Estimating information flow in deep neural networks
- Ziv Goldfeld
- Ewout van den Berg
- et al.
- 2019
- ICML 2019
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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
Topological data analysis of decision boundaries with application to model selection
- Karthikeyan Natesan Ramamurthy
- Kush R. Varshney
- 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
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
Collective model fusion for multiple black-box experts
- Quang Minh Hoang
- Trong Nghia Hoang
- et al.
- 2019
- ICML 2019
Fast incremental von neumann graph entropy computation: Theory, algorithm, and applications
- Pin-Yu Chen
- Lingfei Wu
- et al.
- 2019
- ICML 2019
Beyond backprop: Online alternating minimization with auxiliary variables
- Anna Choromanska
- Benjamin Cowen
- et al.
- 2019
- ICML 2019