Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. 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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Year

Kernel-based reinforcement learning in Robust Markov decision processes
- - Shiau Hong Lim
  - Arnaud Autef
- 2019
- ICML 2019
DAG-GNN: DAG structure learning with graph neural networks
- - Yue Yu
  - Jie Chen
  - et al.
- 2019
- ICML 2019
Generalized linear rule models
- - Dennis Wei
  - Sanjeeb Dash
  - et al.
- 2019
- ICML 2019
Estimating information flow in deep neural networks
- - Ziv Goldfeld
  - Ewout van den Berg
  - et al.
- 2019
- ICML 2019
Variational Russian roulette for deep Bayesian nonparametrics
- - Kai Xu
  - Akash Srivastava
  - et al.
- 2019
- ICML 2019
Proven: Verifying robustness of neural networks with a probabilistic approach
- - Tsui Wei Weng
  - Pin-Yu Chen
  - et al.
- 2019
- ICML 2019
Topological data analysis of decision boundaries with application to model selection
- - Karthikeyan Natesan Ramamurthy
  - Kush R. Varshney
  - et al.
- 2019
- ICML 2019
Trimming the ₁ regularizer: Statistical analysis, optimization, and applications to deep learning
- - Jihun Yun
  - Peng Zheng
  - et al.
- 2019
- ICML 2019
Bayesian nonparametric federated learning of neural networks
- - Mikhail Yurochkin
  - Mayank Agarwal
  - et al.
- 2019
- ICML 2019
Dirichlet simplex nest and geometric inference
- - Mikhail Yurochkin
  - Aritra Guha
  - et al.
- 2019
- ICML 2019