- Yuexi Wang, Veronika Rocková. Generative Bayesian Inference with GANs. Journal of Machine Learning Research, 27, 2026.
- Yuhang Liu 0002, Zhen Zhang 0008, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang 0001, Javen Qinfeng Shi. Identifying Weight-Variant Latent Causal Models. Journal of Machine Learning Research, 27, 2026.
- Florian Vincent, Waïss Azizian, Franck Iutzeler, Jérôme Malick. skwdro: a library for Wasserstein distributionally robust machine learning. Journal of Machine Learning Research, 27, 2026.
- Cornelia Schneider, Mario Ullrich, Jan Vybíral. Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations. Journal of Machine Learning Research, 27, 2026.
- Ivy Zhang, Robert Tibshirani. Adaptive Forward Stepwise: A Method for High Sparsity Regression. Journal of Machine Learning Research, 27, 2026.
- Aleksi Avela, Pauliina Ilmonen. Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification. Journal of Machine Learning Research, 27, 2026.
- Lianghao Cao, Joshua Chen, Michael Brennan, Thomas O'Leary-Roseberry, Youssef Marzouk 0001, Omar Ghattas. LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and Surrogate-Driven Measure Transport. Journal of Machine Learning Research, 27, 2026.
- Yudong Wang, Zhi-Sheng Ye 0001, Cheng Yong Tang. Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling. Journal of Machine Learning Research, 27, 2026.
- Tong Wu 0008. Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent. Journal of Machine Learning Research, 27, 2026.
- Jonas E. Katona, Xiuyuan Wang 0007, Andre Wibisono. A Symplectic Analysis of Alternating Mirror Descent. Journal of Machine Learning Research, 27, 2026.