Kolter, J. Zico

165 publications

ICLR 2025 Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws Yiding Jiang, Allan Zhou, Zhili Feng, Sadhika Malladi, J Zico Kolter

ICLR 2025 AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, J Zico Kolter, Matt Fredrikson, Yarin Gal, Xander Davies

NeurIPS 2025 Antidistillation Sampling Yash Savani, Asher Trockman, Zhili Feng, Yixuan Even Xu, Avi Schwarzschild, Alexander Robey, Marc Anton Finzi, J Zico Kolter

ICLRW 2025 Assessing Diversity Collapse in Reasoning Xingyu Dang, Christina Baek, J Zico Kolter, Aditi Raghunathan

TMLR 2025 Automated Black-Box Prompt Engineering for Personalized Text-to-Image Generation Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Nathaniel Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J Zico Kolter

ICLR 2025 Compute-Optimal LLMs Provably Generalize Better with Scale Marc Anton Finzi, Sanyam Kapoor, Diego Granziol, Anming Gu, Christopher De Sa, J Zico Kolter, Andrew Gordon Wilson

ICLR 2025 Consistency Models Made Easy Zhengyang Geng, Ashwini Pokle, Weijian Luo, Justin Lin, J Zico Kolter

ICLRW 2025 Context-Parametric Inversion: Why Instruction Finetuning Can Worsen Context Reliance Sachin Goyal, Christina Baek, J Zico Kolter, Aditi Raghunathan

ICLR 2025 Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance Sachin Goyal, Christina Baek, J Zico Kolter, Aditi Raghunathan

ICML 2025 Contextures: Representations from Contexts Runtian Zhai, Kai Yang, Burak Varıcı, Che-Ping Tsai, J Zico Kolter, Pradeep Kumar Ravikumar

CoRL 2025 DEQ-MPC : Deep Equilibrium Model Predictive Control Swaminathan Gurumurthy, Khai Nguyen, Arun L Bishop, J Zico Kolter, Zachary Manchester

ICLRW 2025 Evaluating LLM Memorization Using Soft Token Sparsity Zhili Feng, Yixuan Even Xu, Pratyush Maini, Alexander Robey, Avi Schwarzschild, J Zico Kolter

TMLR 2025 Finetuning CLIP to Reason About Pairwise Differences Dylan Sam, Devin Willmott, João D. Semedo, J Zico Kolter

ICML 2025 Idiosyncrasies in Large Language Models Mingjie Sun, Yida Yin, Zhiqiu Xu, J Zico Kolter, Zhuang Liu

ICLR 2025 Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters Kevin Li, Sachin Goyal, João D. Semedo, J Zico Kolter

ICLRW 2025 Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters Kevin Li, Sachin Goyal, João D. Semedo, J Zico Kolter

NeurIPS 2025 Mean Flows for One-Step Generative Modeling Zhengyang Geng, Mingyang Deng, Xingjian Bai, J Zico Kolter, Kaiming He

ICLRW 2025 Mimetic Initialization Helps State Space Models Learn to Recall Asher Trockman, Hrayr Harutyunyan, J Zico Kolter, Sanjiv Kumar, Srinadh Bhojanapalli

ICLRW 2025 Mimetic Initialization of MLPs Asher Trockman, J Zico Kolter

NeurIPS 2025 OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents Thomas Kuntz, Agatha Duzan, Hao Zhao, Francesco Croce, J Zico Kolter, Nicolas Flammarion, Maksym Andriushchenko

NeurIPS 2025 OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics Vineeth Dorna, Anmol Reddy Mekala, Wenlong Zhao, Andrew McCallum, J Zico Kolter, Zachary Chase Lipton, Pratyush Maini

NeurIPS 2025 Predicting the Performance of Black-Box Language Models with Follow-up Queries Dylan Sam, Marc Anton Finzi, J Zico Kolter

NeurIPS 2025 Safety Pretraining: Toward the Next Generation of Safe AI Pratyush Maini, Sachin Goyal, Dylan Sam, Alexander Robey, Yash Savani, Yiding Jiang, Andy Zou, Matt Fredrikson, Zachary Chase Lipton, J Zico Kolter

NeurIPS 2025 Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition Andy Zou, Maxwell Lin, Eliot Krzysztof Jones, Micha V. Nowak, Mateusz Dziemian, Nick Winter, Valent Nathanael, Ayla Croft, Xander Davies, Jai Patel, Robert Kirk, Yarin Gal, Dan Hendrycks, J Zico Kolter, Matt Fredrikson

AISTATS 2025 Theory of Agreement-on-the-Line in Linear Models and Gaussian Data Christina Baek, Aditi Raghunathan, J Zico Kolter

ICML 2025 Training a Generally Curious Agent Fahim Tajwar, Yiding Jiang, Abitha Thankaraj, Sumaita Sadia Rahman, J Zico Kolter, Jeff Schneider, Russ Salakhutdinov

ICLRW 2025 Training a Generally Curious Agent Fahim Tajwar, Yiding Jiang, Abitha Thankaraj, Sumaita Sadia Rahman, J Zico Kolter, Jeff Schneider, Ruslan Salakhutdinov

ICLR 2025 Understanding Optimization in Deep Learning with Central Flows Jeremy Cohen, Alex Damian, Ameet Talwalkar, J Zico Kolter, Jason D. Lee

ICML 2025 Unnatural Languages Are Not Bugs but Features for LLMs Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J Zico Kolter, Michael Qizhe Shieh

ICLRW 2025 Unnatural Languages Are Not Bugs but Features for LLMs Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J Zico Kolter, Michael Qizhe Shieh

ICLR 2024 A Simple and Effective Pruning Approach for Large Language Models Mingjie Sun, Zhuang Liu, Anna Bair, J Zico Kolter

ICLRW 2024 AcceleratedLiNGAM: Learning Causal DAGs at the Speed of GPUs Victor Akinwande, J Zico Kolter

ICLRW 2024 Augmentation Alone Leads to Generalization Runtian Zhai, Bingbin Liu, Andrej Risteski, J Zico Kolter, Pradeep Kumar Ravikumar

UAI 2024 Computing Low-Entropy Couplings for Large-Support Distributions Samuel Sokota, Dylan Sam, Christian Witt, Spencer Compton, Jakob Foerster, J. Zico Kolter

NeurIPS 2024 Diffusing Differentiable Representations Yash Savani, Marc Finzi, J. Zico Kolter

ICLR 2024 Manifold Preserving Guided Diffusion Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon

ICLRW 2024 Massive Activations in Large Language Models Mingjie Sun, Xinlei Chen, J Zico Kolter, Zhuang Liu

ICLR 2024 On the Joint Interaction of Models, Data, and Features Yiding Jiang, Christina Baek, J Zico Kolter

NeurIPS 2024 One-Step Diffusion Distillation Through Score Implicit Matching Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico Kolter, Guo-jun Qi

NeurIPS 2024 Rethinking LLM Memorization Through the Lens of Adversarial Compression Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter

NeurIPSW 2024 Rethinking LLM Memorization Through the Lens of Adversarial Compression Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary Chase Lipton, J Zico Kolter

CVPR 2024 Scaling Laws for Data Filtering-- Data Curation Cannot Be Compute Agnostic Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter

ICLR 2024 T-MARS: Improving Visual Representations by Circumventing Text Feature Learning Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J Zico Kolter, Aditi Raghunathan

ICLRW 2024 TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary Chase Lipton, J Zico Kolter

NeurIPSW 2024 TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary Chase Lipton, J Zico Kolter

NeurIPS 2024 Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line Eungyeup Kim, Mingjie Sun, Christina Baek, Aditi Raghunathan, J. Zico Kolter

TMLR 2024 Text Descriptions Are Compressive and Invariant Representations for Visual Learning Zhili Feng, Anna Bair, J Zico Kolter

ICLRW 2024 The Science of Data Filtering: Data Curation Cannot Be Compute Agnostic Sachin Goyal, Pratyush Maini, Zachary Chase Lipton, Aditi Raghunathan, J Zico Kolter

ICLR 2024 The Update-Equivalence Framework for Decision-Time Planning Samuel Sokota, Gabriele Farina, David J Wu, Hengyuan Hu, Kevin A. Wang, J Zico Kolter, Noam Brown

NeurIPS 2024 Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models Aviv Bick, Kevin Y. Li, Eric P. Xing, J. Zico Kolter, Albert Gu

ICLR 2024 Understanding Augmentation-Based Self-Supervised Representation Learning via RKHS Approximation and Regression Runtian Zhai, Bingbin Liu, Andrej Risteski, J Zico Kolter, Pradeep Kumar Ravikumar

NeurIPS 2024 Understanding Hallucinations in Diffusion Models Through Mode Interpolation Sumukh K Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter

ICLR 2024 Understanding Prompt Engineering May Not Require Rethinking Generalization Victor Akinwande, Yiding Jiang, Dylan Sam, J Zico Kolter

ICLR 2024 Why Is SAM Robust to Label Noise? Christina Baek, J Zico Kolter, Aditi Raghunathan

ICLR 2023 (Certified!!) Adversarial Robustness for Free! Nicholas Carlini, Florian Tramer, Krishnamurthy Dj Dvijotham, Leslie Rice, Mingjie Sun, J Zico Kolter

ICMLW 2023 A Simple and Effective Pruning Approach for Large Language Models Mingjie Sun, Zhuang Liu, Anna Bair, J Zico Kolter

ICLR 2023 A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games Samuel Sokota, Ryan D'Orazio, J Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer

ICML 2023 Abstracting Imperfect Information Away from Two-Player Zero-Sum Games Samuel Sokota, Ryan D’Orazio, Chun Kai Ling, David J Wu, J Zico Kolter, Noam Brown

ICML 2023 Can Neural Network Memorization Be Localized? Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J Zico Kolter, Chiyuan Zhang

NeurIPS 2023 Deep Equilibrium Based Neural Operators for Steady-State PDEs Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary Lipton, Jianfeng Lu, Andrej Risteski

ICMLW 2023 Deep Equilibrium Based Neural Operators for Steady-State PDEs Tanya Marwah, Ashwini Pokle, J Zico Kolter, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski

L4DC 2023 Deep Off-Policy Iterative Learning Control Swaminathan Gurumurthy, J Zico Kolter, Zachary Manchester

ICMLW 2023 Differentially Private Generation of High Fidelity Samples from Diffusion Models Vikash Sehwag, Ashwinee Panda, Ashwini Pokle, Xinyu Tang, Saeed Mahloujifar, Mung Chiang, J Zico Kolter, Prateek Mittal

AAAI 2023 Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games Chun Kai Ling, J. Zico Kolter, Fei Fang

NeurIPS 2023 Language Models Are Weak Learners Hariharan Manikandan, Yiding Jiang, J. Zico Kolter

ICMLW 2023 Language Models Are Weak Learners Hariharan Manikandan, Yiding Jiang, J Zico Kolter

NeurIPS 2023 Learning with Explanation Constraints Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina F Balcan, Pradeep K. Ravikumar

ICLRW 2023 Learning with Explanation Constraints Rattana Pukdee, Dylan Sam, J Zico Kolter, Nina Balcan, Pradeep Kumar Ravikumar

AAAI 2023 Losses over Labels: Weakly Supervised Learning via Direct Loss Construction Dylan Sam, J. Zico Kolter

ICML 2023 Mimetic Initialization of Self-Attention Layers Asher Trockman, J Zico Kolter

ICMLW 2023 Model-Tuning via Prompts Makes NLP Models Adversarially Robust Mrigank Raman, Pratyush Maini, J Zico Kolter, Zachary Chase Lipton, Danish Pruthi

TMLR 2023 Monotone Deep Boltzmann Machines Zhili Feng, Ezra Winston, J Zico Kolter

NeurIPS 2023 Neural Functional Transformers Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn

NeurIPS 2023 On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang, J. Zico Kolter, Roberta Raileanu

NeurIPS 2023 One-Step Diffusion Distillation via Deep Equilibrium Models Zhengyang Geng, Ashwini Pokle, J. Zico Kolter

ICMLW 2023 One-Step Diffusion Distillation via Deep Equilibrium Models Zhengyang Geng, Ashwini Pokle, J Zico Kolter

TMLR 2023 Patches Are All You Need? Asher Trockman, J Zico Kolter

ICLR 2023 Perfectly Secure Steganography Using Minimum Entropy Coupling Christian Schroeder de Witt, Samuel Sokota, J Zico Kolter, Jakob Nicolaus Foerster, Martin Strohmeier

NeurIPS 2023 Permutation Equivariant Neural Functionals Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn

L4DC 2023 Practical Critic Gradient Based Actor Critic for On-Policy Reinforcement Learning Swaminathan Gurumurthy, Zachary Manchester, J Zico Kolter

NeurIPSW 2023 Predicting the Performance of Foundation Models via Agreement-on-the-Line Aman Mehra, Rahul Saxena, Taeyoun Kim, Christina Baek, J Zico Kolter, Aditi Raghunathan

NeurIPSW 2023 Predicting the Performance of Foundation Models via Agreement-on-the-Line Rahul Saxena, Aman Mehra, Taeyoun Kim, Christina Baek, J Zico Kolter, Aditi Raghunathan

NeurIPS 2023 Provably Bounding Neural Network Preimages Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang

NeurIPSW 2023 Reliable Test-Time Adaptation via Agreement-on-the-Line Eungyeup Kim, Mingjie Sun, Aditi Raghunathan, J Zico Kolter

ICLR 2023 Simple Initialization and Parametrization of Sinusoidal Networks via Their Kernel Bandwidth Filipe de Avila Belbute-Peres, J Zico Kolter

ICMLW 2023 Understanding Prompt Engineering Does Not Require Rethinking Generalization Victor Akinwande, Yiding Jiang, Dylan Sam, J Zico Kolter

ICLR 2023 Understanding Why Generalized Reweighting Does Not Improve over ERM Runtian Zhai, Chen Dan, J Zico Kolter, Pradeep Kumar Ravikumar

ICLR 2023 Understanding the Covariance Structure of Convolutional Filters Asher Trockman, Devin Willmott, J Zico Kolter

ICLR 2022 A Fine-Tuning Approach to Belief State Modeling Samuel Sokota, Hengyuan Hu, David J Wu, J Zico Kolter, Jakob Nicolaus Foerster, Noam Brown

NeurIPSW 2022 A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games Samuel Sokota, Ryan D'Orazio, J Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer

NeurIPS 2022 Agreement-on-the-Line: Predicting the Performance of Neural Networks Under Distribution Shift Christina Baek, Yiding Jiang, Aditi Raghunathan, J. Zico Kolter

ICLR 2022 Assessing Generalization of SGD via Disagreement Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J Zico Kolter

ICLR 2022 Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation Colin Wei, J Zico Kolter

NeurIPS 2022 Characterizing Datapoints via Second-Split Forgetting Pratyush Maini, Saurabh Garg, Zachary Lipton, J. Zico Kolter

ICMLW 2022 Characterizing Datapoints via Second-Split Forgetting Pratyush Maini, Saurabh Garg, Zachary Chase Lipton, J Zico Kolter

NeurIPS 2022 Deep Equilibrium Approaches to Diffusion Models Ashwini Pokle, Zhengyang Geng, J. Zico Kolter

CVPR 2022 Deep Equilibrium Optical Flow Estimation Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter

NeurIPSW 2022 Denoised Smoothing with Sample Rejection for Robustifying Pretrained Classifiers Fatemeh Sheikholeslami, Wan-Yi Lin, Jan Hendrik Metzen, Huan Zhang, J Zico Kolter

NeurIPS 2022 Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh

NeurIPS 2022 General Cutting Planes for Bound-Propagation-Based Neural Network Verification Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter

NeurIPSW 2022 Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, J Zico Kolter

NeurIPSW 2022 Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, J Zico Kolter

NeurIPS 2022 Learning Options via Compression Yiding Jiang, Evan Liu, Benjamin Eysenbach, J. Zico Kolter, Chelsea Finn

ICLR 2022 Neural Deep Equilibrium Solvers Shaojie Bai, Vladlen Koltun, J Zico Kolter

NeurIPS 2022 Path Independent Equilibrium Models Can Better Exploit Test-Time Computation Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B Grosse

NeurIPS 2022 Test Time Adaptation via Conjugate Pseudo-Labels Sachin Goyal, Mingjie Sun, Aditi Raghunathan, J. Zico Kolter

NeurIPS 2022 The Pitfalls of Regularization in Off-Policy TD Learning Gaurav Manek, J. Zico Kolter

NeurIPSW 2022 Uncertainty-Driven Exploration for Generalization in Reinforcement Learning Yiding Jiang, J Zico Kolter, Roberta Raileanu

NeurIPS 2021 $(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations Zhichun Huang, Shaojie Bai, J. Zico Kolter

NeurIPS 2021 Adversarially Robust Learning for Security-Constrained Optimal Power Flow Priya Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry Pileggi, J. Zico Kolter

NeurIPS 2021 Beta-CROWN: Efficient Bound Propagation with Per-Neuron Split Constraints for Neural Network Robustness Verification Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter

ICMLW 2021 Beta-CROWN: Efficient Bound Propagation with Per-Neuron Split Constraints for Neural Network Robustness Verification Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J Zico Kolter

NeurIPS 2021 Boosted CVaR Classification Runtian Zhai, Chen Dan, Arun Suggala, J. Zico Kolter, Pradeep K. Ravikumar

ICMLW 2021 Certified Robustness Against Adversarial Patch Attacks via Randomized Cropping Wan-Yi Lin, Fatemeh Sheikholeslami, Jinghao Shi, Leslie Rice, J Zico Kolter

ICLR 2021 DC3: A Learning Method for Optimization with Hard Constraints Priya L. Donti, David Rolnick, J Zico Kolter

ICMLW 2021 Empirical Robustification of Pre-Trained Classifiers Mohammad Sadegh Norouzzadeh, Wan-Yi Lin, Leonid Boytsov, Leslie Rice, Huan Zhang, Filipe Condessa, J Zico Kolter

ICLR 2021 Enforcing Robust Control Guarantees Within Neural Network Policies Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J Zico Kolter

ICLR 2021 Estimating Lipschitz Constants of Monotone Deep Equilibrium Models Chirag Pabbaraju, Ezra Winston, J Zico Kolter

ICLR 2021 Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability Jeremy Cohen, Simran Kaur, Yuanzhi Li, J Zico Kolter, Ameet Talwalkar

NeurIPS 2021 Joint Inference and Input Optimization in Equilibrium Networks Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter

ICLR 2021 Learning Perturbation Sets for Robust Machine Learning Eric Wong, J Zico Kolter

NeurIPS 2021 Monte Carlo Tree Search with Iteratively Refining State Abstractions Samuel Sokota, Caleb Y Ho, Zaheen Ahmad, J. Zico Kolter

ICLR 2021 Multiplicative Filter Networks Rizal Fathony, Anit Kumar Sahu, Devin Willmott, J Zico Kolter

ICLR 2021 Orthogonalizing Convolutional Layers with the Cayley Transform Asher Trockman, J Zico Kolter

ICLR 2021 Provably Robust Classification of Adversarial Examples with Detection Fatemeh Sheikholeslami, Ali Lotfi, J Zico Kolter

NeurIPS 2021 Robustness Between the Worst and Average Case Leslie Rice, Anna Bair, Huan Zhang, J. Zico Kolter

NeurIPS 2021 Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar

NeurIPS 2020 Community Detection Using Fast Low-Cardinality Semidefinite Programming Po-Wei Wang, J. Zico Kolter

NeurIPS 2020 Deep Archimedean Copulas Chun Kai Ling, Fei Fang, J. Zico Kolter

NeurIPS 2020 Denoised Smoothing: A Provable Defense for Pretrained Classifiers Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter

ICLR 2020 Differentiable Learning of Numerical Rules in Knowledge Graphs Po-Wei Wang, Daria Stepanova, Csaba Domokos, J. Zico Kolter

NeurIPS 2020 Efficient Semidefinite-Programming-Based Inference for Binary and Multi-Class MRFs Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter

ICLR 2020 Fast Is Better than Free: Revisiting Adversarial Training Eric Wong, Leslie Rice, J. Zico Kolter

NeurIPS 2020 Monotone Operator Equilibrium Networks Ezra Winston, J. Zico Kolter

NeurIPS 2020 Multiscale Deep Equilibrium Models Shaojie Bai, Vladlen Koltun, J. Zico Kolter

AISTATS 2019 A Continuous-Time View of Early Stopping for Least Squares Regression Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani

NeurIPS 2019 Adversarial Music: Real World Audio Adversary Against Wake-Word Detection System Juncheng Li, Shuhui Qu, Xinjian Li, Joseph Szurley, J. Zico Kolter, Florian Metze

NeurIPS 2019 Deep Equilibrium Models Shaojie Bai, J. Zico Kolter, Vladlen Koltun

NeurIPS 2019 Differentiable Convex Optimization Layers Akshay Agrawal, Brandon Amos, Shane Barratt, Stephen Boyd, Steven Diamond, J. Zico Kolter

AAAI 2019 Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games Chun Kai Ling, Fei Fang, J. Zico Kolter

NeurIPS 2019 Learning Stable Deep Dynamics Models J. Zico Kolter, Gaurav Manek

AAAI 2019 Low-Rank Semidefinite Programming for the MAX2SAT Problem Po-Wei Wang, J. Zico Kolter

ICLR 2019 Trellis Networks for Sequence Modeling Shaojie Bai, J. Zico Kolter, Vladlen Koltun

NeurIPS 2019 Uniform Convergence May Be Unable to Explain Generalization in Deep Learning Vaishnavh Nagarajan, J. Zico Kolter

NeurIPS 2018 Differentiable MPC for End-to-End Planning and Control Brandon Amos, Ivan Jimenez, Jacob Sacks, Byron Boots, J. Zico Kolter

NeurIPS 2018 End-to-End Differentiable Physics for Learning and Control Filipe de Avila Belbute-Peres, Kevin Smith, Kelsey Allen, Josh Tenenbaum, J. Zico Kolter

NeurIPS 2018 Scaling Provable Adversarial Defenses Eric Wong, Frank Schmidt, Jan Hendrik Metzen, J. Zico Kolter

IJCAI 2018 What Game Are We Playing? End-to-End Learning in Normal and Extensive Form Games Chun Kai Ling, Fei Fang, J. Zico Kolter

ICML 2017 A Semismooth Newton Method for Fast, Generic Convex Programming Alnur Ali, Eric Wong, J. Zico Kolter

NeurIPS 2017 Gradient Descent GAN Optimization Is Locally Stable Vaishnavh Nagarajan, J. Zico Kolter

ICML 2017 Input Convex Neural Networks Brandon Amos, Lei Xu, J. Zico Kolter

ICML 2017 OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos, J. Zico Kolter

AAAI 2017 Polynomial Optimization Methods for Matrix Factorization Po-Wei Wang, Chun-Liang Li, J. Zico Kolter

NeurIPS 2017 Task-Based End-to-End Model Learning in Stochastic Optimization Priya Donti, Brandon Amos, J. Zico Kolter

NeurIPS 2016 The Multiple Quantile Graphical Model Alnur Ali, J. Zico Kolter, Ryan J Tibshirani

AAAI 2015 An SVD and Derivative Kernel Approach to Learning from Geometric Data Eric Wong, J. Zico Kolter

UAI 2015 Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd

AAAI 2014 Contextually Supervised Source Separation with Application to Energy Disaggregation Matt Wytock, J. Zico Kolter

AISTATS 2012 Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation J. Zico Kolter, Tommi Jaakkola

AAAI 2011 A Large-Scale Study on Predicting and Contextualizing Building Energy Usage J. Zico Kolter, Joseph Ferreira Jr.

ICML 2009 Near-Bayesian Exploration in Polynomial Time J. Zico Kolter, Andrew Y. Ng

ICML 2009 Regularization and Feature Selection in Least-Squares Temporal Difference Learning J. Zico Kolter, Andrew Y. Ng

ICML 2008 Space-Indexed Dynamic Programming: Learning to Follow Trajectories J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, Charles DuHadway

JMLR 2007 Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts J. Zico Kolter, Marcus A. Maloof

JMLR 2006 Learning to Detect and Classify Malicious Executables in the Wild J. Zico Kolter, Marcus A. Maloof