Zhao Song

13 papers A* 4A 1Journal 3Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
Vista: Machine Learning based Database Performance Troubleshooting Framework in Amazon RDS.
SoCC
Vikramank Y. Singh, Zhao Song, Balakrishnan (Murali) Narayanaswamy, Kapil Eknath Vaidya, Tim Kraska
2022 A* conf
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers.
ICML
Abishek Sankararaman, Balakrishnan Narayanaswamy, Vikramank Y. Singh, Zhao Song
2020 A* conf
Non-Autoregressive Neural Text-to-Speech.
ICML
Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao
2020 A* conf
WaveFlow: A Compact Flow-based Model for Raw Audio.
ICML
Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song
2019 J jnl
Parallel Neural Text-to-Speech.
CoRR
Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao
2019 A* conf
Revisiting the Softmax Bellman Operator: New Benefits and New Perspective.
ICML
Zhao Song, Ronald Parr, Lawrence Carin
2019 J jnl
WaveFlow: A Compact Flow-based Model for Raw Audio.
CoRR
Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song
2018 — —
Learning Features for Unsupervised Learning and Reinforcement Learning.
Zhao Song
2018 J jnl
Revisiting the Softmax Bellman Operator: Theoretical Properties and Practical Benefits.
CoRR
Zhao Song, Ronald E. Parr, Lawrence Carin
2017 — conf
Scalable Model Selection for Belief Networks.
NIPS
Zhao Song, Yusuke Muraoka, Ryohei Fujimaki, Lawrence Carin
2016 A conf
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization.
AISTATS
Zhao Song, Ricardo Henao, David E. Carlson, Lawrence Carin
2016 — conf
Linear Feature Encoding for Reinforcement Learning.
NIPS
Zhao Song, Ronald E. Parr, Xuejun Liao, Lawrence Carin
2016 — conf
Solving DEC-POMDPs by Expectation Maximization of Value Function.
AAAI Spring Symposia
Zhao Song, Xuejun Liao, Lawrence Carin