Learning Global Transparent Models consistent with Local Contrastive Explanations
- Tejaswini Pedapati
- Avinash Balakrishnan
- et al.
- 2020
- NeurIPS 2020
Publications
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2020
- NeurIPS 2020
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
- Hamid Jalalzai
- Pierre Colombo
- et al.
- 2020
- NeurIPS 2020
Model Agnostic Learning of Multilevel Explanations
- Karthikeyan Natesan Ramamurthy
- Bhanu Vinzamuri
- et al.
- 2020
- NeurIPS 2020
Training Stronger Baselines for Learning to Optimize
- Tianlong Chen
- Weiyi Zhang
- et al.
- 2020
- NeurIPS 2020
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
- Ping Hu
- Stan Sclaroff
- et al.
- 2020
- 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
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
- Minh Hoang
- Trong Nghia Hoang
- et al.
- 2020
- NeurIPS 2020
Applications of Common Entropy for Causal Inference
- Murat Kocaoglu
- Sanjay Shakkottai
- et al.
- 2020
- NeurIPS 2020