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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)

Generalization and Learnability in Multiple Instance Regression UAI 2024 Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024 Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming NeurIPS 2024 Generalization Bound and New Algorithm for Clean-Label Backdoor Attack ICML 2024 Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis ICML 2024 Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation ICML 2024 Generalization Bounds for Label Noise Stochastic Gradient Descent AISTATS 2024 Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024 Generalization Bounds via Conditional f-Information NeurIPS 2024 Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure NeurIPS 2024 Generalization Error of Graph Neural Networks in the Mean-field Regime ICML 2024 Generalization error of spectral algorithms ICLR 2024 Generalization in diffusion models arises from geometry-adaptive harmonic representations ICLR 2024 Generalization in Kernel Regression Under Realistic Assumptions ICML 2024 Generalization Measures for Zero-Shot Cross-Lingual Transfer EMNLP 2024 Generalization of Hamiltonian algorithms NeurIPS 2024 Generalization of Scaled Deep ResNets in the Mean-Field Regime ICLR 2024 Generalization on the Unseen, Logic Reasoning and Degree Curriculum JMLR 2024 Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons AAAI 2024 Generalized Coverage for More Robust Low-Budget Active Learning ECCV 2024 Generalized Eigenvalue Problems with Generative Priors NeurIPS 2024 Generalized Fast Exact Conformalization NeurIPS 2024 Generalized Measures of Anticipation and Responsivity in Online Language Processing EMNLP 2024 Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions ICLR 2024 Generalized Policy Iteration using Tensor Approximation for Hybrid Control ICLR 2024