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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)

DBDNet: Learning Bi-directional Dynamics for Early Action Prediction IJCAI 2019 DBSCAN: Optimal Rates For Density-Based Cluster Estimation JMLR 2019 Debiased Bayesian inference for average treatment effects NeurIPS 2019 Decentralized Cooperative Stochastic Bandits NeurIPS 2019 Decentralized Dictionary Learning Over Time-Varying Digraphs JMLR 2019 Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019 Decentralized Optimization with Edge Sampling IJCAI 2019 Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication ICML 2019 Decision Making for Improving Maritime Traffic Safety Using Constraint Programming IJCAI 2019 Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation CVPR 2019 Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models ICML 2019 Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask NeurIPS 2019 Decoupled Weight Decay Regularization ICLR 2019 Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019 Deep Bayesian Natural Language Processing ACL 2019 Deep Bayesian Optimization on Attributed Graphs AAAI 2019 Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant AAAI 2019 Deep Counterfactual Regret Minimization ICML 2019 Deep Dominance - How to Properly Compare Deep Neural Models ACL 2019 Deep Equilibrium Models NeurIPS 2019 Deep Exploration via Randomized Value Functions JMLR 2019 Deep Factors for Forecasting ICML 2019 Deep Frank-Wolfe For Neural Network Optimization ICLR 2019 Deep Gaussian Processes with Importance-Weighted Variational Inference ICML 2019 Deep Generalized Method of Moments for Instrumental Variable Analysis NeurIPS 2019