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)

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Papers (including subtopics)

On Decomposing the Proximal Map NeurIPS 2013 One-Pass AUC Optimization ICML 2013 Online Coverage by a Tethered Autonomous Mobile Robot in Planar Unknown Environments RSS 2013 Online Kernel Learning with a Near Optimal Sparsity Bound ICML 2013 Online learning in episodic Markovian decision processes by relative entropy policy search NeurIPS 2013 Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions NeurIPS 2013 Online Learning of Dynamic Parameters in Social Networks NeurIPS 2013 Online Learning under Delayed Feedback ICML 2013 Online Learning with Costly Features and Labels NeurIPS 2013 Online Learning with Predictable Sequences COLT 2013 Online Learning with Switching Costs and Other Adaptive Adversaries NeurIPS 2013 Online Robust PCA via Stochastic Optimization NeurIPS 2013 On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization COLT 2013 On the Convergence of Maximum Variance Unfolding JMLR 2013 On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization NeurIPS 2013 Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013 Open Problem: Lower bounds for Boosting with Hadamard Matrices COLT 2013 Opportunistic Strategies for Generalized No-Regret Problems COLT 2013 Optical Flow Estimation Using Laplacian Mesh Energy CVPR 2013 Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality JMLR 2013 Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing RSS 2013 Optimal Orthogonal Basis and Image Assimilation: Motion Modeling ICCV 2013 Optimal Probability Estimation with Applications to Prediction and Classification COLT 2013 Optimal rates for stochastic convex optimization under Tsybakov noise condition ICML 2013 Optimistic Concurrency Control for Distributed Unsupervised Learning NeurIPS 2013