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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
Improving Exact Algorithm for Pseudo Boolean Optimization with Two New Phase Selection Heuristics
AAAI 2026
Unlearning in Cross-Modal Retrieval via Prior-Prototype Guided Partitioned Dampening
AAAI 2026
SoMe: A Realistic Benchmark for LLM-based Social Media Agents
AAAI 2026
Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans
AAAI 2026
Learning Protein–Ligand Binding in Hyperbolic Space
AAAI 2026
ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction
AAAI 2026
Variation-Bounded Loss for Noise-Tolerant Learning
AAAI 2026
MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models
AAAI 2026
LocalBench: Benchmarking LLMs on County-Level Local Knowledge and Reasoning
AAAI 2026
Specification-Guided Reinforcement Learning
AAAI 2026
Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit
AAAI 2026
Semi-supervised Domain Adaptation via Mutual Alignment through Joint Error
WACV 2026
Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios
AAAI 2026
Scaling Laws for Conditional Emergence of Multilingual Image Captioning via Generalization from Translation
AAAI 2026
Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits
AAAI 2026
Quantum Lipschitz Bandits
AAAI 2026
On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD
AAAI 2026
Beyond Sharpness: The Role of Nonuniformity in Generalization
AAAI 2026
Unified Structural Factors for Transfer Learning Generalization with PAC-Bayesian Guarantees
AAAI 2026
On Robustness of Linear Classifiers to Targeted Data Poisoning
AAAI 2026
Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning
AAAI 2026
Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience
AAAI 2026
Stabilizing Policy Gradient Methods via Reward Profiling
AAAI 2026
Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?
AAAI 2026
Best Arm Identification with Biased Contexts
AAAI 2026
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