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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)

Conditional Expectation Propagation UAI 2019 Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator ICML 2019 Conditionally Independent Multiresolution Gaussian Processes AISTATS 2019 Conditions on Features for Temporal Difference-Like Methods to Converge IJCAI 2019 Conference on Learning Theory 2019: Preface COLT 2019 Confidence Weighted Multitask Learning AAAI 2019 Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes IJCAI 2019 Conformalized Quantile Regression NeurIPS 2019 Conformal Prediction Under Covariate Shift NeurIPS 2019 Connecting and Comparing Language Model Interpolation Techniques Interspeech 2019 Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NeurIPS 2019 Consensus in Opinion Formation Processes in Fully Evolving Environments AAAI 2019 Consensus Maximization Tree Search Revisited ICCV 2019 Conservative Exploration using Interleaving AISTATS 2019 Conservative Wasserstein Training for Pose Estimation ICCV 2019 Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon COLT 2019 Consistent Online Optimization: Convex and Submodular AISTATS 2019 Constrained Reinforcement Learning Has Zero Duality Gap NeurIPS 2019 Constraint-based Causal Structure Learning with Consistent Separating Sets NeurIPS 2019 Constraint-based Learning of Phonological Processes EMNLP 2019 Constraint Solving and Optimization Using Evolutionary Techniques IJCAI 2019 Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels CVPR 2019 Context-adaptive Entropy Model for End-to-end Optimized Image Compression ICLR 2019 Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation AAAI 2019 Contextual bandits with continuous actions: Smoothing, zooming, and adapting COLT 2019