Publications

Safe reinforcement learning in constrained markov decision processes
- - Akifumi Wachi
  - Yanan Sui
- 2020
- ICML 2020
Unsupervised speech decomposition via triple information bottleneck
- - Kaizhi Qian
  - Yang Zhang
  - et al.
- 2020
- ICML 2020
Stochastic gauss-newton algorithms for nonconvex compositional optimization
- - Quoc Tran-Dinh
  - Nhan H. Pham
  - et al.
- 2020
- ICML 2020
Model fusion with kullback-leibler divergence
- - Sebastian Claici
  - Mikhail Yurochkin
  - et al.
- 2020
- ICML 2020
Is there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testing
- - Sanghamitra Dutta
  - Dennis Wei
  - et al.
- 2020
- ICML 2020
PoWER-BERT: Accelerating BERT inference via progressive word-vector elimination
- - Saurabh Goyal
  - Anamitra R. Choudhury
  - et al.
- 2020
- ICML 2020
Min-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks
- - Sijia Liu
  - Songtao Lu
  - et al.
- 2020
- ICML 2020
Enhancing simple models by exploiting what they already know
- - Amit Dhurandhar
  - Karthikeyan Shanmugam
  - et al.
- 2020
- ICML 2020
Curvature-Corrected learning dynamics in deep neural networks
- - Dongsung Huh
- 2020
- ICML 2020
Bio-inspired hashing for unsupervised similarity search
- - Chaitanya K. Ryali
  - John J. Hopfield
  - et al.
- 2020
- ICML 2020