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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
Reasoning Models Reason Well, Until They Don’t
AACL 2025
On Memorization of Large Language Models in Logical Reasoning
AACL 2025
Why do language models perform worse for morphologically complex languages?
COLING 2025
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?
EMNLP 2025
A Formal Theory of Optimal Learning with Experimental Results
IJCAI 2025
Cost-Aware Near-Optimal Policy Learning
AAAI 2025
Scenario-Based Robust Optimization of Tree Structures
AAAI 2025
Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces
AAAI 2025
Evaluating Mathematical Reasoning Beyond Accuracy
AAAI 2025
Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems
AAAI 2025
Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation
AAAI 2025
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses
AAAI 2025
Training on the Benchmark Is Not All You Need
AAAI 2025
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions
AAAI 2025
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
AAAI 2025
The Bandit Whisperer: Communication Learning for Restless Bandits
AAAI 2025
On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages
AAAI 2025
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes
AAAI 2025
Set-Valued Sensitivity Analysis of Deep Neural Networks
AAAI 2025
Generalization of Graph Neural Networks Is Robust to Model Mismatch
AAAI 2025
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
AAAI 2025
Certification of Speaker Recognition Models to Additive Perturbations
AAAI 2025
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
AAAI 2025
Marginal Benefit Driven RL Teacher for Unsupervised Environment Design
AAAI 2025
Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks
AAAI 2025
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