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
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35 results at ICML 2020
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
Leveraging Simple Model Predictions for Enhancing its Performance
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
PaccMannRL on SARS-CoV-2: Designing antiviral candidates with conditional generative models
- Jannis Born
- Matteo Manica
- et al.
- 2020
- ICML 2020
Mining Documentation to Extract Hyperparameter Schemas
- Guillaume Baudart
- Peter D. Kirchner
- et al.
- 2020
- ICML 2020
Chi-square Information for Invariant Learning
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2020
- ICML 2020
Do You Sign Your Model?
- Omid Aramoon
- Pin-Yu Chen
- et al.
- 2020
- ICML 2020
Hierarchically Attentive Graph Pooling with Subgraph Attention
- Sambaran Bandyopadhyay
- Manasvi Aggarwal
- et al.
- 2020
- ICML 2020