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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)

Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs NeurIPS 2021 Differentiable Particle Filtering via Entropy-Regularized Optimal Transport ICML 2021 Differentiable rendering with perturbed optimizers NeurIPS 2021 Differentiable Spatial Planning using Transformers ICML 2021 Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks NeurIPS 2021 Differentiable Spline Approximations NeurIPS 2021 Differentiable Surface Rendering via Non-Differentiable Sampling ICCV 2021 Differentiable Synthesis of Program Architectures NeurIPS 2021 Differentiable Trust Region Layers for Deep Reinforcement Learning ICLR 2021 Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message ICML 2021 Differentially Private Assouad, Fano, and Le Cam ALT 2021 Differentially Private Bayesian Inference for Generalized Linear Models ICML 2021 Differentially Private Correlation Alignment for Domain Adaptation IJCAI 2021 Differentially Private Correlation Clustering ICML 2021 Differentially Private Federated Bayesian Optimization with Distributed Exploration NeurIPS 2021 Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints AISTATS 2021 Differentially Private Nonparametric Regression Under a Growth Condition COLT 2021 Differentially Private Online Submodular Maximization AISTATS 2021 Differentially Private Quantiles ICML 2021 Differentially Private Query Release Through Adaptive Projection ICML 2021 Differentially Private Regression and Classification with Sparse Gaussian Processes JMLR 2021 Differentially Private Sampling from Distributions NeurIPS 2021 Differentially Private Sliced Wasserstein Distance ICML 2021 Differentially Private Stochastic Coordinate Descent AAAI 2021 Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings NeurIPS 2021