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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)

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation WACV 2022 Dynamic Learning in Large Matching Markets NeurIPS 2022 Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand Model NeurIPS 2022 Dynamic Regret of Online Markov Decision Processes ICML 2022 Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution NeurIPS 2022 Dynamic Sparse R-CNN CVPR 2022 Dynamic Topic Models for Temporal Document Networks ICML 2022 Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks ACL 2022 DyRep: Bootstrapping Training With Dynamic Re-Parameterization CVPR 2022 Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks NeurIPS 2022 Early Stopping Based on Unlabeled Samples in Text Classification ACL 2022 Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022 Easy Variational Inference for Categorical Models via an Independent Binary Approximation ICML 2022 EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning ICML 2022 EENAS: An Efficient Evolutionary Algorithm for Neural Architecture Search ACML 2022 EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NeurIPS 2022 Effective Dimension in Bandit Problems under Censorship NeurIPS 2022 Effective Model Sparsification by Scheduled Grow-and-Prune Methods ICLR 2022 Effects of Data Geometry in Early Deep Learning NeurIPS 2022 Efficiency Ordering of Stochastic Gradient Descent NeurIPS 2022 Efficient Adversarial Training with Robust Early-Bird Tickets EMNLP 2022 Efficient Aggregated Kernel Tests using Incomplete U-statistics NeurIPS 2022 Efficient Algorithms for Extreme Bandits AISTATS 2022 Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes IJCAI 2022 Efficient and Differentiable Conformal Prediction with General Function Classes ICLR 2022