Hard-Constrained Deep Learning for Climate Downscaling
- Paula Harder
- Alex Hernandez-garcia
- et al.
- 2023
- JMLR
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17 results at 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