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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Stochastic Subspace Cubic Newton Method ICML 2020 Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes AISTATS 2020 Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well ICLR 2020 Stolen Probability: A Structural Weakness of Neural Language Models ACL 2020 Stopping criterion for active learning based on deterministic generalization bounds AISTATS 2020 Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning NeurIPS 2020 Strategies for Cooperative UAVs Using Model Predictive Control IJCAI 2020 Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation Ratio IJCAI 2020 Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract) AAAI 2020 Streaming Coresets for Symmetric Tensor Factorization ICML 2020 Streaming k-Submodular Maximization under Noise subject to Size Constraint ICML 2020 Streaming Submodular Maximization under a k-Set System Constraint ICML 2020 Streamlined Variational Inference with Higher Level Random Effects JMLR 2020 STReSSD: Sim-To-Real from Sound for Stochastic Dynamics CoRL 2020 Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons AISTATS 2020 Strongly Budget Balanced Auctions for Multi-Sided Markets AAAI 2020 Structural Decompositions of Epistemic Logic Programs AAAI 2020 Structure Adaptive Algorithms for Stochastic Bandits ICML 2020 Structure-Aware Feature Fusion for Unsupervised Domain Adaptation AAAI 2020 Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO WACV 2020 Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models AISTATS 2020 Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis ICML 2020 Structured Policy Iteration for Linear Quadratic Regulator ICML 2020 Structured Prediction for Conditional Meta-Learning NeurIPS 2020 Structured Pruning of Large Language Models EMNLP 2020