Variational Russian roulette for deep Bayesian nonparametrics
- Kai Xu
- Akash Srivastava
- et al.
- 2019
- ICML 2019
Conference paper
Publications
Estimating information flow in deep neural networks
- Ziv Goldfeld
- Ewout van den Berg
- et al.
- 2019
- ICML 2019
Conference paperGeneralized linear rule models
- Dennis Wei
- Sanjeeb Dash
- et al.
- 2019
- ICML 2019
Conference paperDAG-GNN: DAG structure learning with graph neural networks
- Yue Yu
- Jie Chen
- et al.
- 2019
- ICML 2019
Conference paperKernel-based reinforcement learning in Robust Markov decision processes
- Shiau Hong Lim
- Arnaud Autef
- 2019
- ICML 2019
Conference paperCollective model fusion for multiple black-box experts
- Quang Minh Hoang
- Trong Nghia Hoang
- et al.
- 2019
- ICML 2019
Conference paperProgramming support for autonomizing software
- Wen Chuan Lee
- Peng Liu
- et al.
- 2019
- PLDI 2019
Conference paperBiScaled-DNN: Quantizing long-tailed datastructures with two scale factors for deep neural networks
- Shubham Jain
- Swagath Venkataramani
- et al.
- 2019
- DAC 2019
Conference paperEfficient circuits for quantum search over 2D square lattice architecture
- Shaohan Hu
- Dmitri Maslov
- et al.
- 2019
- DAC 2019
Conference paperComprehensive search for ECO rectification using symbolic sampling
- Victor N. Kravets
- Nian Ze Lee
- et al.
- 2019
- DAC 2019
Conference paper