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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)

Universal low-rank matrix recovery from Pauli measurements NIPS 2011
A Convergence Analysis of Log-Linear Training NIPS 2011
On the accuracy of l1-filtering of signals with block-sparse structure NIPS 2011
Randomized Algorithms for Comparison-based Search NIPS 2011
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NIPS 2011
Distributed Delayed Stochastic Optimization NIPS 2011
Contextual Gaussian Process Bandit Optimization NIPS 2011
Submodular Multi-Label Learning NIPS 2011
Collective Graphical Models NIPS 2011
Sparse Estimation with Structured Dictionaries NIPS 2011
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction NIPS 2011
Greedy Algorithms for Structurally Constrained High Dimensional Problems NIPS 2011
Continuous Rapid Action Value Estimates ACML 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
Approximate Model Selection for Large Scale LSSVM ACML 2011
Contextual Bandit Algorithms with Supervised Learning Guarantees AISTATS 2011
Learning Scale Free Networks by Reweighted $\ell_1$ regularization AISTATS 2011
A conditional game for comparing approximations AISTATS 2011
Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011
Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach AISTATS 2011
Optimal and Robust Price Experimentation: Learning by Lottery AISTATS 2011
A novel greedy algorithm for Nyström approximation AISTATS 2011
Revisiting MAP Estimation, Message Passing and Perfect Graphs AISTATS 2011
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources AISTATS 2011
Fast $b$-matching via Sufficient Selection Belief Propagation AISTATS 2011