A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
- Mingrui Liu
- Wei Zhang
- et al.
- 2020
- NeurIPS 2020
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A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
- Haoran Zhu
- Pavankumar Murali
- 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
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
Applications of Common Entropy for Causal Inference
- Murat Kocaoglu
- Sanjay Shakkottai
- et al.
- 2020
- NeurIPS 2020
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
- Shashanka Ubaru
- Sanjeeb Dash
- et al.
- 2020
- NeurIPS 2020
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
- Minh Hoang
- Trong Nghia Hoang
- et al.
- 2020
- NeurIPS 2020
Higher-Order Certification For Randomized Smoothing
- Jeet Mohapatra; Ching-Yun Ko
- Tsui-Wei Weng
- et al.
- 2020
- NeurIPS 2020
Model Agnostic Multilevel Explanations
- Karthikeyan Natesan Ramamurthy
- Bhanukiran Vinzamuri
- et al.
- 2020
- NeurIPS 2020