A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
- Haoran Zhu
- Pavankumar Murali
- et al.
- 2020
- NeurIPS 2020
Publications
Training Stronger Baselines for Learning to Optimize
- Tianlong Chen
- Weiyi Zhang
- et al.
- 2020
- NeurIPS 2020
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
- Hamid Jalalzai
- Pierre Colombo
- et al.
- 2020
- NeurIPS 2020
Finding the Homology of Decision Boundaries with Active Learning
- Weizhi Li
- Gautam Dasarathy
- et al.
- 2020
- NeurIPS 2020
Entropic Causal Inference: Identifiability and Finite Sample Results Spencer Compton
- Spencer Compton
- Murat Kocaoglu
- et al.
- 2020
- NeurIPS 2020
Model Agnostic Learning of Multilevel Explanations
- Karthikeyan Natesan Ramamurthy
- Bhanu Vinzamuri
- et al.
- 2020
- NeurIPS 2020
Optimizing Mode Connectivity via Neuron Alignment
- N. Joseph Tatro
- Pin-Yu Chen
- 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
Improving NAND flash performance with read heat separation
- 2020
- MASCOTS 2020
Effective Elastic Scaling of Deep Learning Workloads
- Vaibhav Saxena
- Jayaram Kr Kallapalayam Radhakrishnan
- et al.
- 2020
- MASCOTS 2020