Publications

Curvature-Corrected learning dynamics in deep neural networks
- - Dongsung Huh
- 2020
- ICML 2020
New oracle-efficient algorithms for private synthetic data release
- - Giuseppe Vietri
  - Grace Tian
  - et al.
- 2020
- ICML 2020
Stochastic gauss-newton algorithms for nonconvex compositional optimization
- - Quoc Tran-Dinh
  - Nhan H. Pham
  - et al.
- 2020
- ICML 2020
Learning to rank learning curves
- - Martin Wistuba
  - Tejaswini Pedapati
- 2020
- ICML 2020
PoWER-BERT: Accelerating BERT inference via progressive word-vector elimination
- - Saurabh Goyal
  - Anamitra R. Choudhury
  - 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
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
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