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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)

Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NIPS 2012
Query Complexity of Derivative-Free Optimization NIPS 2012
Communication-Efficient Algorithms for Statistical Optimization NIPS 2012
Selecting Diverse Features via Spectral Regularization NIPS 2012
The representer theorem for Hilbert spaces: a necessary and sufficient condition NIPS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
Online allocation and homogeneous partitioning for piecewise constant mean-approximation NIPS 2012
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NIPS 2012
Matrix reconstruction with the local max norm NIPS 2012
Near-optimal Differentially Private Principal Components NIPS 2012
Perceptron Learning of SAT NIPS 2012
A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm ACML 2012
QBoost: Large Scale Classifier Training withAdiabatic Quantum Optimization ACML 2012
Multi-objective Monte-Carlo Tree Search ACML 2012
Online Rank Aggregation ACML 2012
Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits AISTATS 2012
Memory-efficient inference in dynamic graphical models using multiple cores AISTATS 2012
A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing AISTATS 2012
A Family of MCMC Methods on Implicitly Defined Manifolds AISTATS 2012
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit AISTATS 2012
Structured Sparse Canonical Correlation Analysis AISTATS 2012
There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012
Deterministic Annealing for Semi-Supervised Structured Output Learning AISTATS 2012
Generic Methods for Optimization-Based Modeling AISTATS 2012