DAG-GNN: DAG structure learning with graph neural networks
- Yue Yu
- Jie Chen
- et al.
- 2019
- ICML 2019
Publications
Kernel-based reinforcement learning in Robust Markov decision processes
- Shiau Hong Lim
- Arnaud Autef
- 2019
- ICML 2019
Collective model fusion for multiple black-box experts
- Quang Minh Hoang
- Trong Nghia Hoang
- 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
Efficient circuits for quantum search over 2D square lattice architecture
- Shaohan Hu
- Dmitri Maslov
- et al.
- 2019
- DAC 2019
Comprehensive search for ECO rectification using symbolic sampling
- Victor N. Kravets
- Nian Ze Lee
- et al.
- 2019
- DAC 2019
FPGA/DNN co-design: An efficient design methodology for IoT intelligence on the edge
- Cong Hao
- Xiaofan Zhang
- et al.
- 2019
- DAC 2019
A memory-efficient markov decision process computation framework using BDD-based sampling representation
- He Zhou
- Sunil P. Khatri
- et al.
- 2019
- DAC 2019
NAPEL: Near-memory computing application performance prediction via ensemble learning
- Gagandeep Singh
- Juan Gomez-Luna
- et al.
- 2019
- DAC 2019
BiScaled-DNN: Quantizing long-tailed datastructures with two scale factors for deep neural networks
- Shubham Jain
- Swagath Venkataramani
- et al.
- 2019
- DAC 2019