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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

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52
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828
3,646
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2000
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Papers (including subtopics)

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations ACL 2024 Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NeurIPS 2024 Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality JMLR 2024 Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends ACL 2024 MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024 MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift AAAI 2024 Maximizing the Success Probability of Policy Allocations in Online Systems AAAI 2024 Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift ICLR 2024 MaxMin-RLHF: Alignment with Diverse Human Preferences ICML 2024 MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024 MD tree: a model-diagnostic tree grown on loss landscape ICML 2024 Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks IJCAI 2024 Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input NeurIPS 2024 Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective ICML 2024 Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning ICML 2024 Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach NeurIPS 2024 Mean Field Theory in Deep Metric Learning ICLR 2024 Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization ICML 2024 Meaningful Causal Aggregation and Paradoxical Confounding CLeaR 2024 Mean-Shift Feature Transformer CVPR 2024 Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling JMLR 2024 Measures of diversity and space-filling designs for categorical data ICML 2024 Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset NeurIPS 2024 Measuring Per-Unit Interpretability at Scale Without Humans NeurIPS 2024 Measuring Retrieval Complexity in Question Answering Systems ACL 2024