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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
Minimax Linear Regression under the Quantile Risk
COLT 2024
Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer
CVPR 2024
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes
NIPS 2024
Identifying Important Group of Pixels using Interactions
CVPR 2024
HEMM: Holistic Evaluation of Multimodal Foundation Models
NIPS 2024
Selectively Answering Visual Questions
ACL 2024
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
ACL 2024
Variance estimation in compound decision theory under boundedness
NIPS 2024
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
ACL 2024
A Meta-Learning Perspective on Transformers for Causal Language Modeling
ACL 2024
The Role of Over-Parameterization in Machine Learning – the Good, the Bad, the Ugly
AAAI 2024
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction
AAAI 2024
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
AAAI 2024
How Does Variance Shape the Regret in Contextual Bandits?
NIPS 2024
Foundations of Reactive Synthesis for Declarative Process Specifications
AAAI 2024
Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models
ACL 2024
Clarifying the Behavior and the Difficulty of Adversarial Training
AAAI 2024
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes
AAAI 2024
Improving Alignment and Robustness with Circuit Breakers
NIPS 2024
MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information
AAAI 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation
AAAI 2024
Hardness of Random Reordered Encodings of Parity for Resolution and CDCL
AAAI 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
NIPS 2024
Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint)
AAAI 2024
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport
AISTATS 2024
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