SaiPavankumar22/repro-variance-reduced-varepsilon-delta-unlearning-using-forget-set-gradients-artifacts 581 kB
SaiPavankumar22/repro-variance-reduced-varepsilon-delta-unlearning-using-forget-set-gradients-bucket 580 kB
SaiPavankumar22/repro-demystifying-llm-as-a-judge-analytically-tractable-model-for-inference-time-scal-artifacts 251 kB
SaiPavankumar22/repro-ski-rental-with-distributional-predictions-of-unknown-quality-artifacts 0 Bytes
Running Reproduction: Calibrated Preference Learning: The Case of Label Ranking 🎯 Explore experiment logs, code, and traces in an interactive UI
Running Reproduction: Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective 🎯 Explore code logs and collaborate with a coding agent
Running Reproduction: Exploration-free Algorithms for Multi-group Mean Estimation 🎯 Explore research logbooks and collaborate with an AI agent
Running Reproduction: Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks 🎯 Explore code, traces, and workspace with an interactive logbook
Running Reproduction: Variance-Reduced $(\varepsilon, \delta)$-Unlearning using Forget Set Gradients 🎯 Collaborate on a research logbook with your coding agent
Running Reproduction: Demystifying LLM-as-a-Judge: Analytically Tractable Model for Inference-Time Scaling 🎯 Explore project logbook and sync with AI agent