Improving the sample and communication complexity for decentralized non-convex optimization: Joint gradient estimation and tracking
- Haoran Sun
- Songtao Lu
- et al.
- 2020
- ICML 2020
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
- 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