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← Optimization & Theory
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Optimization & Theory
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Statistical Learning
4076 directly classified papers
Papers per year
2001: 2
2002: 8
2003: 9
2004: 7
2005: 9
2006: 34
2007: 37
2008: 34
2009: 41
2010: 62
2011: 68
2012: 81
2013: 109
2014: 120
2015: 99
2016: 149
2017: 160
2018: 205
2019: 285
2020: 376
2021: 433
2022: 447
2023: 577
2024: 488
2025: 192
2026: 44
Papers
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
JMLR 2025
Graph-accelerated Markov Chain Monte Carlo using Approximate Samples
JMLR 2025
Generalized multi-view model: Adaptive density estimation under low-rank constraints
JMLR 2025
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
JMLR 2025
Neural Networks Perform Sufficient Dimension Reduction
AAAI 2025
Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
JMLR 2025
Selective Inference with Distributed Data
JMLR 2025
Error estimation and adaptive tuning for unregularized robust M-estimator
JMLR 2025
Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on nite spaces: A statistical perspective
JMLR 2025
Manifold Fitting under Unbounded Noise
JMLR 2025
Composite Goodness-of-fit Tests with Kernels
JMLR 2025
Determine the Number of States in Hidden Markov Models via Marginal Likelihood
JMLR 2025
Estimation of Local Geometric Structure on Manifolds from Noisy Data
JMLR 2025
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data
JMLR 2025
Dynamic angular synchronization under smoothness constraints
JMLR 2025
A Unifying Information-theoretic Perspective on Evaluating Generative Models
AAAI 2025
IRNLP at SemEval-2025 Task 10: Multilingual Narrative Characterization and Classification
ACL 2025
The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
ACL 2025
MemeQA: Holistic Evaluation for Meme Understanding
ACL 2025
A New Formulation of Zipf’s Meaning-Frequency Law through Contextual Diversity
ACL 2025
Statistical Deficiency for Task Inclusion Estimation
ACL 2025
FINDR: A Fast Influential Data Selector for NL2Code Pretraining
AACL 2025
Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
AACL 2025
Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation
AACL 2025
Convergence and Divergence of Language Models under Different Random Seeds
EMNLP 2025
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