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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)

Follow the Leader If You Can, Hedge If You Must JMLR 2014 Follow the Leader with Dropout Perturbations COLT 2014 Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint ICML 2014 From MAP to Marginals: Variational Inference in Bayesian Submodular Models NeurIPS 2014 From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity CVPR 2014 From Stochastic Mixability to Fast Rates NeurIPS 2014 Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014 Fully-Automatic Bayesian Piecewise Sparse Linear Models AISTATS 2014 Fully Simplified Multivariate Normal Updates in Non-Conjugate Variational Message Passing JMLR 2014 Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NeurIPS 2014 Gaussian Approximation of Collective Graphical Models ICML 2014 Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014 Gaussian Process Optimization with Mutual Information ICML 2014 Gaussian Process Volatility Model NeurIPS 2014 Gauss-Newton Deformable Part Models for Face Alignment in-the-Wild CVPR 2014 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014 Generalized Exponential Concentration Inequality for Renyi Divergence Estimation ICML 2014 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NeurIPS 2014 Generalized Pupil-Centric Imaging and Analytical Calibration for a Non-frontal Camera CVPR 2014 General Table Completion using a Bayesian Nonparametric Model NeurIPS 2014 Generating Efficient MCMC Kernels from Probabilistic Programs AISTATS 2014 Generative Adversarial Nets NeurIPS 2014 GeNGA: A Generalization of Natural Gradient Ascent with Positive and Negative Convergence Results ICML 2014 Geodesic Distance Function Learning via Heat Flow on Vector Fields ICML 2014 GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare ICML 2014