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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)

Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming ICML 2023 Efficient Learning of Minimax Risk Classifiers in High Dimensions UAI 2023 Efficient List-Decodable Regression using Batches ICML 2023 Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks CVPR 2023 Efficient Low-rank Backpropagation for Vision Transformer Adaptation NeurIPS 2023 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games ICLR 2023 Efficiently Controlling Multiple Risks with Pareto Testing ICLR 2023 Efficiently learning the graph for semi-supervised learning UAI 2023 Efficient median of means estimator COLT 2023 Efficient Model Updates for Approximate Unlearning of Graph-Structured Data ICLR 2023 Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection AAAI 2023 Efficient On-Device Training via Gradient Filtering CVPR 2023 Efficient Online Clustering with Moving Costs NeurIPS 2023 Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric NeurIPS 2023 Efficient preconditioned stochastic gradient descent for estimation in latent variable models ICML 2023 Efficient Privacy-Preserving Stochastic Nonconvex Optimization UAI 2023 Efficient Quantum Algorithms for Quantum Optimal Control ICML 2023 Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation ICML 2023 Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations NeurIPS 2023 Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs NeurIPS 2023 Efficient Structure-preserving Support Tensor Train Machine JMLR 2023 Efficient Testable Learning of Halfspaces with Adversarial Label Noise NeurIPS 2023 Efficient Top-K Feature Selection Using Coordinate Descent Method AAAI 2023 EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones ICCV 2023 Efficient Training of Energy-Based Models Using Jarzynski Equality NeurIPS 2023