Publications

81 results at NeurIPS 2020

Entropic Causal Inference: Identifiability and Finite Sample Results Spencer Compton
- - Spencer Compton
  - Murat Kocaoglu
  - et al.
- 2020
- NeurIPS 2020
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning
- - Han Cai
  - Chuang Gan
  - 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
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- - Chia-Yu Chen
  - Jiamin Ni
  - 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
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
- - Ziv Goldfeld
  - Kristjan Greenewald
  - et al.
- 2020
- NeurIPS 2020
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
- - Ben Usman
  - Avneesh Sud
  - et al.
- 2020
- NeurIPS 2020
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
- - Nian Si
  - Jose Blanchet
  - et al.
- 2020
- NeurIPS 2020
Training Stronger Baselines for Learning to Optimize
- - Tianlong Chen
  - Weiyi Zhang
  - et al.
- 2020
- NeurIPS 2020
Inductive Quantum Embedding
- - Santosh Kumar Srivastava
  - Dinesh Khandelwal
  - et al.
- 2020
- NeurIPS 2020