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Yinlam Chow

32 papers · 2014–2025 · 7 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.

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+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (48) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (14) 🀝 Dynamic Duo (18) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion (4) 🧭 Keyword Pioneer πŸ“ˆ Trend Setter πŸ”₯ Unstoppable Β· Silver ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (142) 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer

Papers

Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models ICLR 2025 Preference Adaptive and Sequential Text-to-Image Generation ICML 2025 Demystifying Embedding Spaces using Large Language Models ICLR 2024 DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning NeurIPS 2024 Embedding-Aligned Language Models NeurIPS 2024 A Mixture-of-Expert Approach to RL-based Dialogue Management ICLR 2023 Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management NeurIPS 2023 Efficient Risk-Averse Reinforcement Learning NeurIPS 2022 Control-Aware Representations for Model-based Reinforcement Learning ICLR 2021 Non-Stationary Off-Policy Optimization AISTATS 2021 Safe Reinforcement Learning with Natural Language Constraints NeurIPS 2021 Variational Model-based Policy Optimization IJCAI 2021 BRPO: Batch Residual Policy Optimization IJCAI 2020 CAQL: Continuous Action Q-Learning ICLR 2020 CoinDICE: Off-Policy Confidence Interval Estimation NeurIPS 2020 Latent Bandits Revisited NeurIPS 2020 Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control ICLR 2020 Predictive Coding for Locally-Linear Control ICML 2020 Safe Policy Learning for Continuous Control CoRL 2020 DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NeurIPS 2019 Risk-Sensitive Generative Adversarial Imitation Learning AISTATS 2019 A Block Coordinate Ascent Algorithm for Mean-Variance Optimization NeurIPS 2018 A Lyapunov-based Approach to Safe Reinforcement Learning NeurIPS 2018 Imitation Learning from Visual Data with Multiple Intentions ICLR 2018 More Robust Doubly Robust Off-policy Evaluation ICML 2018 Path Consistency Learning in Tsallis Entropy Regularized MDPs ICML 2018 Risk-Constrained Reinforcement Learning with Percentile Risk Criteria JMLR 2018 Sequential Multiple Hypothesis Testing with Type I Error Control AISTATS 2017 Safe Policy Improvement by Minimizing Robust Baseline Regret NeurIPS 2016 Policy Gradient for Coherent Risk Measures NeurIPS 2015 Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach NeurIPS 2015 Algorithms for CVaR Optimization in MDPs NeurIPS 2014