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Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

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Papers (including subtopics)

Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space AISTATS 2012
Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012
No Internal Regret via Neighborhood Watch AISTATS 2012
Regularization Paths with Guarantees for Convex Semidefinite Optimization AISTATS 2012
Scalable Inference on Kingman’s Coalescent using Pair Similarity AISTATS 2012
Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012
Stochastic Bandit Based on Empirical Moments AISTATS 2012
Variable Selection for Gaussian Graphical Models AISTATS 2012
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012
On Bayesian Upper Confidence Bounds for Bandit Problems AISTATS 2012
Online Clustering of Processes AISTATS 2012
Regression for sets of polynomial equations AISTATS 2012
Efficient Hypergraph Clustering AISTATS 2012
Data dependent kernels in nearly-linear time AISTATS 2012
Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012
Adaptive MCMC with Bayesian Optimization AISTATS 2012
Globally Optimizing Graph Partitioning Problems Using Message Passing AISTATS 2012
Lifted Linear Programming AISTATS 2012
Beyond Logarithmic Bounds in Online Learning AISTATS 2012
Bayesian Quadrature for Ratios AISTATS 2012
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap AISTATS 2012
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012
Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012
Using More Data to Speed-up Training Time AISTATS 2012