Min-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks
- Sijia Liu
- Songtao Lu
- et al.
- 2020
- ICML 2020
Publications
Stochastic gauss-newton algorithms for nonconvex compositional optimization
- Quoc Tran-Dinh
- Nhan H. Pham
- et al.
- 2020
- ICML 2020
New oracle-efficient algorithms for private synthetic data release
- Giuseppe Vietri
- Grace Tian
- et al.
- 2020
- ICML 2020
Bio-inspired hashing for unsupervised similarity search
- Chaitanya K. Ryali
- John J. Hopfield
- et al.
- 2020
- ICML 2020
Learning to rank learning curves
- Martin Wistuba
- Tejaswini Pedapati
- 2020
- ICML 2020
Curvature-Corrected learning dynamics in deep neural networks
- Dongsung Huh
- 2020
- ICML 2020
Enhancing simple models by exploiting what they already know
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Unsupervised speech decomposition via triple information bottleneck
- Kaizhi Qian
- Yang Zhang
- 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
Safe reinforcement learning in constrained markov decision processes
- Akifumi Wachi
- Yanan Sui
- 2020
- ICML 2020