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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)

The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph ICML 2025 The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures ICLR 2025 The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions ICML 2025 The Causal Information Bottleneck and Optimal Causal Variable Abstractions UAI 2025 The Complexity of Extending Fair Allocations of Indivisible Goods AAAI 2025 The Complexity of Learning Sparse Superposed Features with Feedback ICML 2025 The Complexity of Sequential Prediction in Dynamical Systems L4DC 2025 The Complexity of Two-Team Polymatrix Games with Independent Adversaries ICLR 2025 The Computational Complexity of Circuit Discovery for Inner Interpretability ICLR 2025 The Core of Approval-Based Committee Elections with Few Seats IJCAI 2025 The Cost Perspective of Liquid Democracy: Feasibility and Control AAAI 2025 The Crucial Role of Samplers in Online Direct Preference Optimization ICLR 2025 The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation ICCV 2025 The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models ICML 2025 The Directionality of Optimization Trajectories in Neural Networks ICLR 2025 The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025 The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited ICLR 2025 The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning JMLR 2025 The Emperor’s New Reasoning: Format Imitation Overshadows Genuine Mathematical Understanding in SFT EMNLP 2025 The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective AAAI 2025 The Exception of Humor: Iconicity, Phonemic Surprisal, Memory Recall, and Emotional Associations COLING 2025 The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III) IJCAI 2025 The Foundations of Tokenization: Statistical and Computational Concerns ICLR 2025 The Fundamental Limits of Recovering Planted Subgraphs (extended abstract) COLT 2025 The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025