Invariant rationalization
- Shiyu Chang
- Yang Zhang
- et al.
- 2020
- ICML 2020
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35 results at ICML 2020
Stochastic gauss-newton algorithms for nonconvex compositional optimization
- Quoc Tran-Dinh
- Nhan H. Pham
- et al.
- 2020
- ICML 2020
Unsupervised speech decomposition via triple information bottleneck
- Kaizhi Qian
- Yang Zhang
- et al.
- 2020
- ICML 2020
Safe reinforcement learning in constrained markov decision processes
- Akifumi Wachi
- Yanan Sui
- 2020
- ICML 2020
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
Fast learning of graph neural networks with guaranteed generalizability: One-hidden-layer case
- Shuai Zhang
- Meng Wang
- et al.
- 2020
- ICML 2020
Proper network interpretability helps adversarial robustness in classification
- Akhilan Boopathy
- Sijia Liu
- et al.
- 2020
- ICML 2020
Quantum boosting
- Srinivasan Arunachalam
- Reevu Maity
- 2020
- ICML 2020
Two simple ways to learn individual fairness metrics from data
- Debarghya Mukherjee
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources
- Yun Yun Tsai
- Pin-Yu Chen
- et al.
- 2020
- ICML 2020