Publications

81 results at NeurIPS 2020

Approximate Cross-Validation for Structured Models
- - Soumya Ghosh
  - William T. Stephenson
  - et al.
- 2020
- NeurIPS 2020
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
- - Matthew Faw
  - Rajat Sen
  - et al.
- 2020
- NeurIPS 2020
The Discrete Gaussian for Differential Privacy
- - Clément L. Canonne
  - Gautam Kamath
  - et al.
- 2020
- NeurIPS 2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
- - Dennis Wei
  - Tian Gao
  - et al.
- 2020
- NeurIPS 2020
Learning Global Transparent Models consistent with Local Contrastive Explanations
- - Tejaswini Pedapati
  - Avinash Balakrishnan
  - et al.
- 2020
- NeurIPS 2020
MCUNet: Tiny Deep Learning on IoT Devices
- - Ji Lin
  - Wei-Ming Chen
  - et al.
- 2020
- NeurIPS 2020
Impossibility Results for Grammar-Compressed Linear Algebra
- - Amir Abboud
  - Arturs Backurs
  - et al.
- 2020
- NeurIPS 2020
xLP: Explainable Link Prediction Demo
- - Balaji Ganesan
  - Srinivas Parkala
  - et al.
- 2020
- NeurIPS 2020
IBM Federated Learning Community Edition: An Interactive Demonstration
- - Laura Wynter
- 2020
- NeurIPS 2020
Fast and Automatic Visual Label Conflict Resolution
- - Narendra Nath Joshi
  - A. Sharma
  - et al.
- 2020
- NeurIPS 2020