Journal of Machine Learning Research

JMLR has recently launched a Special Issue on ML for addressing problems of climate change! We welcome all submissions which use machine learning to address problems of climate change, including mitigation, adaptation, and climate science. [1/4]

'Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective', by Yuling Jiao, Yanming Lai, Yang Wang, Bokai Yan. jmlr.org/papers/v27/25-… #softmax #transformer #layers

'Online Bernstein-von Mises theorem', by Jeyong Lee, Junhyeok Choi, Minwoo Chae. jmlr.org/papers/v27/25-… #prior #posterior #incrementally

'Covariate-dependent Hierarchical Dirichlet Processes', by Huizi Zhang, Sara Wade, Natalia Bochkina. jmlr.org/papers/v27/25-… #bayesian #hierarchical #clusters

'DCatalyst: A Unified Accelerated Framework for Decentralized Optimization', by TIanyu Cao, Xiaokai Chen, Gesualdo Scutari. jmlr.org/papers/v27/25-… #algorithms #decentralized #optimization

'Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models', by Nicola Gnecco, Jonas Peters, Sebastian Engelke, Niklas Pfister. jmlr.org/papers/v27/24-… #generalization #prediction #causal

'Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas', by Esther Rolf, Lucia Gordon, Milind Tambe, Andrew Davies. jmlr.org/papers/v27/24-… #geospatial #regions #glob

'A Symplectic Analysis of Alternating Mirror Descent', by Jonas E. Katona, Xiuyuan Wang, Andre Wibisono. jmlr.org/papers/v27/24-… #hamiltonian #symplectic #iterations

'Two-way Node Popularity Model for Directed and Bipartite Networks', by Bing-Yi Jing, Ting Li, Jiangzhou Wang, Ya Wang. jmlr.org/papers/v27/24-… #communities #nodes #node

'Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization', by Yuchen Li, Laura Balzano, Deanna Needell, Hanbaek Lyu. jmlr.org/papers/v27/24-… #minimization #minimizes #optimization

'Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood', by Jiangrong Ouyang, Mingming Gong, Howard Bondell. jmlr.org/papers/v27/23-… #bandit #bayesian #inferences

'A causal fused lasso for interpretable heterogeneous treatment effects estimation', by Oscar Hernan Madrid Padilla, Yanzhen Chen, Carlos Misael Madrid Padilla, Gabriel Ruiz. jmlr.org/papers/v27/23-… #lasso #covariates #propensity

'Unsupervised Feature Selection via Nonnegative Orthogonal Constrained Regularized Minimization', by Yan Li, Defeng Sun, Liping Zhang. jmlr.org/papers/v27/23-… #minimization #clustering #regularized

'Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent', by Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou. jmlr.org/papers/v27/25-… #neuron #complex #learns

'Hierarchical Causal Models', by Eli N. Weinstein, David M. Blei. jmlr.org/papers/v27/25-… #causal #hierarchical #inference

'Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection', by Addison Kristanto Julistiono, Davoud Ataee Tarzanagh, Navid Azizan. jmlr.org/papers/v27/25-… #softmax #attention #svm

'Adaptive Forward Stepwise: A Method for High Sparsity Regression', by Ivy Zhang, Robert Tibshirani. jmlr.org/papers/v27/25-… #lasso #sparser #boosting

'Optimization and Generalization of Gradient Descent for Shallow ReLU Networks with Minimal Width', by Yunwen Lei, Puyu Wang, Yiming Ying, Ding-Xuan Zhou. jmlr.org/papers/v27/24-… #rademacher #optimal #generalization

'Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection', by Steven Adams, Andrea Patanè, Morteza Lahijanian, Luca Laurenti. jmlr.org/papers/v27/24-… #gaussian #approximation #approximate

'CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration', by Sophie Jaffard, Samuel Vaiter, Patricia Reynaud-Bouret. jmlr.org/papers/v27/24-… #neuron #neurons #neuronal

'Persistence Diagrams Estimation of Multivariate Piecewise H{\"o}lder-continuous Signals', by Hugo Henneuse. jmlr.org/papers/v27/24-… #persistence #stability #estimation