J Zico Kolter

44 papers · 2021–2025 · 5 conferences · across top CS/AI conferences

Achievements

+7 more ↓

🗺️ Taxonomy Completionist (15) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) 🏠 Conference Loyalist (33) ⚡ Prolific Year (13) 💎 Century Club (44) ❓ The Questioner (2) 🔥 Unstoppable (5)

Conferences

ICLR (33) ICML (7) L4DC (2) AISTATS (1) CORL (1)

Top co-authors

YiDing Jiang (5) Christina Baek (5) Samuel Sokota (5) Noam Brown (4) Aditi Raghunathan (4) Mingjie Sun (3) Swaminathan Gurumurthy (3) Zachary Manchester (3) Asher Trockman (3) David J Wu (3)

Keywords

sample efficiency (1) sim-to-real transfer (1) game theory (1) computer vision (1) policy gradient (1) neural network optimization (1) imperfect information (1) nash equilibrium (1) value function (1) continuous control (1) off-policy learning (1) zero-sum game (1) weight initialization (1) proximal policy optimization (1) on-policy learning (1) robotics task (1) model initialization (1) iterative learning control (1) vision task (1) regularized equilibrium (1)

Papers

DEQ-MPC : Deep Equilibrium Model Predictive Control CORL 2025 Theory of Agreement-on-the-Line in Linear Models and Gaussian Data AISTATS 2025 Contextures: Representations from Contexts ICML 2025 Training a Generally Curious Agent ICML 2025 Idiosyncrasies in Large Language Models ICML 2025 Unnatural Languages Are Not Bugs but Features for LLMs ICML 2025 Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws ICLR 2025 Understanding Optimization in Deep Learning with Central Flows ICLR 2025 AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents ICLR 2025 Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters ICLR 2025 Consistency Models Made Easy ICLR 2025 Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance ICLR 2025 Compute-Optimal LLMs Provably Generalize Better with Scale ICLR 2025 A Simple and Effective Pruning Approach for Large Language Models ICLR 2024 Why is SAM Robust to Label Noise? ICLR 2024 On the Joint Interaction of Models, Data, and Features ICLR 2024 Understanding prompt engineering may not require rethinking generalization ICLR 2024 T-MARS: Improving Visual Representations by Circumventing Text Feature Learning ICLR 2024 Manifold Preserving Guided Diffusion ICLR 2024 The Update-Equivalence Framework for Decision-Time Planning ICLR 2024 Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression ICLR 2024 Can Neural Network Memorization Be Localized? ICML 2023 Understanding the Covariance Structure of Convolutional Filters ICLR 2023 Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth ICLR 2023 (Certified!!) Adversarial Robustness for Free! ICLR 2023 A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games ICLR 2023 Perfectly Secure Steganography Using Minimum Entropy Coupling ICLR 2023 Understanding Why Generalized Reweighting Does Not Improve Over ERM ICLR 2023 Mimetic Initialization of Self-Attention Layers ICML 2023 Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning L4DC 2023 Deep Off-Policy Iterative Learning Control L4DC 2023 Abstracting Imperfect Information Away from Two-Player Zero-Sum Games ICML 2023 Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation ICLR 2022 Neural Deep Equilibrium Solvers ICLR 2022 A Fine-Tuning Approach to Belief State Modeling ICLR 2022 Assessing Generalization of SGD via Disagreement ICLR 2022 Learning perturbation sets for robust machine learning ICLR 2021 Estimating Lipschitz constants of monotone deep equilibrium models ICLR 2021 Provably robust classification of adversarial examples with detection ICLR 2021 Multiplicative Filter Networks ICLR 2021 Orthogonalizing Convolutional Layers with the Cayley Transform ICLR 2021 Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability ICLR 2021 Enforcing robust control guarantees within neural network policies ICLR 2021 DC3: A learning method for optimization with hard constraints ICLR 2021