Publications

Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
- - Minh Hoang
  - Trong Nghia Hoang
  - et al.
- 2020
- NeurIPS 2020
Finding second-order stationary points efficiently in smooth nonconvex linearly constrained optimization problems
- - Songtao Lu
  - Meisam Razaviyayn
  - et al.
- 2020
- NeurIPS 2020
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
- - Haoran Zhu
  - Pavankumar Murali
  - et al.
- 2020
- NeurIPS 2020
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function
- - Quoc Tran Dinh
  - Deyi Liu
  - et al.
- 2020
- NeurIPS 2020
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
- - Gang Wang
  - Songtao Lu
  - et al.
- 2020
- NeurIPS 2020
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
- - Amin Jaber
  - Murat Kocaoglu
  - et al.
- 2020
- NeurIPS 2020
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
- - Mingrui Liu
  - Wei Zhang
  - et al.
- 2020
- NeurIPS 2020
Applications of Common Entropy for Causal Inference
- - Murat Kocaoglu
  - Sanjay Shakkottai
  - et al.
- 2020
- NeurIPS 2020
Finding the Homology of Decision Boundaries with Active Learning
- - Weizhi Li
  - Gautam Dasarathy
  - et al.
- 2020
- NeurIPS 2020
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
- - Ping Hu
  - Stan Sclaroff
  - et al.
- 2020
- NeurIPS 2020