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ORCIDJ. Zico Kolter
Zico Kolter – Jeremy Z. Kolter
Person information
- affiliation: Carnegie Mellon University, PA, USA
- affiliation (former): MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2023
[c109]Rahul Venkatesh, Eric Wong, Zico Kolter:
Adversarial robustness in discontinuous spaces via alternating sampling & descent. WACV 2023: 4651-4660- [i103]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 abs/2301.09159 (2023) - [i102]Suhas Kotha, Christopher Brix, Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang:
Provably Bounding Neural Network Preimages. CoRR abs/2302.01404 (2023) - [i101]Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Permutation Equivariant Neural Functionals. CoRR abs/2302.14040 (2023) - [i100]Mingjie Sun, Zico Kolter:
Single Image Backdoor Inversion via Robust Smoothed Classifiers. CoRR abs/2303.00215 (2023) - [i99]Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi:
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. CoRR abs/2303.07320 (2023) - [i98]Mukul Bhutani, J. Zico Kolter:
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport. CoRR abs/2303.07675 (2023) - 2022
- [c108]Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter:
Deep Equilibrium Optical Flow Estimation. CVPR 2022: 610-620 - [c107]Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Jürgen Gall, Mehdi Noroozi:
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation. ECCV (35) 2022: 52-68 - [c106]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Neural Deep Equilibrium Solvers. ICLR 2022 - [c105]Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter:
Assessing Generalization of SGD via Disagreement. ICLR 2022 - [c104]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 - [c103]Colin Wei, J. Zico Kolter:
Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation. ICLR 2022 - [c102]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: 20314-20328 - [c101]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: 26591-26604 - [i97]Asher Trockman, J. Zico Kolter:
Patches Are All You Need? CoRR abs/2201.09792 (2022) - [i96]Runtian Zhai
, Chen Dan, J. Zico Kolter, Pradeep Ravikumar:
Understanding Why Generalized Reweighting Does Not Improve Over ERM. CoRR abs/2201.12293 (2022) - [i95]Taylor A. Howell, Simon Le Cleac'h, J. Zico Kolter, Mac Schwager, Zachary Manchester:
Dojo: A Differentiable Simulator for Robotics. CoRR abs/2203.00806 (2022) - [i94]Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter:
Deep Equilibrium Optical Flow Estimation. CoRR abs/2204.08442 (2022) - [i93]Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde:
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. CoRR abs/2205.06154 (2022) - [i92]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 abs/2206.05825 (2022) - [i91]Nicholas Carlini, Florian Tramèr, Krishnamurthy Dvijotham, J. Zico Kolter:
(Certified!!) Adversarial Robustness for Free! CoRR abs/2206.10550 (2022) - [i90]Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, J. Zico Kolter:
Defending Multimodal Fusion Models against Single-Source Adversaries. CoRR abs/2206.12714 (2022) - [i89]Christina Baek, Yiding Jiang, Aditi Raghunathan, Zico Kolter:
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift. CoRR abs/2206.13089 (2022) - [i88]Sachin Goyal, Mingjie Sun, Aditi Raghunathan, Zico Kolter:
Test-Time Adaptation via Conjugate Pseudo-labels. CoRR abs/2207.09640 (2022) - [i87]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 abs/2208.05740 (2022) - [i86]Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Juergen Gall, Mehdi Noroozi:
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation. CoRR abs/2209.00638 (2022) - [i85]Asher Trockman, Devin Willmott, J. Zico Kolter:
Understanding the Covariance Structure of Convolutional Filters. CoRR abs/2210.03651 (2022) - [i84]Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh:
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. CoRR abs/2210.07394 (2022) - [i83]Ashwini Pokle, Zhengyang Geng, Zico Kolter:
Deep Equilibrium Approaches to Diffusion Models. CoRR abs/2210.12867 (2022) - [i82]Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter:
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. CoRR abs/2210.14410 (2022) - [i81]Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob N. Foerster, Martin Strohmeier:
Perfectly Secure Steganography Using Minimum Entropy Coupling. CoRR abs/2210.14889 (2022) - [i80]Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter:
Characterizing Datapoints via Second-Split Forgetting. CoRR abs/2210.15031 (2022) - [i79]Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, Zico Kolter, Roger B. Grosse:
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. CoRR abs/2211.09961 (2022) - [i78]Filipe de Avila Belbute-Peres, J. Zico Kolter:
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth. CoRR abs/2211.14503 (2022) - [i77]Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan:
Finetune like you pretrain: Improved finetuning of zero-shot vision models. CoRR abs/2212.00638 (2022) - [i76]Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, Zico Kolter, Chelsea Finn:
Learning Options via Compression. CoRR abs/2212.04590 (2022) - [i75]Dylan Sam, J. Zico Kolter:
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. CoRR abs/2212.06921 (2022) - [i74]Chun Kai Ling, J. Zico Kolter, Fei Fang:
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. CoRR abs/2212.14431 (2022) - 2021
- [c100]Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter:
Provably Safe PAC-MDP Exploration Using Analogies. AISTATS 2021: 1216-1224 - [c99]Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, J. Zico Kolter:
Defending Multimodal Fusion Models Against Single-Source Adversaries. CVPR 2021: 3340-3349 - [c98]Leonid Boytsov, Zico Kolter:
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits. ECIR (1) 2021: 63-78 - [c97]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: 199-210 - [c96]Joshua Williams, J. Zico Kolter:
A Bayesian Model of Cash Bail Decisions. FAccT 2021: 827-837 - [c95]Eric Wong, J. Zico Kolter:
Learning perturbation sets for robust machine learning. ICLR 2021 - [c94]Jeremy M. Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar:
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability. ICLR 2021 - [c93]Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter:
Enforcing robust control guarantees within neural network policies. ICLR 2021 - [c92]Priya L. Donti, David Rolnick, J. Zico Kolter:
DC3: A learning method for optimization with hard constraints. ICLR 2021 - [c91]Rizal Fathony, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter:
Multiplicative Filter Networks. ICLR 2021 - [c90]Chirag Pabbaraju, Ezra Winston, J. Zico Kolter:
Estimating Lipschitz constants of monotone deep equilibrium models. ICLR 2021 - [c89]Fatemeh Sheikholeslami, Ali Lotfi, J. Zico Kolter:
Provably robust classification of adversarial examples with detection. ICLR 2021 - [c88]Asher Trockman, J. Zico Kolter:
Orthogonalizing Convolutional Layers with the Cayley Transform. ICLR 2021 - [c87]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Stabilizing Equilibrium Models by Jacobian Regularization. ICML 2021: 554-565 - [c86]Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton:
RATT: Leveraging Unlabeled Data to Guarantee Generalization. ICML 2021: 3598-3609 - [c85]Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary C. Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar:
On Proximal Policy Optimization's Heavy-tailed Gradients. ICML 2021: 3610-3619 - [c84]Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar:
DORO: Distributional and Outlier Robust Optimization. ICML 2021: 12345-12355 - [c83]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: 1461-1469 - [c82]Zhichun Huang, Shaojie Bai, J. Zico Kolter:
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations. NeurIPS 2021: 9639-9650 - [c81]Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter:
Joint inference and input optimization in equilibrium networks. NeurIPS 2021: 16818-16832 - [c80]Samuel Sokota, Caleb Ho, Zaheen Farraz Ahmad, J. Zico Kolter:
Monte Carlo Tree Search With Iteratively Refining State Abstractions. NeurIPS 2021: 18698-18709 - [c79]Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar:
Boosted CVaR Classification. NeurIPS 2021: 21860-21871 - [c78]Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar:
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds. NeurIPS 2021: 22745-22757 - [c77]Leslie Rice, Anna Bair, Huan Zhang, J. Zico Kolter:
Robustness between the worst and average case. NeurIPS 2021: 27840-27851 - [c76]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: 28677-28689 - [c75]Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification. NeurIPS 2021: 29909-29921 - [i73]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 abs/2102.00029 (2021) - [i72]Leonid Boytsov, Zico Kolter:
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits. CoRR abs/2102.06815 (2021) - [i71]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 abs/2102.10264 (2021) - [i70]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 abs/2103.00065 (2021) - [i69]Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification. CoRR abs/2103.06624 (2021) - [i68]Asher Trockman, J. Zico Kolter:
Orthogonalizing Convolutional Layers with the Cayley Transform. CoRR abs/2104.07167 (2021) - [i67]Priya L. Donti, David Rolnick, J. Zico Kolter:
DC3: A learning method for optimization with hard constraints. CoRR abs/2104.12225 (2021) - [i66]Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton:
RATT: Leveraging Unlabeled Data to Guarantee Generalization. CoRR abs/2105.00303 (2021) - [i65]Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Berges:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. CoRR abs/2105.08881 (2021) - [i64]Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar:
DORO: Distributional and Outlier Robust Optimization. CoRR abs/2106.06142 (2021) - [i63]Shaoru Chen, Eric Wong, J. Zico Kolter, Mahyar Fazlyab:
DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting. CoRR abs/2106.09117 (2021) - [i62]Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter:
Assessing Generalization of SGD via Disagreement. CoRR abs/2106.13799 (2021) - [i61]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Stabilizing Equilibrium Models by Jacobian Regularization. CoRR abs/2106.14342 (2021) - [i60]Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar:
Boosted CVaR Classification. CoRR abs/2110.13948 (2021) - [i59]Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar:
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds. CoRR abs/2111.01395 (2021) - [i58]Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter:
Adversarially Robust Learning for Security-Constrained Optimal Power Flow. CoRR abs/2111.06961 (2021) - [i57]Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter:
Joint inference and input optimization in equilibrium networks. CoRR abs/2111.13236 (2021) - 2020
- [c74]Rizal Fathony, J. Zico Kolter:
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning. AISTATS 2020: 4130-4140 - [c73]Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli:
A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. ICLR 2020 - [c72]Po-Wei Wang, Daria Stepanova, Csaba Domokos, J. Zico Kolter:
Differentiable learning of numerical rules in knowledge graphs. ICLR 2020 - [c71]Eric Wong, Leslie Rice, J. Zico Kolter:
Fast is better than free: Revisiting adversarial training. ICLR 2020 - [c70]Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter:
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction. ICML 2020: 2402-2411 - [c69]Pratyush Maini, Eric Wong, J. Zico Kolter:
Adversarial Robustness Against the Union of Multiple Perturbation Models. ICML 2020: 6640-6650 - [c68]Leslie Rice, Eric Wong, J. Zico Kolter:
Overfitting in adversarially robust deep learning. ICML 2020: 8093-8104 - [c67]Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter:
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. ICML 2020: 8230-8241 - [c66]Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter:
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. IV 2020: 1753-1758 - [c65]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Multiscale Deep Equilibrium Models. NeurIPS 2020 - [c64]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Deep Archimedean Copulas. NeurIPS 2020 - [c63]Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter:
Efficient semidefinite-programming-based inference for binary and multi-class MRFs. NeurIPS 2020 - [c62]Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Denoised Smoothing: A Provable Defense for Pretrained Classifiers. NeurIPS 2020 - [c61]Po-Wei Wang, J. Zico Kolter:
Community detection using fast low-cardinality semidefinite programming . NeurIPS 2020 - [c60]Ezra Winston, J. Zico Kolter:
Monotone operator equilibrium networks. NeurIPS 2020 - [i56]Eric Wong, Leslie Rice, J. Zico Kolter:
Fast is better than free: Revisiting adversarial training. CoRR abs/2001.03994 (2020) - [i55]Gaurav Manek, J. Zico Kolter:
Learning Stable Deep Dynamics Models. CoRR abs/2001.06116 (2020) - [i54]Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter:
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. CoRR abs/2002.03018 (2020) - [i53]Leslie Rice, Eric Wong, J. Zico Kolter:
Overfitting in adversarially robust deep learning. CoRR abs/2002.11569 (2020) - [i52]Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Black-box Smoothing: A Provable Defense for Pretrained Classifiers. CoRR abs/2003.01908 (2020) - [i51]Filipe Condessa, J. Zico Kolter:
Provably robust deep generative models. CoRR abs/2004.10608 (2020) - [i50]Ezra Winston, J. Zico Kolter:
Monotone operator equilibrium networks. CoRR abs/2006.08591 (2020) - [i49]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Multiscale Deep Equilibrium Models. CoRR abs/2006.08656 (2020) - [i48]Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter:
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. CoRR abs/2007.00147 (2020) - [i47]Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter:
Provably Safe PAC-MDP Exploration Using Analogies. CoRR abs/2007.03574 (2020) - [i46]Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter:
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction. CoRR abs/2007.04439 (2020) - [i45]Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter:
Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes. CoRR abs/2007.07210 (2020) - [i44]Eric Wong, J. Zico Kolter:
Learning perturbation sets for robust machine learning. CoRR abs/2007.08450 (2020) - [i43]Lars A. Bratholm, Will Gerrard, Brandon M. Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Guillaume Huard, Sanghoon Kim, J. Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P. Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H. Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P. Butts, David R. Glowacki, Kaggle participants:
A community-powered search of machine learning strategy space to find NMR property prediction models. CoRR abs/2008.05994 (2020) - [i42]Anit Kumar Sahu, Satya Narayan Shukla, J. Zico Kolter:
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks. CoRR abs/2010.04205 (2020) - [i41]Mingjie Sun, Siddhant Agarwal, J. Zico Kolter:
Poisoned classifiers are not only backdoored, they are fundamentally broken. CoRR abs/2010.09080 (2020) - [i40]Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter:
Enforcing robust control guarantees within neural network policies. CoRR abs/2011.08105 (2020) - [i39]Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter:
Efficient semidefinite-programming-based inference for binary and multi-class MRFs. CoRR abs/2012.02661 (2020) - [i38]Po-Wei Wang, J. Zico Kolter:
Community detection using fast low-cardinality semidefinite programming. CoRR abs/2012.02676 (2020) - [i37]Jonathan Dinu, Jeffrey P. Bigham, J. Zico Kolter:
Challenging common interpretability assumptions in feature attribution explanations. CoRR abs/2012.02748 (2020) - [i36]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Deep Archimedean Copulas. CoRR abs/2012.03137 (2020)
2010 – 2019
- 2019
- [j5]Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman:
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (2019) - [c59]Po-Wei Wang, J. Zico Kolter:
Low-Rank Semidefinite Programming for the MAX2SAT Problem. AAAI 2019: 1641-1649 - [c58]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. AAAI 2019: 6104-6111 - [c57]Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov:
Multimodal Transformer for Unaligned Multimodal Language Sequences. ACL (1) 2019: 6558-6569 - [c56]Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani:
A Continuous-Time View of Early Stopping for Least Squares Regression. AISTATS 2019: 1370-1378 - [c55]Henning Lange, Mario Bergés, J. Zico Kolter:
Neural Variational Identification and Filtering for Stochastic Non-linear Dynamical Systems with Application to Non-intrusive Load Monitoring. ICASSP 2019: 8340-8344 - [c54]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Trellis Networks for Sequence Modeling. ICLR (Poster) 2019 - [c53]Vaishnavh Nagarajan, J. Zico Kolter:
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience. ICLR (Poster) 2019 - [c52]Jeremy M. Cohen, Elan Rosenfeld, J. Zico Kolter:
Certified Adversarial Robustness via Randomized Smoothing. ICML 2019: 1310-1320 - [c51]