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.
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (48) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π¬
Deep Specialist
(14)
π€
Dynamic Duo
(18)
π
Triple Crown
π§¬
Topic Evolution
π
Keyword Champion
(4)
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable Β· Silver
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(142)
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(25)
Reinforcement Learning
(23)
Methods
(20)
Artificial Intelligence
(18)
Core AI
(17)
Learning Types
(17)
Optimization & Theory
(11)
Application Areas
(7)
Core Methods
(5)
Mathematics & Optimization
(4)
Applications
(4)
Learning Paradigms
(3)
Optimization
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Keywords
reinforcement learning
(10)
policy gradient
(7)
model-based reinforcement learning
(5)
markov decision process
(4)
conditional value at risk
(4)
policy optimization
(3)
imitation learning
(3)
latent dynamics
(3)
contextual bandit
(3)
off-policy evaluation
(3)
safe reinforcement learning
(2)
sample efficiency
(2)
variational inference
(2)
robust optimization
(2)
regret bound
(2)
constraint satisfaction
(2)
sequential decision making
(2)
importance sampling
(2)
representation learning
(2)
optimal control
(2)
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