Publications

Interpretable and globally optimal prediction for textual grounding using image concepts
- - Raymond Yeh
  - Jinjun Xiong
  - et al.
- 2017
- NeurIPS 2017
Wasserstein learning of deep generative point process models
- - Shuai Xiao
  - Mehrdad Farajtabar
  - et al.
- 2017
- NeurIPS 2017
Mixture-rank matrix approximation for collaborative filtering
- - Dongsheng Li
  - Chao Chen
  - et al.
- 2017
- NeurIPS 2017
Optimized pre-processing for discrimination prevention
- - Flavio Du Pin Calmon
  - Dennis Wei
  - et al.
- 2017
- NeurIPS 2017
Experimental design for learning causal graphs with latent variables
- - Murat Kocaoglu
  - Karthikeyan Shanmugam
  - et al.
- 2017
- NeurIPS 2017
Dilated recurrent neural networks
- - Shiyu Chang
  - Yang Zhang
  - et al.
- 2017
- NeurIPS 2017
Communication-efficient distributed learning of discrete probability distributions
- - Ilias Diakonikolas
  - Elena Grigorescu
  - et al.
- 2017
- NeurIPS 2017
Lightweight Replication Through Remote Backup Memory Sharing for In-memory Key-Value Stores
- - Yandong Wang
  - Li Zhang
  - et al.
- 2017
- MASCOTS 2017
Nexus: Bringing Efficient and Scalable Training to Deep Learning Frameworks
- - Yandong Wang
  - Li Zhang
  - et al.
- 2017
- MASCOTS 2017
Practical quantum-safe voting from lattices
- - Rafaël Del Pino
  - Vadim Lyubashevsky
  - et al.
- 2017
- CCS 2017