Curvature-Corrected learning dynamics in deep neural networks
- Dongsung Huh
- 2020
- ICML 2020
Publications
Learning to rank learning curves
- Martin Wistuba
- Tejaswini Pedapati
- 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
Model fusion with kullback-leibler divergence
- Sebastian Claici
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
Enhancing simple models by exploiting what they already know
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
New oracle-efficient algorithms for private synthetic data release
- Giuseppe Vietri
- Grace Tian
- et al.
- 2020
- ICML 2020
Quantum boosting
- Srinivasan Arunachalam
- Reevu Maity
- 2020
- ICML 2020
Unsupervised speech decomposition via triple information bottleneck
- Kaizhi Qian
- Yang Zhang
- 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
Two simple ways to learn individual fairness metrics from data
- Debarghya Mukherjee
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020