J. Zico Kolter

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 232

Top Venues

CoRR

NeurIPS

ICML

ICLR

Publications

Zhili Feng, Michal Moshkovitz, Dotan Di Castro, J. Zico Kolter
An Axiomatic Approach to Model-Agnostic Concept Explanations. CoRR (2024)
Zhengyang Geng, Ashwini Pokle, J. Zico Kolter
One-Step Diffusion Distillation via Deep Equilibrium Models. CoRR (2024)
Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary C. Lipton, J. Zico Kolter
TOFU: A Task of Fictitious Unlearning for LLMs. CoRR (2024)
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Neural Functional Transformers. NeurIPS (2023)
Melrose Roderick, Gaurav Manek, Felix Berkenkamp, J. Zico Kolter
Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning. CoRR (2023)
Asher Trockman, J. Zico Kolter
Patches Are All You Need? Trans. Mach. Learn. Res. 2023 (2023)
Yiding Jiang, J. Zico Kolter, Roberta Raileanu
On the Importance of Exploration for Generalization in Reinforcement Learning. CoRR (2023)
Swaminathan Gurumurthy, Zachary Manchester, J. Zico Kolter
Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning. L4DC (2023)
Andy Zou, Zifan Wang, J. Zico Kolter, Matt Fredrikson
Universal and Transferable Adversarial Attacks on Aligned Language Models. CoRR (2023)
Swaminathan Gurumurthy, J. Zico Kolter, Zachary Manchester
Deep Off-Policy Iterative Learning Control. L4DC (2023)
Zhili Feng, Ezra Winston, J. Zico Kolter
Monotone deep Boltzmann machines. Trans. Mach. Learn. Res. 2023 (2023)
Nicholas Carlini, Florian Tramèr, Krishnamurthy (Dj) Dvijotham, Leslie Rice, Mingjie Sun, J. Zico Kolter
(Certified!!) Adversarial Robustness for Free! ICLR (2023)
Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
Deep Equilibrium Based Neural Operators for Steady-State PDEs. CoRR (2023)
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
Manifold Preserving Guided Diffusion. CoRR (2023)
Asher Trockman, Devin Willmott, J. Zico Kolter
Understanding the Covariance Structure of Convolutional Filters. ICLR (2023)
Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. ICML (2023)
Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar
Learning with Explanation Constraints. NeurIPS (2023)
Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar
Learning with Explanation Constraints. CoRR (2023)
Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J. Zico Kolter, Chiyuan Zhang
Can Neural Network Memorization Be Localized? ICML (2023)
Mukul Bhutani, J. Zico Kolter
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport. CoRR (2023)
Chun Kai Ling, J. Zico Kolter, Fei Fang
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. AAAI (2023)
Zhili Feng, Anna Bair, J. Zico Kolter
Leveraging Multiple Descriptive Features for Robust Few-shot Image Learning. CoRR (2023)
Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
Deep Equilibrium Based Neural Operators for Steady-State PDEs. NeurIPS (2023)
Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Nicolaus Foerster, Martin Strohmeier
Perfectly Secure Steganography Using Minimum Entropy Coupling. ICLR (2023)
Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
The Update Equivalence Framework for Decision-Time Planning. CoRR (2023)
Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Permutation Equivariant Neural Functionals. CoRR (2023)
Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. ICLR (2023)
Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. CoRR (2023)
Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks
Representation Engineering: A Top-Down Approach to AI Transparency. CoRR (2023)
Zhengyang Geng, J. Zico Kolter
TorchDEQ: A Library for Deep Equilibrium Models. CoRR (2023)
Mingjie Sun, Zhuang Liu, Anna Bair, J. Zico Kolter
A Simple and Effective Pruning Approach for Large Language Models. CoRR (2023)
Zhili Feng, J. Zico Kolter
On the Neural Tangent Kernel of Equilibrium Models. CoRR (2023)
Yiding Jiang, J. Zico Kolter, Roberta Raileanu
On the Importance of Exploration for Generalization in Reinforcement Learning. NeurIPS (2023)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar
Understanding Why Generalized Reweighting Does Not Improve Over ERM. ICLR (2023)
Asher Trockman, J. Zico Kolter
Mimetic Initialization of Self-Attention Layers. CoRR (2023)
Zhili Feng, Ezra Winston, J. Zico Kolter
Monotone deep Boltzmann machines. CoRR (2023)
Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter
Understanding prompt engineering may not require rethinking generalization. CoRR (2023)
Asher Trockman, J. Zico Kolter
Mimetic Initialization of Self-Attention Layers. ICML (2023)
Hariharan Manikandan, Yiding Jiang, J. Zico Kolter
Language Models are Weak Learners. NeurIPS (2023)
Filipe de Avila Belbute-Peres, J. Zico Kolter
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth. ICLR (2023)
Pratyush Maini, Michael C. Mozer, Hanie Sedghi, Zachary C. Lipton, J. Zico Kolter, Chiyuan Zhang
Can Neural Network Memorization Be Localized? CoRR (2023)
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Neural Functional Transformers. CoRR (2023)
Yiding Jiang, Christina Baek, J. Zico Kolter
On the Joint Interaction of Models, Data, and Features. CoRR (2023)
Pratyush Maini, Sachin Goyal, Zachary C. Lipton, J. Zico Kolter, Aditi Raghunathan
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. CoRR (2023)
Yutong He, Ruslan Salakhutdinov, J. Zico Kolter
Localized Text-to-Image Generation for Free via Cross Attention Control. CoRR (2023)
Dylan Sam, J. Zico Kolter
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. AAAI (2023)
Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Permutation Equivariant Neural Functionals. NeurIPS (2023)
Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. CoRR (2023)
Hariharan Manikandan, Yiding Jiang, J. Zico Kolter
Language models are weak learners. CoRR (2023)
Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. EMNLP (2023)
Zhengyang Geng, Ashwini Pokle, J. Zico Kolter
One-Step Diffusion Distillation via Deep Equilibrium Models. NeurIPS (2023)
Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang
Provably Bounding Neural Network Preimages. NeurIPS (2023)
Ashwini Pokle, Zhengyang Geng, J. Zico Kolter
Deep Equilibrium Approaches to Diffusion Models. NeurIPS (2022)
Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter
Deep Equilibrium Optical Flow Estimation. CVPR (2022)
Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. CoRR (2022)
Samuel Sokota, Christian A. Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster
Communicating via Markov Decision Processes. ICML (2022)
Sachin Goyal, Mingjie Sun, Aditi Raghunathan, J. Zico Kolter
Test Time Adaptation via Conjugate Pseudo-labels. NeurIPS (2022)
Colin Wei, J. Zico Kolter
Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation. ICLR (2022)
Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar
Understanding Why Generalized Reweighting Does Not Improve Over ERM. CoRR (2022)
Chun Kai Ling, J. Zico Kolter, Fei Fang
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. CoRR (2022)
Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, J. Zico Kolter
Defending Multimodal Fusion Models against Single-Source Adversaries. CoRR (2022)
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter
Characterizing Datapoints via Second-Split Forgetting. NeurIPS (2022)
Gaurav Manek, J. Zico Kolter
The Pitfalls of Regularization in Off-Policy TD Learning. NeurIPS (2022)
Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. CoRR (2022)
Nicholas Carlini, Florian Tramèr, Krishnamurthy Dvijotham, J. Zico Kolter
(Certified!!) Adversarial Robustness for Free! CoRR (2022)
Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown
A Fine-Tuning Approach to Belief State Modeling. ICLR (2022)
Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter
Assessing Generalization of SGD via Disagreement. ICLR (2022)
Asher Trockman, Devin Willmott, J. Zico Kolter
Understanding the Covariance Structure of Convolutional Filters. CoRR (2022)
Filipe de Avila Belbute-Peres, J. Zico Kolter
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth. CoRR (2022)
Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. CoRR (2022)
Asher Trockman, J. Zico Kolter
Patches Are All You Need? CoRR (2022)
Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. CoRR (2022)
Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks. ICML (2022)
Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. NeurIPS (2022)
Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B. Grosse
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. NeurIPS (2022)
Christina Baek, Yiding Jiang, Aditi Raghunathan, J. Zico Kolter
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift. NeurIPS (2022)
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter
Characterizing Datapoints via Second-Split Forgetting. CoRR (2022)
Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. NeurIPS (2022)
Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter
Deep Equilibrium Optical Flow Estimation. CoRR (2022)
Shaojie Bai, Vladlen Koltun, J. Zico Kolter
Neural Deep Equilibrium Solvers. ICLR (2022)
Dylan Sam, J. Zico Kolter
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. CoRR (2022)
Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, J. Zico Kolter, Chelsea Finn
Learning Options via Compression. NeurIPS (2022)
Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob N. Foerster, Martin Strohmeier
Perfectly Secure Steganography Using Minimum Entropy Coupling. CoRR (2022)
Taylor A. Howell, Simon Le Cleac'h, J. Zico Kolter, Mac Schwager, Zachary Manchester
Dojo: A Differentiable Simulator for Robotics. CoRR (2022)
Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter
Joint inference and input optimization in equilibrium networks. NeurIPS (2021)
Rizal Fathony, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter
Multiplicative Filter Networks. ICLR (2021)
Samuel Sokota, Caleb Ho, Zaheen Farraz Ahmad, J. Zico Kolter
Monte Carlo Tree Search With Iteratively Refining State Abstractions. NeurIPS (2021)
Eric Wong, J. Zico Kolter
Learning perturbation sets for robust machine learning. ICLR (2021)
Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter
Adversarially robust learning for security-constrained optimal power flow. NeurIPS (2021)
Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter
Enforcing robust control guarantees within neural network policies. ICLR (2021)
Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Bergés
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. e-Energy (2021)
Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, J. Zico Kolter
Defending Multimodal Fusion Models Against Single-Source Adversaries. CVPR (2021)
Jeremy M. Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability. CoRR (2021)
Shaojie Bai, Vladlen Koltun, J. Zico Kolter
Stabilizing Equilibrium Models by Jacobian Regularization. ICML (2021)
Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter
Provably Safe PAC-MDP Exploration Using Analogies. AISTATS (2021)
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Sivaraman Balakrishnan, Zachary C. Lipton, Ruslan Salakhutdinov, Pradeep Ravikumar
On Proximal Policy Optimization's Heavy-tailed Gradients. CoRR (2021)
Zhichun Huang, Shaojie Bai, J. Zico Kolter
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations. NeurIPS (2021)
Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter
Adversarially Robust Learning for Security-Constrained Optimal Power Flow. CoRR (2021)
Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami, Filipe Condessa, J. Zico Kolter
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries. CoRR (2021)
Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter
Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes. KDD (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

J. Zico Kolter