tomyimkc (Yim)

Reproduction: A Direct Approach for Handling Contextual Bandits with Latent State Dynamics

🎯

Explore code logs, traces, and workspace in a web UI

Reproduction: Refined Analysis of Entropy-Regularized Actor-Critic

🎯

Explore code, traces, and workspace in a research logbook

Reproduction: Optimal structure learning and conditional independence testing

🎯

Track experiment logs, view traces, and manage workspace

Reproduction: Flat Minima and Generalization: Insights from Stochastic Convex Optimization

🎯

Explore project logs, traces, and workspace

Reproduction: Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation

🎯

Explore code logs and traces in an interactive logbook

Reproduction: Length Generalization Bounds for Transformers

🎯

Explore and manage project logs and traces

Reproduction: Harmful Overfitting in Sobolev Spaces

🎯

Explore project logs, traces, and workspace in an interactive UI

Reproduction: Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets

🎯

Browse code logs, traces, and workspace in an interactive logbook

Reproduction: When More Data Doesn't Help: Limits of Adaptation in Multitask Learning

🎯

Explore project logs and traces in an interactive logbook

Reproduction: Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning

🎯

Explore code, traces, and workspace in a logbook

Reproduction: Lower Bounds for Frank-Wolfe on Strongly Convex Sets

🎯

Explore project logs, code, and traces in an interactive web UI

Reproduction: Multi-Agent Reinforcement Learning with Submodular Reward

🎯

Explore RL experiment logs and traces in an interactive workspace

Reproduction: Next-Token Prediction and Regret Minimization

🎯

Explore code logs, traces, and workspace with AI collaboration

Reproduction: On the Convergence Rate of LoRA Gradient Descent

🎯

Explore experiment logs and traces

Reproduction: Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs

🎯

Explore code, traces, and workspace in an interactive logbook

Reproduction: Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator

🎯

Explore and manage research logs and code traces

Reproduction: Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs

🎯

Explore code logs, traces, and workspace in a web UI

Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks

🎯

Explore project logs, code, and traces with AI collaboration

Reproduction: Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence

🎯

Explore project code, traces, and workspace in an interactive logbook

Reproduction: Optimal Rates for Feasible Payoff Set Estimation in Games

🎯

Explore experiment logs and code with collaborative agent

Reproduction: Efficiently Learning Drifting Halfspaces with Massart Noise

🎯

View and explore experiment logs, traces, and workspace

Reproduction: Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation

🎯

Explore code logs, traces, and workspace in a collaborative UI

Reproduction: Stochastic Linear Bandits with Parameter Noise

🎯

Explore experiment logs, code, and traces in an interactive logbook

Reproduction: Minimax-Optimal Policy Regret in Partially Observable Markov Games

🎯

Explore experiment logs and collaborate with an AI agent

Yim PRO

AI & ML interests

Organizations

tomyimkc 's Spaces 190

Reproduction: A Direct Approach for Handling Contextual Bandits with Latent State Dynamics

Reproduction: Refined Analysis of Entropy-Regularized Actor-Critic

Reproduction: Optimal structure learning and conditional independence testing

Reproduction: Flat Minima and Generalization: Insights from Stochastic Convex Optimization

Reproduction: Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation

Reproduction: Length Generalization Bounds for Transformers

Reproduction: Harmful Overfitting in Sobolev Spaces

Reproduction: Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets

Reproduction: When More Data Doesn't Help: Limits of Adaptation in Multitask Learning

Reproduction: Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning

Reproduction: Lower Bounds for Frank-Wolfe on Strongly Convex Sets

Reproduction: Multi-Agent Reinforcement Learning with Submodular Reward

Reproduction: Next-Token Prediction and Regret Minimization

Reproduction: On the Convergence Rate of LoRA Gradient Descent

Reproduction: Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs

Reproduction: Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator

Reproduction: Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs

Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks

Reproduction: Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence

Reproduction: Optimal Rates for Feasible Payoff Set Estimation in Games

Reproduction: Efficiently Learning Drifting Halfspaces with Massart Noise

Reproduction: Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation

Reproduction: Stochastic Linear Bandits with Parameter Noise

Reproduction: Minimax-Optimal Policy Regret in Partially Observable Markov Games

Yim PRO

AI & ML interests

Organizations

tomyimkc 's Spaces 190 Sort: Recently updated

Reproduction: A Direct Approach for Handling Contextual Bandits with Latent State Dynamics

Reproduction: Refined Analysis of Entropy-Regularized Actor-Critic

Reproduction: Optimal structure learning and conditional independence testing

Reproduction: Flat Minima and Generalization: Insights from Stochastic Convex Optimization

Reproduction: Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation

Reproduction: Length Generalization Bounds for Transformers

Reproduction: Harmful Overfitting in Sobolev Spaces

Reproduction: Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets

Reproduction: When More Data Doesn't Help: Limits of Adaptation in Multitask Learning

Reproduction: Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning

Reproduction: Lower Bounds for Frank-Wolfe on Strongly Convex Sets

Reproduction: Multi-Agent Reinforcement Learning with Submodular Reward

Reproduction: Next-Token Prediction and Regret Minimization

Reproduction: On the Convergence Rate of LoRA Gradient Descent

Reproduction: Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs

Reproduction: Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator

Reproduction: Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs

Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks

Reproduction: Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence

Reproduction: Optimal Rates for Feasible Payoff Set Estimation in Games

Reproduction: Efficiently Learning Drifting Halfspaces with Massart Noise

Reproduction: Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation

Reproduction: Stochastic Linear Bandits with Parameter Noise

Reproduction: Minimax-Optimal Policy Regret in Partially Observable Markov Games

tomyimkc 's Spaces 190