Koyejo, Sanmi

122 publications

ICLRW 2025 A Missing Testbed for LLM Pre-Training Membership Inference Attacks Mingjian Jiang, Ken Ziyu Liu, Sanmi Koyejo

NeurIPS 2025 Aligning Compound AI Systems via System-Level DPO Xiangwen Wang, Yibo Jacky Zhang, Zhoujie Ding, Katherine Tsai, Haolun Wu, Sanmi Koyejo

TMLR 2025 Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified? Olawale Elijah Salaudeen, Nicole Chiou, Shiny Weng, Sanmi Koyejo

NeurIPS 2025 AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration Andy Zhou, Kevin Wu, Francesco Pinto, Zhaorun Chen, Yi Zeng, Yu Yang, Shuang Yang, Sanmi Koyejo, James Zou, Bo Li

NeurIPS 2025 Best-of-N Jailbreaking John Hughes, Sara Price, Aengus Lynch, Rylan Schaeffer, Fazl Barez, Arushi Somani, Sanmi Koyejo, Henry Sleight, Erik Jones, Ethan Perez, Mrinank Sharma

ICML 2025 Certified Unlearning for Neural Networks Anastasia Koloskova, Youssef Allouah, Animesh Jha, Rachid Guerraoui, Sanmi Koyejo

ICML 2025 Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World Joshua Kazdan, Rylan Schaeffer, Apratim Dey, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo

ICLR 2025 Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Alan Fries, Christopher Re, Sanmi Koyejo, Nigam Shah

AISTATS 2025 Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration Alexandre Perez-Lebel, Gael Varoquaux, Sanmi Koyejo, Matthieu Doutreligne, Marine Le Morvan

ICLR 2025 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristobal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, Tony Tong Wang, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez

NeurIPS 2025 Fantastic Bugs and Where to Find Them in AI Benchmarks Sang T. Truong, Yuheng Tu, Michael Hardy, Anka Reuel, Zeyu Tang, Jirayu Burapacheep, Jonathan Jude Perera, Chibuike Uwakwe, Benjamin W. Domingue, Nick Haber, Sanmi Koyejo

ICML 2025 From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions Under Incomplete Information? Zhanke Zhou, Xiao Feng, Zhaocheng Zhu, Jiangchao Yao, Sanmi Koyejo, Bo Han

ICML 2025 How Do Large Language Monkeys Get Their Power (Laws)? Rylan Schaeffer, Joshua Kazdan, John Hughes, Jordan Juravsky, Sara Price, Aengus Lynch, Erik Jones, Robert Kirk, Azalia Mirhoseini, Sanmi Koyejo

TMLR 2025 Improving Single-Round Active Adaptation: A Prediction Variability Perspective Xiaoyang Wang, Yibo Jacky Zhang, Olawale Elijah Salaudeen, Mingyuan Wu, Hongpeng Guo, Chaoyang He, Klara Nahrstedt, Sanmi Koyejo

NeurIPS 2025 KGGen: Extracting Knowledge Graphs from Plain Text with Language Models Belinda Mo, Kyssen Yu, Joshua Kazdan, Proud Mpala, Lisa Yu, Charilaos I. Kanatsoulis, Sanmi Koyejo

ICLRW 2025 KGGen: Text to Knowledge Graph Belinda Mo, Kyssen Yu, Joshua Kazdan, Proud Mpala, Lisa Yu, Chris Cundy, Charilaos Kanatsoulis, Sanmi Koyejo

ICLRW 2025 Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models Zhanke Zhou, Xuan Li, Zhaocheng Zhu, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han

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

ICML 2025 Learning to (Learn at Test Time): RNNs with Expressive Hidden States Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin

ICML 2025 Logits Are All We Need to Adapt Closed Models Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo

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

ICLRW 2025 Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds Edward Chen, Sang T. Truong, Natalie Dullerud, Sanmi Koyejo, Carlos Guestrin

ICLRW 2025 Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings Sang T. Truong, Duc Quang Nguyen, Willie Neiswanger, Ryan-Rhys Griffiths, Stefano Ermon, Nick Haber, Sanmi Koyejo

ICLRW 2025 No, of Course I Can! Refusal Mechanisms Can Be Exploited Using Harmless Data Joshua Kazdan, Lisa Yu, Rylan Schaeffer, Chris Cundy, Sanmi Koyejo, Krishnamurthy Dj Dvijotham

TMLR 2025 Open Problems in Technical AI Governance Anka Reuel, Benjamin Bucknall, Stephen Casper, Timothy Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, David Bau, Paul Bricman, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel Kochenderfer, Robert Trager

TMLR 2025 Optimization and Generalization Guarantees for Weight Normalization Pedro Cisneros-Velarde, Zhijie Chen, Sanmi Koyejo, Arindam Banerjee

NeurIPS 2025 Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch, Brando Miranda, Matthias Gerstgrasser, Susan Zhang, Andreas Haupt, Isha Gupta, Elyas Obbad, Jesse Dodge, Jessica Zosa Forde, Francesco Orabona, Sanmi Koyejo, David L. Donoho

ICLRW 2025 Preferential Multi-Objective Bayesian Optimization for Drug Discovery Tai Dang, Long-Hung Pham, Sang T. Truong, Ari Glenn, Wendy Nguyen, Edward A Pham, Jeffrey S. Glenn, Sanmi Koyejo, Thang Luong

ICML 2025 Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs Aryan Gulati, Brando Miranda, Eric Chen, Emily Xia, Kai Fronsdal, Bruno De Moraes Dumont, Sanmi Koyejo

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

ICLR 2025 Scaling Laws for Downstream Task Performance in Machine Translation Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo

ICLRW 2025 TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records Hejie Cui, Alyssa Unell, Bowen Chen, Jason Alan Fries, Emily Alsentzer, Sanmi Koyejo, Nigam Shah

NeurIPS 2025 The Leaderboard Illusion Shivalika Singh, Yiyang Nan, Alex Wang, Daniel D'souza, Sayash Kapoor, Ahmet Üstün, Sanmi Koyejo, Yuntian Deng, Shayne Longpre, Noah A. Smith, Beyza Ermis, Marzieh Fadaee, Sara Hooker

ICLR 2025 The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning Youssef Allouah, Joshua Kazdan, Rachid Guerraoui, Sanmi Koyejo

NeurIPS 2025 Understanding Challenges to the Interpretation of Disaggregated Evaluations of Algorithmic Fairness Stephen R Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Elijah Salaudeen, Awa Dieng, Shannon Sequeira, Santiago Eduardo Arciniegas, Lillian Sung, Nnamdi Peter Okechukwu Ezeanochie, Heather Cole-Lewis, Katherine A Heller, Sanmi Koyejo, Alexander Nicholas D'Amour

ICML 2025 Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo

NeurIPSW 2024 Accumulating Data Avoids Model Collapse Joshua Kazdan, Apratim Dey, Rylan Schaeffer, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo

AISTATS 2024 Adaptive Compression in Federated Learning via Side Information Berivan Isik, Francesco Pase, Deniz Gunduz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi

AISTATS 2024 Causally Inspired Regularization Enables Domain General Representations Olawale Salaudeen, Sanmi Koyejo

ICLRW 2024 Does Data Contamination Make a Difference? Insights from Intentionally Contaminating Pre-Training Data for Language Models Minhao Jiang, Ken Liu, Ming Zhong, Rylan Schaeffer, Siru Ouyang, Jiawei Han, Sanmi Koyejo

NeurIPSW 2024 Does Maximizing Neural Regression Scores Teach Us About the Brain? Rylan Schaeffer, Mikail Khona, Sarthak Chandra, Mitchell Ostrow, Brando Miranda, Sanmi Koyejo

NeurIPS 2024 Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo, Richard Nock, Lalitha Sankar

NeurIPSW 2024 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Zane Durante, Cristobal Eyzaguirre, Joe Benton, Brando Miranda, Henry Sleight, Tony Tong Wang, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez

ICMLW 2024 Fast Machine Unlearning via Robust Training Youssef Allouah, Joshua Kazdan, Rachid Guerraoui, Sanmi Koyejo

TMLR 2024 For Robust Worst-Group Accuracy, Ignore Group Annotations Nathan Stromberg, Rohan Ayyagari, Monica Welfert, Sanmi Koyejo, Richard Nock, Lalitha Sankar

ICLR 2024 HIFA: High-Fidelity Text-to-3D Generation with Advanced Diffusion Guidance Junzhe Zhu, Peiye Zhuang, Sanmi Koyejo

ICMLW 2024 Implementability of Information Elicitation Mechanisms with Pre-Trained Language Models Zachary Robertson, Hannah Cha, Andrew Sheha, Sanmi Koyejo

ICML 2024 Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks Zachary Robertson, Sanmi Koyejo

ICMLW 2024 In-Context Learning of Energy Functions Rylan Schaeffer, Mikail Khona, Sanmi Koyejo

AISTATS 2024 Invariant Aggregator for Defending Against Federated Backdoor Attacks Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople

ICMLW 2024 Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey, Rafael Rafailov, Tomasz Korbak, Henry Sleight, Rajashree Agrawal, John Hughes, Dhruv Bhandarkar Pai, Andrey Gromov, Dan Roberts, Diyi Yang, David L. Donoho, Sanmi Koyejo

ICMLW 2024 Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal

NeurIPSW 2024 On Domain Generalization Datasets as Proxy Benchmarks for Causal Representation Learning Olawale Elijah Salaudeen, Nicole Chiou, Sanmi Koyejo

ICLRW 2024 On Fairness Implications and Evaluations of Low-Rank Adaptation of Large Models Ken Liu, Zhoujie Ding, Berivan Isik, Sanmi Koyejo

TMLR 2024 Personalized Federated Learning with Spurious Features: An Adversarial Approach Xiaoyang Wang, Han Zhao, Klara Nahrstedt, Sanmi Koyejo

NeurIPSW 2024 Policy Dreamer: Diverse Public Policy Generation via Elicitation and Simulation of Human Preferences Arjun Karanam, José Ramón Enríquez, Udari Madhushani Sehwag, Michael Elabd, Kanishk Gandhi, Noah Goodman, Sanmi Koyejo

NeurIPSW 2024 Position: Maximizing Neural Regression Scores May Not Identify Good Models of the Brain Rylan Schaeffer, Mikail Khona, Sarthak Chandra, Mitchell Ostrow, Brando Miranda, Sanmi Koyejo

ICLR 2024 Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo

AISTATS 2024 Proxy Methods for Domain Adaptation Katherine Tsai, Stephen R Pfohl, Olawale Salaudeen, Nicole Chiou, Matt Kusner, Alexander D’Amour, Sanmi Koyejo, Arthur Gretton

NeurIPSW 2024 Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning Aryan Gulati, Brando Miranda, Eric Chen, Emily Xia, Kai Fronsdal, Bruno de Moraes Dumont, Sanmi Koyejo

NeurIPSW 2024 Quantifying Variance in Evaluation Benchmarks Lovish Madaan, Aaditya K Singh, Rylan Schaeffer, Andrew Poulton, Sanmi Koyejo, Pontus Stenetorp, Sharan Narang, Dieuwke Hupkes

ICLRW 2024 Scaling Laws for Downstream Task Performance of Large Language Models Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo

NeurIPS 2024 Sketching for Distributed Deep Learning: A Sharper Analysis Mayank Shrivastava, Berivan Isik, Qiaobo Li, Sanmi Koyejo, Arindam Banerjee

NeurIPSW 2024 Towards Deliberating Agents: Evaluating the Ability of Large Language Models to Deliberate Arjun Karanam, Farnaz Jahanbakhsh, Sanmi Koyejo

ICLRW 2024 Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations Rylan Schaeffer, Berivan Isik, Dhruv Bhandarkar Pai, Andres Carranza, Victor Lecomte, Alyssa Unell, Mikail Khona, Thomas Edward Yerxa, Yann LeCun, SueYeon Chung, Andrey Gromov, Ravid Shwartz-Ziv, Sanmi Koyejo

ICML 2024 Transforming and Combining Rewards for Aligning Large Language Models Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alexander Nicholas D’Amour, Sanmi Koyejo, Victor Veitch

ICLRW 2024 What Causes Polysemanticity? an Alternative Origin Story of Mixed Selectivity from Incidental Causes Victor Lecomte, Kushal Thaman, Rylan Schaeffer, Naomi Bashkansky, Trevor Chow, Sanmi Koyejo

NeurIPSW 2024 When Do Universal Image Jailbreaks Transfer Between Vision-Language Models? Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristobal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, Tony Tong Wang, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez

ICMLW 2024 Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo

AISTATS 2023 Adapting to Latent Subgroup Shifts via Concepts and Proxies Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D’Amour, Arthur Gretton, Sanmi Koyejo, Matt J. Kusner, Stephen R. Pfohl, Olawale Salaudeen, Jessica Schrouff, Katherine Tsai

NeurIPSW 2023 An Information-Theoretic Understanding of Maximum Manifold Capacity Representations Rylan Schaeffer, Berivan Isik, Victor Lecomte, Mikail Khona, Yann LeCun, Andrey Gromov, Ravid Shwartz-Ziv, Sanmi Koyejo

NeurIPSW 2023 An Information-Theoretic Understanding of Maximum Manifold Capacity Representations Victor Lecomte, Rylan Schaeffer, Berivan Isik, Mikail Khona, Yann LeCun, Sanmi Koyejo, Andrey Gromov, Ravid Shwartz-Ziv

NeurIPSW 2023 An Information-Theoretic Understanding of Maximum Manifold Capacity Representations Berivan Isik, Victor Lecomte, Rylan Schaeffer, Yann LeCun, Mikail Khona, Ravid Shwartz-Ziv, Sanmi Koyejo, Andrey Gromov

NeurIPS 2023 Are Emergent Abilities of Large Language Models a Mirage? Rylan Schaeffer, Brando Miranda, Sanmi Koyejo

ICMLW 2023 Are Emergent Abilities of Large Language Models a Mirage? Rylan Schaeffer, Brando Miranda, Sanmi Koyejo

NeurIPSW 2023 Associative Memory Under the Probabilistic Lens: Improved Transformers & Dynamic Memory Creation Rylan Schaeffer, Mikail Khona, Nika Zahedi, Ila R Fiete, Andrey Gromov, Sanmi Koyejo

ICMLW 2023 Beyond Scale: The Diversity Coefficient as a Data Quality Metric Demonstrates LLMs Are Pre-Trained on Formally Diverse Data Alycia Lee, Brando Miranda, Sanmi Koyejo

AISTATS 2023 Cooperative Inverse Decision Theory for Uncertain Preferences Zachary Robertson, Hantao Zhang, Sanmi Koyejo

ICMLW 2023 Deceptive Alignment Monitoring Andres Carranza, Dhruv Bhandarkar Pai, Rylan Schaeffer, Arnuv Tandon, Sanmi Koyejo

NeurIPS 2023 DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

NeurIPSW 2023 Divergence at the Interpolation Threshold: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle Rylan Schaeffer, Zachary Robertson, Akhilan Boopathy, Mikail Khona, Ila Fiete, Andrey Gromov, Sanmi Koyejo

ICMLW 2023 FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation Dhruv Bhandarkar Pai, Andres Carranza, Rylan Schaeffer, Arnuv Tandon, Sanmi Koyejo

UAI 2023 Finite-Sample Guarantees for Nash Q-Learning with Linear Function Approximation Pedro Cisneros-Velarde, Sanmi Koyejo

ICMLW 2023 GPT-Zip: Deep Compression of Finetuned Large Language Models Berivan Isik, Hermann Kumbong, Wanyi Ning, Xiaozhe Yao, Sanmi Koyejo, Ce Zhang

ICMLW 2023 Layer-Wise Feedback Alignment Is Conserved in Deep Neural Networks Zachary Robertson, Sanmi Koyejo

ICMLW 2023 Leveraging Side Information for Communication-Efficient Federated Learning Berivan Isik, Francesco Pase, Deniz Gunduz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi

AISTATS 2023 One Policy Is Enough: Parallel Exploration with a Single Policy Is Near-Optimal for Reward-Free Reinforcement Learning Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar

ICML 2023 Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo

NeurIPSW 2023 Rethinking Bayesian Optimization with Gaussian Processes: Insights from Hyperspectral Trait Search Ruhana Azam, Samuel B Fernandes, Andrew D.B. Leakey, Alexander Lipka, Mohammed Kebir, Sanmi Koyejo

NeurIPSW 2023 Reward Model Aggregation Zihao Wang, Chirag Nagpal, Alexander D'Amour, Victor Veitch, Sanmi Koyejo

NeurIPS 2023 Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristobal Eyzaguirre, Sanmi Koyejo, Ila Fiete

NeurIPSW 2023 Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells Rylan Schaeffer, Mikail Khona, Adrian Bertagnoli, Sanmi Koyejo, Ila R Fiete

NeurIPSW 2023 Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells Rylan Schaeffer, Mikail Khona, Adrian Bertagnoli, Sanmi Koyejo, Ila Fiete

NeurIPSW 2023 Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells Rylan Schaeffer, Mikail Khona, Adrian Bertagnoli, Sanmi Koyejo, Ila R Fiete

ICMLW 2023 Thomas: Learning to Explore Human Preference via Probabilistic Reward Model Sang T. Truong, Duc Quang Nguyen, Tho Quan, Sanmi Koyejo

NeurIPSW 2023 Understanding Subgroup Performance Differences of Fair Predictors Using Causal Models Stephen Robert Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Elijah Salaudeen, Katherine A Heller, Sanmi Koyejo, Alexander Nicholas D'Amour

NeurIPS 2022 A Reduction to Binary Approach for Debiasing Multiclass Datasets Ibrahim M Alabdulmohsin, Jessica Schrouff, Sanmi Koyejo

ICML 2022 Adversarially Robust Models May Not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu, Jacky Y Zhang, Evelyn Ma, Hyun Ho Son, Sanmi Koyejo, Bo Li

NeurIPS 2022 CoPur: Certifiably Robust Collaborative Inference via Feature Purification Jing Liu, Chulin Xie, Sanmi Koyejo, Bo Li

NeurIPS 2022 Diagnosing Failures of Fairness Transfer Across Distribution Shift in Real-World Medical Settings Jessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim M Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour

MLHC 2022 EMIXER: End-to-End Multimodal X-Ray Generation via Self-Supervision Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun

NeurIPS 2022 Fair Wrapping for Black-Box Predictions Alexander Soen, Ibrahim M Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie

AISTATS 2021 Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective Jacky Zhang, Rajiv Khanna, Anastasios Kyrillidis, Sanmi Koyejo

FnTML 2021 Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

ICML 2021 Optimizing Black-Box Metrics with Iterative Example Weighting Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Mahdi Milani Fard, Sanmi Koyejo

ICML 2021 Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability Kaizhao Liang, Jacky Y Zhang, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li

NeurIPS 2020 CSER: Communication-Efficient SGD with Error Reset Cong Xie, Shuai Zheng, Sanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin

NeurIPS 2020 Fair Performance Metric Elicitation Gaurush Hiranandani, Harikrishna Narasimhan, Sanmi Koyejo

NeurIPS 2020 Fairness with Overlapping Groups; a Probabilistic Perspective Forest Yang, Mouhamadou Cisse, Sanmi Koyejo

ICML 2020 On the Consistency of Top-K Surrogate Losses Forest Yang, Sanmi Koyejo

ICML 2020 Optimization and Analysis of the pAp@k Metric for Recommender Systems Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain

ICML 2020 Zeno++: Robust Fully Asynchronous SGD Cong Xie, Sanmi Koyejo, Indranil Gupta

AISTATS 2019 Interpreting Black Box Predictions Using Fisher Kernels Rajiv Khanna, Been Kim, Joydeep Ghosh, Sanmi Koyejo

ICML 2019 Partially Linear Additive Gaussian Graphical Models Sinong Geng, Minhao Yan, Mladen Kolar, Sanmi Koyejo

ICML 2019 Zeno: Distributed Stochastic Gradient Descent with Suspicion-Based Fault-Tolerance Cong Xie, Sanmi Koyejo, Indranil Gupta

ICML 2018 Binary Classification with Karmic, Threshold-Quasi-Concave Metrics Bowei Yan, Sanmi Koyejo, Kai Zhong, Pradeep Ravikumar