Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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81 results at NeurIPS 2020

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
- - Yu Chen
  - Lingfei Wu
  - et al.
- 2020
- NeurIPS 2020
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
- - Joel Dapello
  - Tiago Marques
  - et al.
- 2020
- NeurIPS 2020
Active Structure Learning of Causal DAGs via Directed Clique Trees
- - Chandler Squires
  - Sara Magliacane
  - et al.
- 2020
- NeurIPS 2020
Unbalanced Sobolev Descent
- - Youssef Mroueh
  - Mattia Rigotti
- 2020
- NeurIPS 2020
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
- - Mingrui Liu
  - Wei Zhang
  - 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
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