'Interpretable algorithmic fairness in structured and unstructured data', by Hari Bandi, Dimitris Bertsimas, Thodoris Koukouvinos, Sofie Kupiec. jmlr.org/papers/v25/23-… #bias #fairness #classification

'Learning from many trajectories', by Stephen Tu, Roy Frostig, Mahdi Soltanolkotabi. jmlr.org/papers/v25/23-… #trajectories #supervised #trajectory

'BenchMARL: Benchmarking Multi-Agent Reinforcement Learning', by Matteo Bettini, Amanda Prorok, Vincent Moens. jmlr.org/papers/v25/23-… #benchmarking #benchmarks #reinforcement

'Understanding Entropic Regularization in GANs', by Daria Reshetova, Yikun Bai, Xiugang Wu, Ayfer Özgür. jmlr.org/papers/v25/21-… #adversarial #regularization #gans

'A Framework for Improving the Reliability of Black-box Variational Inference', by Manushi Welandawe, Michael Riis Andersen, Aki Vehtari, Jonathan H. Huggins. jmlr.org/papers/v25/22-… #adaptively #variational #optimization

'Low-Rank Matrix Estimation in the Presence of Change-Points', by Lei Shi, Guanghui Wang, Changliang Zou. jmlr.org/papers/v25/22-… #trace #matrix #minimization

'Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds', by Hao Liang, Zhi-Quan Luo. jmlr.org/papers/v25/22-… #optimism #risk #distributional

'Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model', by Ning Wang, Xin Zhang, Qing Mai. jmlr.org/papers/v25/23-… #lasso #regularized #maximization

'Sparse Graphical Linear Dynamical Systems', by Emilie Chouzenoux, Victor Elvira. jmlr.org/papers/v25/23-… #lasso #models #modeling

'Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model', by Rashmi Ranjan Bhuyan et al. jmlr.org/papers/v25/23-… #pricing #autoregressive #regret

'Split Conformal Prediction and Non-Exchangeable Data', by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos, João Vitor Romano. jmlr.org/papers/v25/23-… #prediction #conformal #exchangeability

'Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds', by Zhenghao Xu, Xiang Ji, Minshuo Chen, Mengdi Wang, Tuo Zhao. jmlr.org/papers/v25/24-… #cnns #cnn #deep

'Memory-Efficient Sequential Pattern Mining with Hybrid Tries', by Amin Hosseininasab, Willem-Jan van Hoeve, Andre A. Cire. jmlr.org/papers/v25/22-… #patterns #pattern #memory

'Continuous Prediction with Experts' Advice', by Nicholas J. A. Harvey, Christopher Liaw, Victor S. Portella. jmlr.org/papers/v25/22-… #stochastic #prediction #optimal

'Data-driven Automated Negative Control Estimation (DANCE): Search for, Validation of, and Causal Inference with Negative Controls', by Erich Kummerfeld, Jaewon Lim, Xu Shi. jmlr.org/papers/v25/22-… #confounder #causal #confounding

'Individual-centered Partial Information in Social Networks', by Xiao Han, Y. X. Rachel Wang, Qing Yang, Xin Tong. jmlr.org/papers/v25/23-… #adjacency #subgraphs #centrality

'Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression', by Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert D. Nowak. jmlr.org/papers/v25/23-… #regularization #lasso #representations

'Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective', by Youssef Marzouk, Zhi (Robert) Ren, Sven Wang, Jakob Zech. jmlr.org/papers/v25/23-… #entropy #distributions #nonparametric

'Invariant Physics-Informed Neural Networks for Ordinary Differential Equations', by Shivam Arora, Alex Bihlo, Francis Valiquette. jmlr.org/papers/v25/23-… #invariantized #invariants #symmetries

'Regret Analysis of Bilateral Trade with a Smoothed Adversary', by Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi. jmlr.org/papers/v25/23-… #buyers #optimal #adversary