Liang, Percy

175 publications

ICLR 2025 AIR-BENCH 2024: A Safety Benchmark Based on Regulation and Policies Specified Risk Categories Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li
ICML 2025 Auditing Prompt Caching in Language Model APIs Chenchen Gu, Xiang Lisa Li, Rohith Kuditipudi, Percy Liang, Tatsunori Hashimoto
NeurIPS 2025 Audits Under Resource, Data, and Access Constraints: Scaling Laws for Less Discriminatory Alternatives Sarah H. Cen, Salil Goyal, Zaynah Javed, Ananya Karthik, Percy Liang, Daniel E. Ho
ICLR 2025 AutoBencher: Towards Declarative Benchmark Construction Xiang Lisa Li, Farzaan Kaiyom, Evan Zheran Liu, Yifan Mai, Percy Liang, Tatsunori Hashimoto
ICLR 2025 BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Yusuf H Roohani, Andrew H. Lee, Qian Huang, Jian Vora, Zachary Steinhart, Kexin Huang, Alexander Marson, Percy Liang, Jure Leskovec
NeurIPS 2025 Blackbox Model Provenance via Palimpsestic Membership Inference Rohith Kuditipudi, Jing Huang, Sally Zhu, Diyi Yang, Christopher Potts, Percy Liang
NeurIPS 2025 BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems Andy K Zhang, Joey Ji, Celeste Menders, Riya Dulepet, Thomas Qin, Ron Yifeng Wang, Junrong Wu, Kyleen Liao, Jiliang Li, Jinghan Hu, Sara Hong, Nardos Demilew, Shivatmica Murgai, Jason Khiem Tran, Nishka Kacheria, Ethan Jun-shen Ho, Denis Liu, Lauren McLane, Olivia Beyer Bruvik, Dai-Rong Han, Seungwoo Kim, Akhil Vyas, Cuiyuanxiu Chen, Ryan Li, Weiran Xu, Jonathan Z Ye, Prerit Choudhary, Siddharth M. Bhatia, Vikram Sivashankar, Yuxuan Bao, Dawn Song, Dan Boneh, Daniel E. Ho, Percy Liang
ICLR 2025 Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models Andy K Zhang, Neil Perry, Riya Dulepet, Joey Ji, Celeste Menders, Justin W Lin, Eliot Jones, Gashon Hussein, Samantha Liu, Donovan Julian Jasper, Pura Peetathawatchai, Ari Glenn, Vikram Sivashankar, Daniel Zamoshchin, Leo Glikbarg, Derek Askaryar, Haoxiang Yang, Aolin Zhang, Rishi Alluri, Nathan Tran, Rinnara Sangpisit, Kenny O Oseleononmen, Dan Boneh, Daniel E. Ho, Percy Liang
ICML 2025 Eliciting Language Model Behaviors with Investigator Agents Xiang Lisa Li, Neil Chowdhury, Daniel D. Johnson, Tatsunori Hashimoto, Percy Liang, Sarah Schwettmann, Jacob Steinhardt
NeurIPS 2025 Establishing Best Practices in Building Rigorous Agentic Benchmarks Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy K Zhang, Shu Liu, Sasha Cui, Sayash Kapoor, Shayne Longpre, Kevin Meng, Rebecca Weiss, Fazl Barez, Rahul Gupta, Jwala Dhamala, Jacob Merizian, Mario Giulianelli, Harry Coppock, Cozmin Ududec, Antony Kellermann, Jasjeet S Sekhon, Jacob Steinhardt, Sarah Schwettmann, Arvind Narayanan, Matei Zaharia, Ion Stoica, Percy Liang, Daniel Kang
ICML 2025 Independence Tests for Language Models Sally Zhu, Ahmed M Ahmed, Rohith Kuditipudi, Percy Liang
ICML 2025 Language Models May Verbatim Complete Text They Were Not Explicitly Trained on Ken Liu, Christopher A. Choquette-Choo, Matthew Jagielski, Peter Kairouz, Sanmi Koyejo, Percy Liang, Nicolas Papernot
NeurIPS 2025 MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering Rushi Qiang, Yuchen Zhuang, Yinghao Li, V K Dingu Sagar, Rongzhi Zhang, ChangHao Li, Ian Shu-Hei Wong, Sherry Yang, Percy Liang, Chao Zhang, Bo Dai
NeurIPS 2025 Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Kevin Klyman, Matthew Jagielski, Katja Filippova, Ken Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Eleni Triantafillou, Peter Kairouz, Nicole Elyse Mitchell, Niloofar Mireshghallah, Abigail Z. Jacobs, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Ilia Shumailov, Andreas Terzis, Solon Barocas, Jennifer Wortman Vaughan, Danah Boyd, Yejin Choi, Sanmi Koyejo, Fernando Delgado, Percy Liang, Daniel E. Ho, Pamela Samuelson, Miles Brundage, David Bau, Seth Neel, Hanna Wallach, Amy B. Cyphert, Mark Lemley, Nicolas Papernot, Katherine Lee
ICLR 2025 Model Equality Testing: Which Model Is This API Serving? Irena Gao, Percy Liang, Carlos Guestrin
NeurIPS 2025 On the Entropy Calibration of Language Models Steven Cao, Gregory Valiant, Percy Liang
ICML 2025 Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI Shayne Longpre, Kevin Klyman, Ruth Elisabeth Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean Mcgregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Dr. Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren Mcilvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan
ICML 2025 Position: Language Model Developers Should Report Train-Test Overlap Andy K Zhang, Kevin Klyman, Yifan Mai, Yoav Levine, Yian Zhang, Rishi Bommasani, Percy Liang
ICML 2025 Reliable and Efficient Amortized Model-Based Evaluation Sang T. Truong, Yuheng Tu, Percy Liang, Bo Li, Sanmi Koyejo
ICLRW 2025 Reliable and Efficient Amortized Model-Based Evaluation Sang T. Truong, Yuheng Tu, Percy Liang, Bo Li, Sanmi Koyejo
CoRL 2025 RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Cyrus Neary, Edward S. Hu, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Tony Wang, Xingfang Yuan, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martín-Martín, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine
ICLRW 2025 S1: Simple Test-Time Scaling Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel Candes, Tatsunori Hashimoto
TMLR 2025 The 2023 Foundation Model Transparency Index Rishi Bommasani, Kevin Klyman, Shayne Longpre, Sayash Kapoor, Nestor Maslej, Betty Xiong, Daniel Zhang, Percy Liang
TMLR 2025 The 2024 Foundation Model Transparency Index Rishi Bommasani, Kevin Klyman, Sayash Kapoor, Shayne Longpre, Betty Xiong, Nestor Maslej, Percy Liang
ICLR 2025 Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape View Kaiyue Wen, Zhiyuan Li, Jason S. Wang, David Leo Wright Hall, Percy Liang, Tengyu Ma
TMLR 2024 Anticipatory Music Transformer John Thickstun, David Leo Wright Hall, Chris Donahue, Percy Liang
ICLR 2024 Benchmarking and Improving Generator-Validator Consistency of Language Models Xiang Lisa Li, Vaishnavi Shrivastava, Siyan Li, Tatsunori Hashimoto, Percy Liang
ICLRW 2024 BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Yusuf H Roohani, Jian Vora, Qian Huang, Percy Liang, Jure Leskovec
NeurIPS 2024 Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making Manling Li, Shiyu Zhao, Qineng Wang, Kangrui Wang, Yu Zhou, Sanjana Srivastava, Cem Gokmen, Tony Lee, Li Erran Li, Ruohan Zhang, Weiyu Liu, Percy Liang, Li Fei-Fei, Jiayuan Mao, Jiajun Wu
NeurIPSW 2024 Foundation Models and the EU AI Act Rishi Bommasani, Alice Hau, Kevin Klyman, Percy Liang
NeurIPS 2024 Image2Struct: Benchmarking Structure Extraction for Vision-Language Models Josselin Somerville Roberts, Tony Lee, Chi Heem Wong, Michihiro Yasunaga, Yifan Mai, Percy Liang
ICLR 2024 Large Language Models as Analogical Reasoners Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou
ICML 2024 MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation Qian Huang, Jian Vora, Percy Liang, Jure Leskovec
AAAI 2024 MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah
ICLR 2024 On the Learnability of Watermarks for Language Models Chenchen Gu, Xiang Lisa Li, Percy Liang, Tatsunori Hashimoto
CoRL 2024 OpenVLA: An Open-Source Vision-Language-Action Model Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan P Foster, Pannag R Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn
ICML 2024 Position: A Safe Harbor for AI Evaluation and Red Teaming Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Alex Pentland, Arvind Narayanan, Percy Liang, Peter Henderson
ICML 2024 Position: On the Societal Impact of Open Foundation Models Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan
ICML 2024 Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna, Percy Liang, Thomas Kollar, Dorsa Sadigh
NeurIPS 2024 RedPajama: An Open Dataset for Training Large Language Models Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang
TMLR 2024 Robust Distortion-Free Watermarks for Language Models Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang
ICLR 2024 Sophia: A Scalable Stochastic Second-Order Optimizer for Language Model Pre-Training Hong Liu, Zhiyuan Li, David Leo Wright Hall, Percy Liang, Tengyu Ma
TMLR 2024 The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources Shayne Longpre, Stella Biderman, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Ifeoluwa Adelani, Percy Liang, Rishi Bommasani, Peter Henderson, Sasha Luccioni, Yacine Jernite, Luca Soldaini
NeurIPS 2024 VHELM: A Holistic Evaluation of Vision Language Models Tony Lee, Haoqin Tu, Chi Heem Wong, Wenhao Zheng, Yiyang Zhou, Yifan Mai, Josselin Somerville Roberts, Michihiro Yasunaga, Huaxiu Yao, Cihang Xie, Percy Liang
CoRL 2024 Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration Jennifer Grannen, Siddharth Karamcheti, Suvir Mirchandani, Percy Liang, Dorsa Sadigh
NeurIPS 2023 AlpacaFarm: A Simulation Framework for Methods That Learn from Human Feedback Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B Hashimoto
NeurIPSW 2023 Benchmarking Large Language Models as AI Research Agents Qian Huang, Jian Vora, Percy Liang, Jure Leskovec
TMLR 2023 Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Johan Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew Kyle Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakaş, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cesar Ferri, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Christopher Waites, Christian Voigt, Christopher D Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, C. Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A Chi, Ethan Dyer, Ethan Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, Francois Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germàn Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Xinyue Wang, Gonzalo Jaimovitch-Lopez, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Francis Anthony Shevlin, Hinrich Schuetze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, Jose Hernandez-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh Dhole, Kevin Gimpel, Kevin Omondi, Kory Wallace Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras-Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros-Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje Ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, Maria Jose Ramirez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L Leavitt, Matthias Hagen, Mátyás Schubert, Medina Orduna Baitemirova, Melody Arnaud, Melvin McElrath, Michael Andrew Yee, Michael Cohen, Michael Gu, Michael Ivanitskiy, Michael Starritt, Michael Strube, Michał Swędrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T, Nanyun Peng, Nathan Andrew Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha S. Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter W Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Miłkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan Le Bras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Russ Salakhutdinov, Ryan Andrew Chi, Seungjae Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel Stern Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima Shammie Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven Piantadosi, Stuart Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsunori Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay Venkatesh Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Sophie Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu
NeurIPS 2023 Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models Deepak Narayanan, Keshav Santhanam, Peter Henderson, Rishi Bommasani, Tony Lee, Percy Liang
ICML 2023 CocktailSGD: Fine-Tuning Foundation Models over 500Mbps Networks Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Re, Ce Zhang
NeurIPS 2023 Data Selection for Language Models via Importance Resampling Sang Michael Xie, Shibani Santurkar, Tengyu Ma, Percy Liang
NeurIPS 2023 DoReMi: Optimizing Data Mixtures Speeds up Language Model Pretraining Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V Le, Tengyu Ma, Adams Wei Yu
NeurIPS 2023 Ecosystem-Level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes Connor Toups, Rishi Bommasani, Kathleen Creel, Sarah Bana, Dan Jurafsky, Percy Liang
TMLR 2023 Evaluating Human-Language Model Interaction Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang
ICML 2023 Evaluating Self-Supervised Learning via Risk Decomposition Yann Dubois, Tatsunori Hashimoto, Percy Liang
ICML 2023 FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Re, Ion Stoica, Ce Zhang
JMLR 2023 Foundation Models and Fair Use Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, Percy Liang
TMLR 2023 Holistic Evaluation of Language Models Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D Manning, Christopher Re, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
NeurIPS 2023 Holistic Evaluation of Text-to-Image Models Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang
ICLR 2023 Is a Caption Worth a Thousand Images? a Study on Representation Learning Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
NeurIPS 2023 Lexinvariant Language Models Qian Huang, Eric Zelikman, Sarah Chen, Yuhuai Wu, Gregory Valiant, Percy Liang
ICMLW 2023 Lexinvariant Language Models Qian Huang, Eric Zelikman, Sarah Li Chen, Yuhuai Wu, Gregory Valiant, Percy Liang
ICML 2023 One-Sided Matrix Completion from Two Observations per Row Steven Cao, Percy Liang, Gregory Valiant
ICML 2023 Out-of-Domain Robustness via Targeted Augmentations Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang
NeurIPS 2023 PRODIGY: Enabling In-Context Learning over Graphs Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec
ICMLW 2023 PRODIGY: Enabling In-Context Learning over Graphs Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec
ICML 2023 Retrieval-Augmented Multimodal Language Modeling Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih
ICMLW 2023 Sophia: A Scalable Stochastic Second-Order Optimizer for Language Model Pre-Training Hong Liu, Zhiyuan Li, David Leo Wright Hall, Percy Liang, Tengyu Ma
ICLR 2023 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee, Annie S Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
NeurIPSW 2023 Teaching Language Models with Canonical Examples John Hewitt, Sarah Li Chen, Percy Liang, Christopher D Manning
ICML 2023 Whose Opinions Do Language Models Reflect? Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto
ICLR 2022 An Explanation of In-Context Learning as Implicit Bayesian Inference Sang Michael Xie, Aditi Raghunathan, Percy Liang, Tengyu Ma
UAI 2022 Calibrated Ensembles Can Mitigate Accuracy Tradeoffs Under Distribution Shift Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan
ICML 2022 Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation Kendrick Shen, Robbie M Jones, Ananya Kumar, Sang Michael Xie, Jeff Z. Haochen, Tengyu Ma, Percy Liang
NeurIPS 2022 Decentralized Training of Foundation Models in Heterogeneous Environments Binhang Yuan, Yongjun He, Jared Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang
NeurIPS 2022 Deep Bidirectional Language-Knowledge Graph Pretraining Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D Manning, Percy Liang, Jure Leskovec
NeurIPS 2022 Diffusion-LM Improves Controllable Text Generation Xiang Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B Hashimoto
TMLR 2022 Emergent Abilities of Large Language Models Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus
ICLR 2022 Extending the WILDS Benchmark for Unsupervised Adaptation Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang
ICLR 2022 Fine-Tuning Can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar, Aditi Raghunathan, Robbie Matthew Jones, Tengyu Ma, Percy Liang
ICLR 2022 GreaseLM: Graph REASoning Enhanced Language Models Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D Manning, Jure Leskovec
NeurIPS 2022 Improving Self-Supervised Learning by Characterizing Idealized Representations Yann Dubois, Stefano Ermon, Tatsunori B Hashimoto, Percy Liang
NeurIPS 2022 Insights into Pre-Training via Simpler Synthetic Tasks Yuhuai Wu, Felix Li, Percy Liang
ICLR 2022 Large Language Models Can Be Strong Differentially Private Learners Xuechen Li, Florian Tramer, Percy Liang, Tatsunori Hashimoto
ICMLW 2022 LinkBERT: Pretraining Language Models with Document Links Michihiro Yasunaga, Jure Leskovec, Percy Liang
ICMLW 2022 LinkBERT: Pretraining Language Models with Document Links Michihiro Yasunaga, Jure Leskovec, Percy Liang
NeurIPSW 2022 Out-of-Distribution Robustness via Targeted Augmentations Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang
NeurIPS 2022 Picking on the Same Person: Does Algorithmic Monoculture Lead to Outcome Homogenization? Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang
MLJ 2022 Stronger Data Poisoning Attacks Break Data Sanitization Defenses Pang Wei Koh, Jacob Steinhardt, Percy Liang
NeurIPSW 2022 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee, Annie S Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
NeurIPSW 2022 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee, Annie S Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
NeurIPS 2022 What Can Transformers Learn In-Context? a Case Study of Simple Function Classes Shivam Garg, Dimitris Tsipras, Percy Liang, Gregory Valiant
ICML 2021 Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization John P Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt
ICML 2021 Break-It-Fix-It: Unsupervised Learning for Program Repair Michihiro Yasunaga, Percy Liang
NeurIPSW 2021 Calibrated Ensembles: A Simple Way to Mitigate ID-OOD Accuracy Tradeoffs Ananya Kumar, Aditi Raghunathan, Tengyu Ma, Percy Liang
ICML 2021 Catformer: Designing Stable Transformers via Sensitivity Analysis Jared Q Davis, Albert Gu, Krzysztof Choromanski, Tri Dao, Christopher Re, Chelsea Finn, Percy Liang
ICML 2021 Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization Sang Michael Xie, Tengyu Ma, Percy Liang
ICML 2021 Decoupling Exploration and Exploitation for Meta-Reinforcement Learning Without Sacrifices Evan Z Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn
NeurIPSW 2021 Ensembles and Cocktails: Robust Finetuning for Natural Language Generation John Hewitt, Xiang Lisa Li, Sang Michael Xie, Benjamin Newman, Percy Liang
NeurIPSW 2021 Extending the WILDS Benchmark for Unsupervised Adaptation Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang
NeurIPSW 2021 How Does Contrastive Pre-Training Connect Disparate Domains? Kendrick Shen, Robbie Matthew Jones, Ananya Kumar, Sang Michael Xie, Percy Liang
ICLR 2021 In-N-Out: Pre-Training and Self-Training Using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang
ICML 2021 Just Train Twice: Improving Group Robustness Without Training Group Information Evan Z Liu, Behzad Haghgoo, Annie S Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn
CoRL 2021 LILA: Language-Informed Latent Actions Siddharth Karamcheti, Megha Srivastava, Percy Liang, Dorsa Sadigh
ICLR 2021 Selective Classification Can Magnify Disparities Across Groups Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang
NeurIPSW 2021 Simple Baselines Are Strong Performers for Differentially Private Natural Language Processing Xuechen Li, Florian Tramer, Percy Liang, Tatsunori Hashimoto
ICML 2020 An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa, Aditi Raghunathan, Pang Wei Koh, Percy Liang
ICML 2020 Concept Bottleneck Models Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang
ICLR 2020 Distributionally Robust Neural Networks Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, Percy Liang
NeurIPS 2020 Enabling Certification of Verification-Agnostic Networks via Memory-Efficient Semidefinite Programming Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy R Bunel, Shreya Shankar, Jacob Steinhardt, Ian Goodfellow, Percy Liang, Pushmeet Kohli
ICMLW 2020 Explore Then Execute: Adapting Without Rewards via Factorized Meta-Reinforcement Learning Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn
ICML 2020 Feature Noise Induces Loss Discrepancy Across Groups Fereshte Khani, Percy Liang
ICML 2020 Graph-Based, Self-Supervised Program Repair from Diagnostic Feedback Michihiro Yasunaga, Percy Liang
NeurIPSW 2020 On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks Stephen Mussmann, Robin Jia, Percy Liang
ICML 2020 Robustness to Spurious Correlations via Human Annotations Megha Srivastava, Tatsunori Hashimoto, Percy Liang
ICLR 2020 Selection via Proxy: Efficient Data Selection for Deep Learning Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia
NeurIPSW 2020 Selective Classification Can Magnify Disparities Across Groups Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang
ICLR 2020 Strategies for Pre-Training Graph Neural Networks Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay Pande, Jure Leskovec
ICML 2020 Understanding Self-Training for Gradual Domain Adaptation Ananya Kumar, Tengyu Ma, Percy Liang
ICML 2020 Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John Duchi, Percy Liang
ICMLW 2019 Adversarial Training Can Hurt Generalization Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John Duchi, Percy Liang
AISTATS 2019 Defending Against Whitebox Adversarial Attacks via Randomized Discretization Yuchen Zhang, Percy Liang
AISTATS 2019 Inferring Multidimensional Rates of Aging from Cross-Sectional Data Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang
ICLR 2019 Learning a SAT Solver from Single-Bit Supervision Daniel Selsam, Matthew Lamm, Benedikt B\"{u}nz, Percy Liang, Leonardo de Moura, David L. Dill
NeurIPS 2019 On the Accuracy of Influence Functions for Measuring Group Effects Pang Wei W Koh, Kai-Siang Ang, Hubert Teo, Percy Liang
NeurIPS 2019 SPoC: Search-Based Pseudocode to Code Sumith Kulal, Panupong Pasupat, Kartik Chandra, Mina Lee, Oded Padon, Alex Aiken, Percy Liang
NeurIPS 2019 Unlabeled Data Improves Adversarial Robustness Yair Carmon, Aditi Raghunathan, Ludwig Schmidt, John C. Duchi, Percy Liang
NeurIPS 2019 Verified Uncertainty Calibration Ananya Kumar, Percy Liang, Tengyu Ma
NeurIPS 2018 A Retrieve-and-Edit Framework for Predicting Structured Outputs Tatsunori B Hashimoto, Kelvin Guu, Yonatan Oren, Percy Liang
ICLR 2018 Certified Defenses Against Adversarial Examples Aditi Raghunathan, Jacob Steinhardt, Percy Liang
ICML 2018 Fairness Without Demographics in Repeated Loss Minimization Tatsunori Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang
AISTATS 2018 Generalized Binary Search for Split-Neighborly Problems Stephen Mussmann, Percy Liang
ICML 2018 On the Relationship Between Data Efficiency and Error for Uncertainty Sampling Stephen Mussmann, Percy Liang
ICLR 2018 Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang
NeurIPS 2018 Semidefinite Relaxations for Certifying Robustness to Adversarial Examples Aditi Raghunathan, Jacob Steinhardt, Percy Liang
NeurIPS 2018 Uncertainty Sampling Is Preconditioned Stochastic Gradient Descent on Zero-One Loss Stephen Mussmann, Percy Liang
COLT 2017 A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics Yuchen Zhang, Percy Liang, Moses Charikar
NeurIPS 2017 Certified Defenses for Data Poisoning Attacks Jacob Steinhardt, Pang Wei W Koh, Percy Liang
ICML 2017 Convexified Convolutional Neural Networks Yuchen Zhang, Percy Liang, Martin J. Wainwright
ICML 2017 Developing Bug-Free Machine Learning Systems with Formal Mathematics Daniel Selsam, Percy Liang, David L. Dill
NeurIPS 2017 Learning Overcomplete HMMs Vatsal Sharan, Sham M. Kakade, Percy Liang, Gregory Valiant
ICML 2017 Understanding Black-Box Predictions via Influence Functions Pang Wei Koh, Percy Liang
NeurIPS 2017 Unsupervised Transformation Learning via Convex Relaxations Tatsunori B Hashimoto, Percy Liang, John C. Duchi
ICML 2017 World of Bits: An Open-Domain Platform for Web-Based Agents Tianlin Shi, Andrej Karpathy, Linxi Fan, Jonathan Hernandez, Percy Liang
ICML 2016 Estimation from Indirect Supervision with Linear Moments Aditi Raghunathan, Roy Frostig, John Duchi, Percy Liang
NeurIPS 2016 Unsupervised Risk Estimation Using Only Conditional Independence Structure Jacob Steinhardt, Percy Liang
NeurIPS 2015 Calibrated Structured Prediction Volodymyr Kuleshov, Percy Liang
NeurIPS 2015 Estimating Mixture Models via Mixtures of Polynomials Sida Wang, Arun Tejasvi Chaganty, Percy Liang
ICML 2015 Learning Fast-Mixing Models for Structured Prediction Jacob Steinhardt, Percy Liang
AISTATS 2015 Learning Where to Sample in Structured Prediction Tianlin Shi, Jacob Steinhardt, Percy Liang
NeurIPS 2015 Learning with Relaxed Supervision Jacob Steinhardt, Percy Liang
NeurIPS 2015 On-the-Job Learning with Bayesian Decision Theory Keenon Werling, Arun Tejasvi Chaganty, Percy Liang, Christopher D. Manning
ICML 2015 Reified Context Models Jacob Steinhardt, Percy Liang
AISTATS 2015 Tensor Factorization via Matrix Factorization Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang
ICML 2014 Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm Jacob Steinhardt, Percy Liang
NeurIPS 2014 Altitude Training: Strong Bounds for Single-Layer Dropout Stefan Wager, William Fithian, Sida Wang, Percy Liang
ICML 2014 Estimating Latent-Variable Graphical Models Using Moments and Likelihoods Arun Tejasvi Chaganty, Percy Liang
ICML 2014 Filtering with Abstract Particles Jacob Steinhardt, Percy Liang
ECCV 2014 Linking People in Videos with "Their" Names Using Coreference Resolution Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei
ICLR 2014 Relaxations for Inference in Restricted Boltzmann Machines Sida I. Wang, Roy Frostig, Percy Liang, Christopher D. Manning
NeurIPS 2014 Simple MAP Inference via Low-Rank Relaxations Roy Frostig, Sida Wang, Percy Liang, Christopher D. Manning
NeurIPS 2013 Dropout Training as Adaptive Regularization Stefan Wager, Sida Wang, Percy Liang
ICML 2013 Spectral Experts for Estimating Mixtures of Linear Regressions Arun Tejasvi Chaganty, Percy Liang
ICCV 2013 Video Event Understanding Using Natural Language Descriptions Vignesh Ramanathan, Percy Liang, Li Fei-Fei
NeurIPS 2012 Identifiability and Unmixing of Latent Parse Trees Daniel J. Hsu, Sham M. Kakade, Percy Liang
ICML 2010 Learning Programs: A Hierarchical Bayesian Approach Percy Liang, Michael I. Jordan, Dan Klein
ICML 2010 On the Interaction Between Norm and Dimensionality: Multiple Regimes in Learning Percy Liang, Nati Srebro
NeurIPS 2009 Asymptotically Optimal Regularization in Smooth Parametric Models Percy Liang, Guillaume Bouchard, Francis R. Bach, Michael I. Jordan
ICML 2009 Learning from Measurements in Exponential Families Percy Liang, Michael I. Jordan, Dan Klein
ICML 2008 An Asymptotic Analysis of Generative, Discriminative, and Pseudolikelihood Estimators Percy Liang, Michael I. Jordan
ICML 2008 Structure Compilation: Trading Structure for Features Percy Liang, Hal Daumé Iii, Dan Klein
ICML 2007 A Permutation-Augmented Sampler for DP Mixture Models Percy Liang, Michael I. Jordan, Benjamin Taskar
NeurIPS 2007 A Probabilistic Approach to Language Change Alexandre Bouchard-côté, Percy Liang, Dan Klein, Thomas L. Griffiths
NeurIPS 2007 Agreement-Based Learning Percy Liang, Dan Klein, Michael I. Jordan
ICCV 2005 Learning Non-Generative Grammatical Models for Document Analysis Michael Shilman, Percy Liang, Paul A. Viola