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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
352
828
3,646
5,854
2000
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Papers (including subtopics)

Implicit regularization of deep residual networks towards neural ODEs ICLR 2024 Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems NeurIPS 2024 Implicit Regularization Paths of Weighted Neural Representations NeurIPS 2024 Importance Matching Lemma for Lossy Compression with Side Information AISTATS 2024 Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NeurIPS 2024 Improved algorithm and bounds for successive projection ICLR 2024 Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024 Improved Algorithms for Contextual Dynamic Pricing NeurIPS 2024 Improved Analysis for Bandit Learning in Matching Markets NeurIPS 2024 Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model ICLR 2024 Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility AAAI 2024 Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NeurIPS 2024 Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy ICML 2024 Improved Communication-Privacy Trade-offs in L_2 Mean Estimation under Streaming Differential Privacy ICML 2024 Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements ICML 2024 Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes ICML 2024 Improved Evolutionary Algorithms for Submodular Maximization with Cost Constraints IJCAI 2024 Improved Generation of Adversarial Examples Against Safety-aligned LLMs NeurIPS 2024 Improved Guarantees for Fully Dynamic k-Center Clustering with Outliers in General Metric Spaces NeurIPS 2024 Improved Hardness Results for Learning Intersections of Halfspaces COLT 2024 Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024 Improved Implicit Neural Representation with Fourier Reparameterized Training CVPR 2024 Improved learning rates in multi-unit uniform price auctions NeurIPS 2024 Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials ICML 2024 Improved Particle Approximation Error for Mean Field Neural Networks NeurIPS 2024