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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17 results at JMLR

Hard-Constrained Deep Learning for Climate Downscaling
- - Paula Harder
  - Alex Hernandez-garcia
  - et al.
- 2023
- JMLR
On efficient multilevel clustering via wasserstein distances
- - Viet Huynh
  - Nhat Ho
  - et al.
- 2021
- JMLR
Optimized score transformation for consistent fair classification
- - Dennis Wei
  - Karthikeyan Natesan Ramamurthy
  - et al.
- 2021
- JMLR
A unified convergence analysis for shuffling-type gradient methods
- - Lam Nguyen
  - Quoc Tran-Dinh
  - et al.
- 2021
- JMLR
Ai explainability 360: An extensible toolkit for understanding data and machine learning models
- - Vijay Arya
  - Rachel Bellamy
  - et al.
- 2020
- JMLR
Proxsarah: An efficient algorithmic framework for stochastic composite nonconvex optimization
- - Nhan H. Pham
  - Lam Nguyen
  - et al.
- 2020
- JMLR
Joint causal inference from multiple contexts
- - Joris M. Mooij
  - Sara Magliacane
  - et al.
- 2020
- JMLR
New convergence aspects of stochastic gradient algorithms
- - Lam Nguyen
  - Phuong Ha Nguyen
  - et al.
- 2019
- JMLR
Unsupervised evaluation and weighted aggregation of ranked classification predictions
- - Mehmet Eren Ahsen
  - Robert Vogel
  - et al.
- 2019
- JMLR
Model selection in Bayesian neural networks via horseshoe priors
- - Soumya Ghosh
  - Jiayu Yao
  - et al.
- 2019
- JMLR