Curvature-Corrected learning dynamics in deep neural networks
- Dongsung Huh
- 2020
- ICML 2020
Publications
Is there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testing
- Sanghamitra Dutta
- Dennis Wei
- et al.
- 2020
- ICML 2020
Model fusion with kullback-leibler divergence
- Sebastian Claici
- Mikhail Yurochkin
- 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
PoWER-BERT: Accelerating BERT inference via progressive word-vector elimination
- 2020
- ICML 2020
Stochastic gauss-newton algorithms for nonconvex compositional optimization
- Quoc Tran-Dinh
- Nhan H. Pham
- et al.
- 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
Learning task-agnostic embedding of multiple black-box experts for multi-task model fusion
- Trong Nghia Hoang
- Chi Thanh Lam
- 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
Quantum boosting
- Srinivasan Arunachalam
- Reevu Maity
- 2020
- ICML 2020