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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Theory
4950 directly classified papers
Papers per year
2000: 1
2001: 2
2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
2013: 76
2014: 66
2015: 72
2016: 102
2017: 156
2018: 246
2019: 353
2020: 447
2021: 567
2022: 646
2023: 741
2024: 670
2025: 426
2026: 128
Papers
What Do Machine Learning Researchers Mean by “Reproducible”?
AAAI 2025
Equilibria of the Colonel Blotto Games with Costs
AAAI 2025
(1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error
AAAI 2025
ReproHum #0729-04: Partial reproduction of the human evaluation of the MemSum and NeuSum summarisation systems
ACL 2025
Language Models Resist Alignment: Evidence From Data Compression
ACL 2025
Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates
IJCAI 2025
A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations
IJCAI 2025
Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies
IJCAI 2025
REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction
EMNLP 2025
Efficient Visual Representation Learning with Heat Conduction Equation
IJCAI 2025
Polynomial-Time Relational Probabilistic Inference in Open Universes
IJCAI 2025
Neuron Similarity-Based Neural Network Verification via Abstraction and Refinement
IJCAI 2025
Hallucination Detection in Structured Query Generation via LLM Self-Debating
EMNLP 2025
The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III)
IJCAI 2025
Data-Driven Performance Guarantees for Classical and Learned Optimizers
JMLR 2025
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training
AAAI 2025
When LRP Diverges from Leave-One-Out in Transformers
EMNLP 2025
Are Large Language Models Fluent in Declarative Process Mining?
IJCAI 2025
Theoretical Analysis of Hierarchical Language Recognition and Generation by Transformers without Positional Encoding
ACL 2025
Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations
IJCAI 2025
Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration
CVPR 2025
Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality
JMLR 2025
Toward Interpretable Time Series Modeling: A Kernel Representation Perspective
IJCAI 2025
PoWER Never Corrupts: Tool-Agnostic Verification of Crash Consistency and Corruption Detection
OSDI 2025
Set-Valued Sensitivity Analysis of Deep Neural Networks
AAAI 2025
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