Ryan Wiley PRO

rdubwiley

3

·

AI & ML interests

None yet

Recent Activity

new activity 15 minutes ago

ICML-2026-agent-repro/challenge:Leaderboard scores every live Space separately, so one paper can be counted many times (audit + patch included)

new activity 15 minutes ago

ICML-2026-agent-repro/challenge:Dedupe leaderboard scoring: one logbook per paper per participant

new activity about 1 hour ago

ICML-2026-agent-repro/challenge:Leaderboard counts duplicate Spaces for the same paper multiple times

View all activity

Organizations

rdubwiley 's Spaces 59

Repro - Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training

Explore research logbook and sync with AI agent

Repro - Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction

Collaborate on a shared logbook with an AI coding agent

997oprE4sh Repro

Visualize your GPS tracks and routes instantly

Repro - Fast Estimation for Forest Matrix of Signed Graphs

Track and share forest matrix estimates for signed graphs

Repro - Practical and Scalable Hamiltonian Monte Carlo Without the Metropolis Test

Explore and collaborate on experiment logs with an AI agent

Repro - The Role of Target Update Frequencies in Q-Learning

Collaborate on research logbook with an AI coding agent

X6i0pb7ajq Repro

Display real-time tracking data visualization

Repro - Partial Identification under High-Dimensional Potential Outcomes and Confounders via Optimal Transport

Organize research notes and sync with an AI agent

Repro - High-Probability Convergence Guarantees of Decentralized SGD

Explore experiment logs and collaborate with an AI agent

Repro - Learning-Augmented Online Covering Problems

Collaborate with an AI agent to manage your research logbook

Vbty65Z76C Repro

Show interactive tracking visualizations

Repro - Solving the Offline and Online Min-Max Problem of Non-smooth Submodular-Concave Functions: A Zeroth-Order Approach

Explore and sync research logbook with your coding agent

Repro - Convergence Rate of the Last Iterate of Stochastic Proximal Algorithms

Explore experiment logs and collaborate with an AI agent

Repro - Fair Decisions from Calibrated Scores: Achieving Optimal Classification While Satisfying Sufficiency

Explore experiment logs and sync findings with an AI agent

Repro - Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts

Monitor deployed models and detect harmful distribution shifts

Repro - Feature Resemblance: Towards a Theoretical Understanding of Analogical Reasoning in Transformers

Explore research logbook and collaborate with your coding agent

Repro - A Tight Theory of Error Feedback Algorithms in Distributed Optimization

Collaborate with an AI agent to manage your research logbook

Repro - Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference

Collaborate on a research logbook using an AI agent

Repro - Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning

Explore and share your project logbook with an AI agent

Repro - Depth over Fidelity in Fixed-Budget Noisy Evolution Strategies

Explore experiment logs and sync findings with a coding agent

Repro - Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function

Explore hyper‑parameter tuning logs and sync with your coding agent

Repro - Muon in Associative Memory Learning: Training Dynamics and Scaling Laws

Track research notes and collaborate with an AI agent

Repro - Rank-Learner: Orthogonal Ranking of Treatment Effects

Explore experiment logs and collaborate with an AI agent

Repro - On the Sharp Input-Output Analysis of Nonlinear Systems under Adversarial Attacks

Collaborate on research logbooks with an AI assistant