Running Reproduction: Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective 🎯 Explore code, traces, and workspace in an interactive logbook
Running Reproduction: Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective 🎯 Explore code, traces, and workspace in an interactive logbook
Running Reproduction: Improved Stochastic Optimization of LogSumExp 🎯 Explore code, traces, and workspace in an interactive logbook
Running Reproduction: Improved Stochastic Optimization of LogSumExp 🎯 Explore code, traces, and workspace in an interactive logbook
Running Reproduction: The Catastrophic Failure of the k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It 🎯 Explore code logs, traces, and workspace in an interactive web logbook
Running Reproduction: The Catastrophic Failure of the k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It 🎯 Explore code logs, traces, and workspace in an interactive web logbook
Running Reproduction: No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference 🎯 Explore and manage project logs, code traces, and workspace
Running Reproduction: No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference 🎯 Explore and manage project logs, code traces, and workspace
Running Reproduction: Conditional Coverage Diagnostics for Conformal Prediction 🎯 Explore code logs, traces, and workspace in a web logbook
Running Reproduction: Conditional Coverage Diagnostics for Conformal Prediction 🎯 Explore code logs, traces, and workspace in a web logbook
Running Reproduction: Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport 🎯 View logs and collaborate with your coding agent
Running Reproduction: Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport 🎯 View logs and collaborate with your coding agent
Running Reproduction: Mirror Descent Under Generalized Smoothness 🎯 Explore code, traces, and workspace in an interactive logbook
Running Reproduction: Mirror Descent Under Generalized Smoothness 🎯 Explore code, traces, and workspace in an interactive logbook