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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)

Diffeomorphic Information Neural Estimation AAAI 2023 Difference of submodular minimization via DC programming ICML 2023 Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes NeurIPS 2023 Differentiable and Transportable Structure Learning ICML 2023 Differentiable Architecture Search With Random Features CVPR 2023 Differentiable Economics for Randomized Affine Maximizer Auctions IJCAI 2023 Differentiable Instruction Optimization for Cross-Task Generalization ACL 2023 Differentiable Mathematical Programming for Object-Centric Representation Learning ICLR 2023 Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs NeurIPS 2023 Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick NeurIPS 2023 Differentiable Simulations for Enhanced Sampling of Rare Events ICML 2023 Differentiable sorting for censored time-to-event data. NeurIPS 2023 Differentiable Transportation Pruning ICCV 2023 Differentiable Tree Operations Promote Compositional Generalization ICML 2023 Differentiable user models UAI 2023 Differentially Private Adaptive Optimization with Delayed Preconditioners ICLR 2023 Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap COLT 2023 Differentially Private Distributed Bayesian Linear Regression with MCMC ICML 2023 Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023 Differentially Private Hypothesis Testing for Linear Regression JMLR 2023 Differentially Private Image Classification by Learning Priors from Random Processes NeurIPS 2023 Differentially Private Learning with Per-Sample Adaptive Clipping AAAI 2023 Differentially Private Sharpness-Aware Training ICML 2023 Differentially Private Statistical Inference through β-Divergence One Posterior Sampling NeurIPS 2023 Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023