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

Experimental design for learning causal graphs with latent variables
- - Murat Kocaoglu
  - Karthikeyan Shanmugam
  - et al.
- 2017
- NeurIPS 2017
Communication-efficient distributed learning of discrete probability distributions
- - Ilias Diakonikolas
  - Elena Grigorescu
  - et al.
- 2017
- NeurIPS 2017
Optimized pre-processing for discrimination prevention
- - Flavio Du Pin Calmon
  - Dennis Wei
  - et al.
- 2017
- NeurIPS 2017
Mixture-rank matrix approximation for collaborative filtering
- - Dongsheng Li
  - Chao Chen
  - et al.
- 2017
- NeurIPS 2017
Wasserstein learning of deep generative point process models
- - Shuai Xiao
  - Mehrdad Farajtabar
  - et al.
- 2017
- NeurIPS 2017
Interpretable and globally optimal prediction for textual grounding using image concepts
- - Raymond Yeh
  - Jinjun Xiong
  - et al.
- 2017
- NeurIPS 2017
Fisher GAN
- - Youssef Mroueh
  - Tom Sercu
- 2017
- NeurIPS 2017
Semi-supervised learning with GANs: Manifold invariance with improved inference
- - Abhishek Kumar
  - Prasanna Sattigeri
  - et al.
- 2017
- NeurIPS 2017
Net-Trim: Convex pruning of deep neural networks with performance guarantee
- - Alireza Aghasi
  - Afshin Abdi
  - et al.
- 2017
- NeurIPS 2017
Scalable demand-aware recommendation
- - Jinfeng Yi
  - Cho-Jui Hsieh
  - et al.
- 2017
- NeurIPS 2017