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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

Minimax-optimal and Locally-adaptive Online Nonparametric Regression ALT 2025 Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary JMLR 2025 Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps UAI 2025 Minimax Optimal Two-Sample Testing under Local Differential Privacy JMLR 2025 Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift ICLR 2025 Minimizing Polarization and Disagreement in the Friedkin–Johnsen Model with Unknown Innate Opinions IJCAI 2025 Minimum Empirical Divergence for Sub-Gaussian Linear Bandits AISTATS 2025 Minimum Width for Universal Approximation using Squashable Activation Functions ICML 2025 Mining the uncertainty patterns of humans and models in the annotation of moral foundations and human values ACL 2025 Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models ICLR 2025 Minority-Focused Text-to-Image Generation via Prompt Optimization CVPR 2025 Mirage: A Multi-Level Superoptimizer for Tensor Programs OSDI 2025 Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias? ICML 2025 Misalignment Attack on Text-to-Image Models via Text Embedding Optimization and Inversion EMNLP 2025 (Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning ICLR 2025 Misspecified Q-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error ICLR 2025 Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel ACL 2025 Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation EMNLP 2025 Mitigating Bias in Item Retrieval for Enhancing Exam Assembly in Vocational Education Services NAACL 2025 Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination ICCV 2025 Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking ACL 2025 Mitigating Forgetting in Continual Learning with Selective Gradient Projection IJCNLP 2025 Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key CVPR 2025 Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets EMNLP 2025 Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing ICML 2025