Stochastic gauss-newton algorithms for nonconvex compositional optimization
- Quoc Tran-Dinh
- Nhan H. Pham
- et al.
- 2020
- ICML 2020
Conference paper
Publications
Model fusion with kullback-leibler divergence
- Sebastian Claici
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
Conference paperIs there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testing
- Sanghamitra Dutta
- Dennis Wei
- et al.
- 2020
- ICML 2020
Conference paperPoWER-BERT: Accelerating BERT inference via progressive word-vector elimination
- 2020
- ICML 2020
Conference paperMin-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks
- Sijia Liu
- Songtao Lu
- et al.
- 2020
- ICML 2020
Conference paperEnhancing simple models by exploiting what they already know
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Conference paperCurvature-Corrected learning dynamics in deep neural networks
- Dongsung Huh
- 2020
- ICML 2020
Conference paperBio-inspired hashing for unsupervised similarity search
- Chaitanya K. Ryali
- John J. Hopfield
- et al.
- 2020
- ICML 2020
Conference paperNew oracle-efficient algorithms for private synthetic data release
- Giuseppe Vietri
- Grace Tian
- et al.
- 2020
- ICML 2020
Conference paperLearning to rank learning curves
- Martin Wistuba
- Tejaswini Pedapati
- 2020
- ICML 2020
Conference paper