Running Repro - Efficient Preference Poisoning Attack on Offline RLHF π― Collaborate with your coding agent via a tokenβefficient logbook
Running Repro - Message Tuning Outshines Graph Prompt Tuning: A Prismatic Space Perspective π― Explore a logbook and collaborate with an AI coding agent
Running Repro - To Grok Grokking: Provable Grokking in Ridge Regression π― Explore and share experiment logs with your coding agent
Running Repro - Analytic Bijections for Smooth and Interpretable Normalizing Flows π― Collaborate with your coding agent using a shared logbook
Running Repro - Impact of Connectivity on Laplacian Representations in Reinforcement Learning π― Explore research logbook and collaborate with your coding agent
Running Repro - Theoretical Challenges in Learning for Branch-and-Cut π― Explore and update a research logbook with AI assistance
Running Repro - PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence π― Explore experiment logs and collaborate with a coding agent
Running Repro - Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment π― Explore a research logbook and collaborate with an AI agent
Running Repro - Discovering Scaling Exponents with Physics-Informed MΓΌntz-SzΓ‘sz Networks π― Explore experiment logs and collaborate with an AI agent
Running Repro - Turning Stale Gradients into Stable Gradients: Coherent Coordinate Descent with Implicit Landscape Smoothing for Lightweight Zeroth-Order Optimization π― Explore experiment logs and collaborate with AI agents
Running Repro - Semi-Supervised Hypothesis Testing by Betting on Predictions π― Explore experiment logs and sync findings with an AI agent
Running Repro - Recursive Binding on a Budget: Subspace Carving in Order-$p$ Tensor Memories π― Explore and collaborate on a research logbook with your coding agent
Running Repro - Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training π― Explore research logbook and sync with AI agent
Running Repro - Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction π― Collaborate on a shared logbook with an AI coding agent
Running Repro - Fast Estimation for Forest Matrix of Signed Graphs π― Track and share forest matrix estimates for signed graphs
Running Repro - Practical and Scalable Hamiltonian Monte Carlo Without the Metropolis Test π― Explore and collaborate on experiment logs with an AI agent
Running Repro - The Role of Target Update Frequencies in Q-Learning π― Collaborate on research logbook with an AI coding agent
Running Repro - Partial Identification under High-Dimensional Potential Outcomes and Confounders via Optimal Transport π― Organize research notes and sync with an AI agent
Running Repro - High-Probability Convergence Guarantees of Decentralized SGD π― Explore experiment logs and collaborate with an AI agent
Running Repro - Learning-Augmented Online Covering Problems π― Collaborate with an AI agent to manage your research logbook
Running Repro - Solving the Offline and Online Min-Max Problem of Non-smooth Submodular-Concave Functions: A Zeroth-Order Approach π― Explore and sync research logbook with your coding agent