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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Learning Theory
5312 directly classified papers
Papers per year
2001: 1
2002: 16
2003: 16
2004: 15
2005: 17
2006: 30
2007: 32
2008: 32
2009: 34
2010: 66
2011: 76
2012: 74
2013: 94
2014: 115
2015: 123
2016: 128
2017: 185
2018: 219
2019: 390
2020: 466
2021: 640
2022: 664
2023: 799
2024: 688
2025: 307
2026: 85
Papers
Do Generative Video Models Understand Physical Principles?
WACV 2026
Diversity patterns run deep: Impact of diversity intake on multiword expression identification
EACL 2026
Personal Information Parroting in Language Models
EACL 2026
TimeMachine-bench: A Benchmark for Evaluating Model Capabilities in Repository-Level Migration Tasks
EACL 2026
A Regex Minimization Benchmark: A PSPACE-Complete Challenge for Language Models
EACL 2026
RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
EACL 2026
Revisiting Generalization Across Difficulty Levels: It’s Not So Easy
EACL 2026
Pelican Soup Framework: A Theoretical Framework for Language Model Capabilities
EACL 2026
Revealing Redundant Syntax in Large Language Models through Multi-Hop Dependency Paths
EACL 2026
Cylindrical Lattice Embedding for Program Induction
AAAI 2026
Out of Distribution, Out of Luck: Process Rewards Misguide Reasoning Models
EACL 2026
Memorization and Expressivity in Transformers: A Learning-Theoretic Perspective
AAAI 2026
Sleep-Like Replay Reduces Loss-Landscape Sharpness to Improve Generalization (Student Abstract)
AAAI 2026
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport (Abstract Reprint)
AAAI 2026
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents (Abstract Reprint)
AAAI 2026
Recursive Causal Discovery (Abstract Reprint)
AAAI 2026
A Theoretical Model for Grit in Pursuing Ambitious Ends
AAAI 2026
Preference Robustness for DPO with Applications to Public Health
AAAI 2026
Efficient Solution and Learning of Robust Factored MDPs
AAAI 2026
Gaussian Approximation for Two-Timescale Linear Stochastic Approximation
AAAI 2026
Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach
AAAI 2026
Robust Causal Discovery Under Imperfect Structural Constraints
AAAI 2026
Theoretical and Empirical Analysis of Lehmer Codes to Search Permutation Spaces with Evolutionary Algorithms
AAAI 2026
Towards a Rigorous Understanding of the Population Dynamics of the NSGA-III: Tight Runtime Bounds
AAAI 2026
On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
AAAI 2026
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