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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)

Information Bottleneck for Gaussian Variables JMLR 2005
Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005
Estimating Functions for Blind Separation When Sources Have Variance Dependencies JMLR 2005
Adaptive Online Prediction by Following the Perturbed Leader JMLR 2005
Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005
Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial JMLR 2005
Learning from Examples as an Inverse Problem JMLR 2005
Learning the Kernel with Hyperkernels JMLR 2005
Learning the Kernel Function via Regularization JMLR 2005
Efficient Computation of Gapped Substring Kernels on Large Alphabets JMLR 2005
Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005
On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005
Dynamic Task Assignment in Robot Swarms RSS 2005
Time Complexity of Sensor-Based Vehicle Routing RSS 2005
Auction-Based Multi-Robot Routing RSS 2005
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation JMLR 2004
Large-Sample Learning of Bayesian Networks is NP-Hard JMLR 2004
Randomized Variable Elimination JMLR 2004
Second Order Cone Programming Formulations for Feature Selection JMLR 2004
Path Kernels and Multiplicative Updates JMLR 2003
Concentration Inequalities for the Missing Mass and for Histogram Rule Error JMLR 2003
A Multiscale Framework For Blind Separation of Linearly Mixed Signals JMLR 2003
A Maximum Likelihood Approach to Single-channel Source Separation JMLR 2003
Blind Source Recovery: A Framework in the State Space JMLR 2003
Learning Rates for Q-learning JMLR 2003