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Gene Li

7 papers · 2022–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

NeurIPS (4) COLT (2) ALT (1)

Top co-authors

Nati Srebro (4) Ayush Sekhari (2) Avrim Blum (1) Adel Javanmard (1) Alexander Rakhlin (1) Pritish Kamath (1) Aadirupa Saha (1) Naren Sarayu Manoj (1) Zhaoran Wang (1) Akshay Krishnamurthy (1)

Research topics

Machine Learning (6) Optimization & Theory (6) Reinforcement Learning (4) Learning Types (4) Methods (4) Artificial Intelligence (2) Mathematics & Optimization (2) Optimization (2) Core AI (1) Core Methods (1) Learning Paradigms (1)

Keywords

regret bound (3) pac learning (2) sample complexity (2) convex optimization (1) ridge regression (1) exponential family (1) weakly supervised learning (1) policy learning (1) minimax optimization (1) empirical risk minimization (1) vc dimension (1) agnostic learning (1) exploration (1) model-based reinforcement learning (1) online optimization (1) function approximation (1) score matching (1) offline learning (1) minimax optimal (1) online learning (1)

Papers

The Role of Environment Access in Agnostic Reinforcement Learning (Extended Abstract) COLT 2025 Dueling Optimization with a Monotone Adversary ALT 2024 Optimistic Rates for Learning from Label Proportions COLT 2024 When is Agnostic Reinforcement Learning Statistically Tractable? NeurIPS 2023 Exponential Family Model-Based Reinforcement Learning via Score Matching NeurIPS 2022 Pessimism for Offline Linear Contextual Bandits using β„“_p Confidence Sets NeurIPS 2022 Understanding the Eluder Dimension NeurIPS 2022