Liang, Dawen

8 publications

ICLR 2026 Rank-GRPO: Training LLM-Based Conversational Recommender Systems with Reinforcement Learning Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Vito Claudio Ostuni, Jundong Li, Nathan Kallus

ICML 2025 A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents Kaiwen Wang, Dawen Liang, Nathan Kallus, Wen Sun

ICML 2024 Switching the Loss Reduces the Cost in Batch Reinforcement Learning Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James Mcinerney, Dawen Liang, Nathan Kallus, Csaba Szepesvari

ICML 2019 Correlated Variational Auto-Encoders Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi

ICLRW 2019 Correlated Variational Auto-Encoders Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi

AISTATS 2018 On the Challenges of Learning with Inference Networks on Sparse, High-Dimensional Data Rahul G. Krishnan, Dawen Liang, Matthew D. Hoffman

ICML 2015 Landmarking Manifolds with Gaussian Processes Dawen Liang, John Paisley

ICLR 2014 A Generative Product-of-Filters Model of Audio Dawen Liang, Matthew D. Hoffman, Gautham J. Mysore