Running Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks 🎯 Explore project logs, traces, and workspace in a web UI
Running Repro — Doubly Regularized Markov Decision Processes for Robust Reinforcement Learning 🛡 Track RL experiments and sync findings with an AI agent
Running Repro — Dense associative memory on the Bures-Wasserstein space 🎯 Browse and collaborate on experiment logs with an AI agent
Running Reproduction: Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets 🎯 Explore research logs and collaborate with an AI agent
Running Reproduction: Learning U-Statistics with Active Inference 🎯 Track and explore your research experiments in a web logbook
Running Repro - The Geometry of Projection Heads: Conditioning, Invariance, and Collapse 🎯 Browse and collaborate on a research logbook with an AI agent
Running Reproduction: Speedup Patch: Learning a Plug-and-Play Policy to Accelerate Embodied Manipulation 🎯 Explore experiment logs and collaborate with an AI agent
Running Reproduction: Envisioning Beyond the Few: Disentangled Semantics and Primitives for Few-Shot Atypical Layout-to-Image Generation 🎯 Browse experiment logs, code, and traces with an interactive logbook
Running Reproduction: Black-Box Assisted Regression: Phase Transitions and Minimax Optimality 🎯 Browse code logs, traces, and workspace with AI collaboration
Running Reproduction: Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation 🎯 Explore code, traces, and workspace in an interactive logbook
Running Repro - Deep Networks Learn to Parse Uniform-Depth Context-Free Languages from Local Statistics 🎯 Browse experiment logs and collaborate with your agent
Running Repro - Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings 🎯 Track research findings with an interactive logbook
Running Repro — Average Percentile Upper Bound (APUB) for Data-Driven Stochastic Programming 🎯 Explore and share experiment logs with your coding agent
Running Repro — Bandit Social Learning with Exploration Episodes (EpiBSL) 🎯 Explore and collaborate on experiment logbooks online
Running Repro — Human-AI Collaborative Uncertainty Quantification 🎯 Collaborate with an AI agent via a shared logbook
Running Repro - SoftJAX & SoftTorch: Empowering Automatic Differentiation Libraries with Informative Gradients 🎯 Collaborate on a coding logbook with your AI agent
Running Repro — Full-Batch GD Outperforms One-Pass SGD (Single-Index Learning) 🎯 Explore research logs and sync notes with your coding agent
Running Repro - On the Convergence Rate of LoRA Gradient Descent 🎯 Explore research logbook and sync notes with a coding agent
Running Repro - Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets 🎯 View and sync research logs with a coding agent
Running Repro — Optimal Transport under Group Fairness Constraints (FairSinkhorn) 🎯 Explore experiment logs and sync findings with an AI agent
Running Repro — Incentivized Exploration with Stochastic Covariates (RCB) 🎯 Explore and sync experiment logs with an AI coding agent
Running Repro - SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework 🎯 Collaborate on a project logbook with an AI agent
Running Reproduction: CodeTaste: Can LLMs Generate Human-Level Code Refactorings? 🎯 Explore code logs, traces and collaborate with an AI agent