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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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Papers (including subtopics)

Optimal Batched Linear Bandits ICML 2024 Optimal bounds for ℓ_p sensitivity sampling via ℓ_2 augmentation ICML 2024 Optimal Budgeted Rejection Sampling for Generative Models AISTATS 2024 Optimal Bump Functions for Shallow ReLU networks: Weight Decay, Depth Separation, Curse of Dimensionality JMLR 2024 Optimal Classification under Performative Distribution Shift NeurIPS 2024 Optimal Clustering with Bandit Feedback JMLR 2024 Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime ICLR 2024 Optimal Decision Tree and Adaptive Submodular Ranking with Noisy Outcomes JMLR 2024 Optimal deep learning of holomorphic operators between Banach spaces NeurIPS 2024 Optimal Design for Human Preference Elicitation NeurIPS 2024 Optimal Differentially Private Model Training with Public Data ICML 2024 Optimal estimation of Gaussian (poly)trees AISTATS 2024 Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks ICML 2024 Optimal Exploration is no harder than Thompson Sampling AISTATS 2024 Optimal Extended Formulations from Optimal Dynamic Programming Algorithms IJCAI 2024 Optimal First-Order Algorithms as a Function of Inequalities JMLR 2024 Optimal Flow Matching: Learning Straight Trajectories in Just One Step NeurIPS 2024 Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization ICML 2024 Optimal Hypothesis Selection in (Almost) Linear Time NeurIPS 2024 Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint) IJCAI 2024 Optimal Kernel Quantile Learning with Random Features ICML 2024 Optimal Learning Policies for Differential Privacy in Multi-armed Bandits JMLR 2024 Optimally Improving Cooperative Learning in a Social Setting ICML 2024 Optimal Multiclass U-Calibration Error and Beyond NeurIPS 2024 Optimal Multi-Distribution Learning COLT 2024