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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)

A Drifting-Games Analysis for Online Learning and Applications to Boosting NeurIPS 2014 A Dual Algorithm for Olfactory Computation in the Locust Brain NeurIPS 2014 Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014 A Filtering Approach to Stochastic Variational Inference NeurIPS 2014 A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models AISTATS 2014 A framework for studying synaptic plasticity with neural spike train data NeurIPS 2014 A Framework for Testing Identifiability of Bayesian Models of Perception NeurIPS 2014 A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014 A Geometric Algorithm for Scalable Multiple Kernel Learning AISTATS 2014 Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy ICML 2014 Agnostic Bayesian Learning of Ensembles ICML 2014 A Hierarchical Context Model for Event Recognition in Surveillance Video CVPR 2014 A Kernel Independence Test for Random Processes ICML 2014 A Level-set Hit-and-run Sampler for Quasi-Concave Distributions AISTATS 2014 Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold AISTATS 2014 Algorithms for CVaR Optimization in MDPs NeurIPS 2014 (Almost) No Label No Cry NeurIPS 2014 Alternating Linearization for Structured Regularization Problems JMLR 2014 Alternating Minimization for Mixed Linear Regression ICML 2014 Altitude Training: Strong Bounds for Single-Layer Dropout NeurIPS 2014 A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input NeurIPS 2014 An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014 An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization ICML 2014 Analog Memories in a Balanced Rate-Based Network of E-I Neurons NeurIPS 2014 Analysis of Brain States from Multi-Region LFP Time-Series NeurIPS 2014