Publications

Proven: Verifying robustness of neural networks with a probabilistic approach
- - Tsui Wei Weng
  - Pin-Yu Chen
  - et al.
- 2019
- ICML 2019
Scalable fair clustering
- - Arturs Backurs
  - Piotr Indyk
  - et al.
- 2019
- ICML 2019
Bayesian nonparametric federated learning of neural networks
- - Mikhail Yurochkin
  - Mayank Agarwal
  - et al.
- 2019
- ICML 2019
Dirichlet simplex nest and geometric inference
- - Mikhail Yurochkin
  - Aritra Guha
  - et al.
- 2019
- ICML 2019
Beyond backprop: Online alternating minimization with auxiliary variables
- - Anna Choromanska
  - Benjamin Cowen
  - et al.
- 2019
- ICML 2019
Trimming the ₁ regularizer: Statistical analysis, optimization, and applications to deep learning
- - Jihun Yun
  - Peng Zheng
  - et al.
- 2019
- ICML 2019
Dimensionality reduction for Tukey regression
- - Kenneth L. Clarkson
  - Ruosong Wang
  - et al.
- 2019
- ICML 2019
Kernel-based reinforcement learning in Robust Markov decision processes
- - Shiau Hong Lim
  - Arnaud Autef
- 2019
- ICML 2019
Topological data analysis of decision boundaries with application to model selection
- - Karthikeyan Natesan Ramamurthy
  - Kush R. Varshney
  - et al.
- 2019
- ICML 2019
Linear-complexity data-parallel earth mover's distance approximations
- - Kubilay Atasu
  - Thomas Mittelholzer
- 2019
- ICML 2019