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Paul Mineiro

20 papers · 2013–2024 · 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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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (39) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (90)

Venues

ICML (11) NeurIPS (8) ICLR (1)

Top co-authors

John Langford (7) Nikos Karampatziakis (6) Mengxiao Zhang (3) Haipeng Luo (3) Tengyang Xie (3) Yuheng Zhang (3) Yinglun Zhu (3) Nan Jiang (2) Akanksha Saran (2) Ida Momennejad (2)

Research topics

Machine Learning (17) Optimization & Theory (11) Learning Types (10) Mathematics & Optimization (8) Artificial Intelligence (7) Optimization (6) Application Areas (5) Core AI (5) Core Methods (3) Reinforcement Learning (2) Learning Paradigms (2) Mathematics (2) Methods (2)

Keywords

contextual bandit (7) regret bound (4) online learning (4) policy optimization (3) off-policy evaluation (2) sample complexity (2) logarithmic time (2) continuous action space (2) recommender system (2) feedback graph (2) interaction-grounded learning (2) function approximation (2) multi-class classification (2) reward learning (2) latent reward (2) uncertainty quantification (1) hyperparameter optimization (1) feature extraction (1) offline reinforcement learning (1) active learning (1)

Papers

Active, anytime-valid risk controlling prediction sets NeurIPS 2024 Aligning LLM Agents by Learning Latent Preference from User Edits NeurIPS 2024 Efficient Contextual Bandits with Uninformed Feedback Graphs ICML 2024 Provably Efficient Interactive-Grounded Learning with Personalized Reward NeurIPS 2024 Infinite Action Contextual Bandits with Reusable Data Exhaust ICML 2023 Personalized Reward Learning with Interaction-Grounded Learning (IGL) ICLR 2023 Practical Contextual Bandits with Feedback Graphs NeurIPS 2023 Time-uniform confidence bands for the CDF under nonstationarity NeurIPS 2023 Contextual Bandits with Large Action Spaces: Made Practical ICML 2022 Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces ICML 2022 Interaction-Grounded Learning with Action-Inclusive Feedback NeurIPS 2022 Bellman-consistent Pessimism for Offline Reinforcement Learning NeurIPS 2021 ChaCha for Online AutoML ICML 2021 Interaction-Grounded Learning ICML 2021 Off-Policy Confidence Sequences ICML 2021 Empirical Likelihood for Contextual Bandits NeurIPS 2020 Contextual Memory Trees ICML 2019 Logarithmic Time One-Against-Some ICML 2017 Discriminative Features via Generalized Eigenvectors ICML 2014 Loss-Proportional Subsampling for Subsequent ERM ICML 2013