Running Reproduction: Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence 🎯 View and collaborate on a research logbook with an AI agent
Running Reproduction: Floating-Point Networks with Automatic Differentiation Can Represent Almost All Floating-Point Functions and Their Gradients 🎯 Explore research logbooks and collaborate with an AI agent
Running Reproduction: A Tight Theory of Error Feedback Algorithms in Distributed Optimization 🎯 Explore and collaborate on research logbooks with an AI agent
Running Reproduction: Task-Awareness Improves LLM Generations and Uncertainty 🎯 Browse and collaborate on your project logbook online
Running Reproduction: Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variation 🎯 Collaborate on research logbooks with a coding agent
Running Reproduction: Accelerating Regression Tasks with Quantum Algorithms 🎯 View and sync experiment logbook with AI agent
Running Reproduction: Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming 🎯 Organize and view experiment logs in a web‑based logbook
Running Reproduction: Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function 🎯 Explore experiment logs and collaborate with an AI agent
Running Reproduction: Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis 🎯 Explore a research logbook and sync findings with an AI agent
Running Reproduction: The Implicit Bias of Adam and Muon on Smooth Homogeneous Neural Networks 🎯 Explore research logbook and sync with coding agents
Running Reproduction: Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety 🎯 View and collaborate on research logbooks online
Running Reproduction: Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors 🎯 Explore and edit research logbooks with AI collaboration
Running Reproduction: Convergence Analysis of the Lion Optimizer in Centralized and Distributed Settings 🎯 Explore research logbook and sync findings with an AI agent
Running Reproduction: A Stronger Benchmark for Online Bilateral Trade: From Fixed Prices to Distributions 🎯 Explore a research logbook and sync findings with your coding agent
Running Reproduction: The Interplay Between Interpolation and Aggregation in Regression: Optimal Sample Complexity 🎯
Running Reproduction: Any-dimensional invariant universality 🎯 Collaborate on a shared logbook with your coding agent
Running Reproduction: On the Expressive Power of Permutation-Equivariant Weight-Space Networks 🎯 Collaborate on research logbooks with your coding agent
Running Reproduction: On the Power of (Approximate) Reward Models for Inference-Time Scaling: Sequential Monte Carlo and Beyond 🎯 Browse and collaborate on research logbooks with an AI agent
Running Reproduction: Efficiently Learning Drifting Halfspaces with Massart Noise 🎯 Browse research logbook and collaborate with a coding agent
Running Reproduction: Understanding Behavior Cloning with Action Quantization 🎯 Explore experiment logs and collaborate with an AI agent
Running Reproduction: Why Linear Recurrent Memory Works in Partially Observable Reinforcement Learning 🎯 Explore research logbook and sync with AI agent
Running 1 Reproduction: Semantic Robustness Certification for Vision-Language Models 🎯 Explore research logbook and sync with your coding agent
Running Reproduction: Inverting Data Transformations via Diffusion Sampling 🎯 Browse and sync research logbook with an AI agent
Running Reproduction: Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting 🎯 Explore project logbook and collaborate with an AI agent