Zhao Song

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 11

Top Topics

Sequential Decision Making Problems

Theoretical Justification

Belief Networks

Top Venues

Publications

Abishek Sankararaman, Balakrishnan Narayanaswamy, Vikramank Y. Singh, Zhao Song
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers. ICML (2022)
Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song
WaveFlow: A Compact Flow-based Model for Raw Audio. ICML (2020)
Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao
Non-Autoregressive Neural Text-to-Speech. ICML (2020)
Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song
WaveFlow: A Compact Flow-based Model for Raw Audio. CoRR (2019)
Zhao Song, Ronald Parr, Lawrence Carin
Revisiting the Softmax Bellman Operator: New Benefits and New Perspective. ICML (2019)
Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao
Parallel Neural Text-to-Speech. CoRR (2019)
Zhao Song, Ronald E. Parr, Lawrence Carin
Revisiting the Softmax Bellman Operator: Theoretical Properties and Practical Benefits. CoRR (2018)
Zhao Song, Yusuke Muraoka, Ryohei Fujimaki, Lawrence Carin
Scalable Model Selection for Belief Networks. NIPS (2017)
Zhao Song, Ronald E. Parr, Xuejun Liao, Lawrence Carin
Linear Feature Encoding for Reinforcement Learning. NIPS (2016)
Zhao Song, Xuejun Liao, Lawrence Carin
Solving DEC-POMDPs by Expectation Maximization of Value Function. AAAI Spring Symposia (2016)
Zhao Song, Ricardo Henao, David E. Carlson, Lawrence Carin
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization. AISTATS (2016)