conftrace_

Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

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Papers (including subtopics)

Efficient Bregman Range Search NeurIPS 2009 Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NeurIPS 2009 Efficient Learning using Forward-Backward Splitting NeurIPS 2009 Efficient Recovery of Jointly Sparse Vectors NeurIPS 2009 Ensemble Nystrom Method NeurIPS 2009 Evolutionary Model Type Selection for Global Surrogate Modeling JMLR 2009 Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection JMLR 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Fast Image Deconvolution using Hyper-Laplacian Priors NeurIPS 2009 Fast, smooth and adaptive regression in metric spaces NeurIPS 2009 Fast subtree kernels on graphs NeurIPS 2009 Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NeurIPS 2009 Generalized-ICP RSS 2009 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NeurIPS 2009 Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NeurIPS 2009 Improving Existing Fault Recovery Policies NeurIPS 2009 Information-theoretic lower bounds on the oracle complexity of convex optimization NeurIPS 2009 Inner sphere trees for proximity and penetration queries RSS 2009 Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NeurIPS 2009 Know Thy Neighbour: A Normative Theory of Synaptic Depression NeurIPS 2009 Large scale graph-based SLAM using aerial images as prior information RSS 2009 Lattice Regression NeurIPS 2009 Learning a Small Mixture of Trees NeurIPS 2009 Learning in Markov Random Fields using Tempered Transitions NeurIPS 2009 Learning Linear Ranking Functions for Beam Search with Application to Planning JMLR 2009