Molecular Hypergraph Grammar with Its Application to Molecular Optimization
- Hiroshi Kajino
- 2019
- ICML 2019
Publications
Date
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22 results at ICML 2019
Kernel-based reinforcement learning in Robust Markov decision processes
- Shiau Hong Lim
- Arnaud Autef
- 2019
- ICML 2019
DAG-GNN: DAG structure learning with graph neural networks
- Yue Yu
- Jie Chen
- et al.
- 2019
- ICML 2019
Generalized linear rule models
- Dennis Wei
- Sanjeeb Dash
- et al.
- 2019
- ICML 2019
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
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