| 2025 | AISTATS | Theory of Agreement-on-the-Line in Linear Models and Gaussian Data. | Christina Baek, Aditi Raghunathan, J. Zico Kolter |
| 2025 | ICLR | Understanding Optimization in Deep Learning with Central Flows. | Jeremy Cohen, Alex Damian, Ameet Talwalkar, J. Zico Kolter, Jason D. Lee |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Consistency Models Made Easy. | Zhengyang Geng, Ashwini Pokle, Weijian Luo, Justin Lin, J. Zico Kolter |
| 2025 | ICLR | Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance. | Sachin Goyal, Christina Baek, J. Zico Kolter, Aditi Raghunathan |
| 2025 | ICLR | Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws. | Yiding Jiang, Allan Zhou, Zhili Feng, Sadhika Malladi, J. Zico Kolter |
| 2025 | ICLR | Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters. | Kevin Y. Li, Sachin Goyal, Joo D. Semedo, J. Zico Kolter |
| 2025 | ICML | 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 |
| 2025 | ICML | Idiosyncrasies in Large Language Models. | Mingjie Sun, Yida Yin, Zhiqiu Xu, J. Zico Kolter, Zhuang Liu |
| 2025 | ICML | Training a Generally Curious Agent. | Fahim Tajwar, Yiding Jiang, Abitha Thankaraj, Sumaita Sadia Rahman, J. Zico Kolter, Jeff Schneider, Russ Salakhutdinov |
| 2025 | ICML | Contextures: Representations from Contexts. | Runtian Zhai, Kai Yang, Burak Varici, Che-Ping Tsai, J. Zico Kolter, Pradeep Kumar Ravikumar |
| 2024 | CVPR | Scaling Laws for Data Filtering - Data Curation Cannot be Compute Agnostic. | Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter |
| 2024 | ICLR | Understanding prompt engineering may not require rethinking generalization. | Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter |
| 2024 | ICLR | Why is SAM Robust to Label Noise? | Christina Baek, J. Zico Kolter, Aditi Raghunathan |
| 2024 | ICLR | 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 |
| 2024 | ICLR | On the Joint Interaction of Models, Data, and Features. | Yiding Jiang, Christina Baek, J. Zico Kolter |
| 2024 | ICLR | T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. | Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J. Zico Kolter, Aditi Raghunathan |
| 2024 | ICLR | 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 |
| 2024 | ICLR | A Simple and Effective Pruning Approach for Large Language Models. | Mingjie Sun, Zhuang Liu, Anna Bair, J. Zico Kolter |
| 2024 | ICLR | Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression. | Runtian Zhai, Bingbin Liu, Andrej Risteski, J. Zico Kolter, Pradeep Kumar Ravikumar |
| 2024 | UAI | Computing Low-Entropy Couplings for Large-Support Distributions. | Samuel Sokota, Dylan Sam, Christian Schrder de Witt, Spencer Compton, Jakob N. Foerster, J. Zico Kolter |
| 2023 | AAAI | Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. | Chun Kai Ling, J. Zico Kolter, Fei Fang |
| 2023 | AAAI | Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. | Dylan Sam, J. Zico Kolter |
| 2023 | EMNLP | Model-tuning Via Prompts Makes NLP Models Adversarially Robust. | Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi |
| 2023 | ICLR | Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth. | Filipe de Avila Belbute-Peres, J. Zico Kolter |
| 2023 | ICLR | (Certified!!) Adversarial Robustness for Free! | Nicholas Carlini, Florian Tramr, Krishnamurthy (Dj) Dvijotham, Leslie Rice, Mingjie Sun, J. Zico Kolter |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Understanding the Covariance Structure of Convolutional Filters. | Asher Trockman, Devin Willmott, J. Zico Kolter |
| 2023 | ICLR | Perfectly Secure Steganography Using Minimum Entropy Coupling. | Christian Schrder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Nicolaus Foerster, Martin Strohmeier |
| 2023 | ICLR | Understanding Why Generalized Reweighting Does Not Improve Over ERM. | Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar |
| 2023 | ICML | Can Neural Network Memorization Be Localized? | Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J. Zico Kolter, Chiyuan Zhang |
| 2023 | ICML | 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 |
| 2023 | ICML | Mimetic Initialization of Self-Attention Layers. | Asher Trockman, J. Zico Kolter |
| 2022 | CVPR | Deep Equilibrium Optical Flow Estimation. | Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter |
| 2022 | ICLR | Neural Deep Equilibrium Solvers. | Shaojie Bai, Vladlen Koltun, J. Zico Kolter |
| 2022 | ICLR | Assessing Generalization of SGD via Disagreement. | Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter |
| 2022 | ICLR | A Fine-Tuning Approach to Belief State Modeling. | Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown |
| 2022 | ICLR | Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation. | Colin Wei, J. Zico Kolter |
| 2022 | ICML | Communicating via Markov Decision Processes. | Samuel Sokota, Christian A. Schrder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster |
| 2022 | ICML | A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks. | Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter |
| 2021 | AISTATS | Provably Safe PAC-MDP Exploration Using Analogies. | Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter |
| 2021 | CVPR | Defending Multimodal Fusion Models Against Single-Source Adversaries. | Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, J. Zico Kolter |
| 2021 | ICLR | Learning perturbation sets for robust machine learning. | Eric Wong, J. Zico Kolter |
| 2021 | ICLR | Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability. | Jeremy Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar |
| 2021 | ICLR | Enforcing robust control guarantees within neural network policies. | Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter |
| 2021 | ICLR | DC3: A learning method for optimization with hard constraints. | Priya L. Donti, David Rolnick, J. Zico Kolter |
| 2021 | ICLR | Multiplicative Filter Networks. | Rizal Fathony, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter |
| 2021 | ICLR | Estimating Lipschitz constants of monotone deep equilibrium models. | Chirag Pabbaraju, Ezra Winston, J. Zico Kolter |
| 2021 | ICLR | Provably robust classification of adversarial examples with detection. | Fatemeh Sheikholeslami, Ali Lotfi, J. Zico Kolter |
| 2021 | ICLR | Orthogonalizing Convolutional Layers with the Cayley Transform. | Asher Trockman, J. Zico Kolter |
| 2021 | ICML | Stabilizing Equilibrium Models by Jacobian Regularization. | Shaojie Bai, Vladlen Koltun, J. Zico Kolter |
| 2021 | ICML | RATT: Leveraging Unlabeled Data to Guarantee Generalization. | Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton |
| 2021 | ICML | On Proximal Policy Optimization's Heavy-tailed Gradients. | Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary C. Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar |
| 2021 | ICML | DORO: Distributional and Outlier Robust Optimization. | Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar |
| 2021 | KDD | Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes. | Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter |
| 2020 | AISTATS | AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning. | Rizal Fathony, J. Zico Kolter |
| 2020 | ICLR | A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. | Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, Andrs Gyrgy, Kai Xiao, Sven Gowal, Pushmeet Kohli |
| 2020 | ICLR | Differentiable learning of numerical rules in knowledge graphs. | Po-Wei Wang, Daria Stepanova, Csaba Domokos, J. Zico Kolter |
| 2020 | ICLR | Fast is better than free: Revisiting adversarial training. | Eric Wong, Leslie Rice, J. Zico Kolter |
| 2020 | ICML | Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction. | Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter |
| 2020 | ICML | Adversarial Robustness Against the Union of Multiple Perturbation Models. | Pratyush Maini, Eric Wong, J. Zico Kolter |
| 2020 | ICML | Overfitting in adversarially robust deep learning. | Leslie Rice, Eric Wong, J. Zico Kolter |
| 2020 | ICML | Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. | Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter |
| 2019 | AAAI | Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. | Chun Kai Ling, Fei Fang, J. Zico Kolter |
| 2019 | AAAI | Low-Rank Semidefinite Programming for the MAX2SAT Problem. | Po-Wei Wang, J. Zico Kolter |
| 2019 | ACL | Multimodal Transformer for Unaligned Multimodal Language Sequences. | Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2019 | AISTATS | A Continuous-Time View of Early Stopping for Least Squares Regression. | Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani |
| 2019 | ICASSP | Neural Variational Identification and Filtering for Stochastic Non-linear Dynamical Systems with Application to Non-intrusive Load Monitoring. | Henning Lange, Mario Bergs, J. Zico Kolter |
| 2019 | ICLR | Trellis Networks for Sequence Modeling. | Shaojie Bai, J. Zico Kolter, Vladlen Koltun |
| 2019 | ICLR | Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience. | Vaishnavh Nagarajan, J. Zico Kolter |
| 2019 | ICML | Certified Adversarial Robustness via Randomized Smoothing. | Jeremy Cohen, Elan Rosenfeld, J. Zico Kolter |
| 2019 | ICML | Adversarial camera stickers: A physical camera-based attack on deep learning systems. | Juncheng Li, Frank R. Schmidt, J. Zico Kolter |
| 2019 | ICML | SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. | Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter |
| 2019 | ICML | Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. | Eric Wong, Frank R. Schmidt, J. Zico Kolter |
| 2018 | ICLR | Convolutional Sequence Modeling Revisited. | Shaojie Bai, J. Zico Kolter, Vladlen Koltun |
| 2018 | ICML | Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope. | Eric Wong, J. Zico Kolter |
| 2018 | IJCAI | What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games. | Chun Kai Ling, Fei Fang, J. Zico Kolter |
| 2018 | SIGIR | Realtime Query Completion via Deep Language Models. | Po-Wei Wang, Huan Zhang, Vijai Mohan, Inderjit S. Dhillon, J. Zico Kolter |
| 2017 | AAAI | Polynomial Optimization Methods for Matrix Factorization. | Po-Wei Wang, Chun-Liang Li, J. Zico Kolter |
| 2017 | ICML | A Semismooth Newton Method for Fast, Generic Convex Programming. | Alnur Ali, Eric Wong, J. Zico Kolter |
| 2017 | ICML | OptNet: Differentiable Optimization as a Layer in Neural Networks. | Brandon Amos, J. Zico Kolter |
| 2017 | ICML | Input Convex Neural Networks. | Brandon Amos, Lei Xu, J. Zico Kolter |
| 2016 | ICML | Epigraph projections for fast general convex programming. | Po-Wei Wang, Matt Wytock, J. Zico Kolter |
| 2015 | AAAI | An Additive Autoregressive Hidden Markov Model for Energy Disaggregation. | Kirstin Early, J. Zico Kolter |
| 2015 | AAAI | An SVD and Derivative Kernel Approach to Learning from Geometric Data. | Eric Wong, J. Zico Kolter |
| 2015 | UAI | Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization. | Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd |
| 2014 | AAAI | Contextually Supervised Source Separation with Application to Energy Disaggregation. | Matt Wytock, J. Zico Kolter |
| 2013 | ICML | Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting. | Matt Wytock, J. Zico Kolter |
| 2011 | AAAI | A Large-Scale Study on Predicting and Contextualizing Building Energy Usage. | J. Zico Kolter, Joseph Ferreira Jr. |
| 2010 | ICRA | A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving. | J. Zico Kolter, Christian Plagemann, David T. Jackson, Andrew Y. Ng, Sebastian Thrun |
| 2009 | ICML | Near-Bayesian exploration in polynomial time. | J. Zico Kolter, Andrew Y. Ng |
| 2009 | ICML | Regularization and feature selection in least-squares temporal difference learning. | J. Zico Kolter, Andrew Y. Ng |
| 2009 | ICRA | Stereo vision and terrain modeling for quadruped robots. | J. Zico Kolter, Youngjun Kim, Andrew Y. Ng |
| 2009 | ICRA | Task-space trajectories via cubic spline optimization. | J. Zico Kolter, Andrew Y. Ng |
| 2008 | ICML | Space-indexed dynamic programming: learning to follow trajectories. | J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, Charles DuHadway |
| 2008 | ICRA | A control architecture for quadruped locomotion over rough terrain. | J. Zico Kolter, Mike P. Rodgers, Andrew Y. Ng |