Publications

Estimating information flow in deep neural networks
- - Ziv Goldfeld
  - Ewout van den Berg
  - et al.
- 2019
- ICML 2019
Variational Russian roulette for deep Bayesian nonparametrics
- - Kai Xu
  - Akash Srivastava
  - et al.
- 2019
- ICML 2019
Proven: Verifying robustness of neural networks with a probabilistic approach
- - Tsui Wei Weng
  - Pin-Yu Chen
  - et al.
- 2019
- ICML 2019
Beyond backprop: Online alternating minimization with auxiliary variables
- - Anna Choromanska
  - Benjamin Cowen
  - et al.
- 2019
- ICML 2019
Scalable fair clustering
- - Arturs Backurs
  - Piotr Indyk
  - et al.
- 2019
- ICML 2019
Generalized linear rule models
- - Dennis Wei
  - Sanjeeb Dash
  - et al.
- 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
Kernel-based reinforcement learning in Robust Markov decision processes
- - Shiau Hong Lim
  - Arnaud Autef
- 2019
- ICML 2019
Fast incremental von neumann graph entropy computation: Theory, algorithm, and applications
- - Pin-Yu Chen
  - Lingfei Wu
  - et al.
- 2019
- ICML 2019
Dynamic learning with frequent new product launches: A sequential multinomial logit bandit problem
- - Junyu Cao
  - Wei Sun
- 2019
- ICML 2019