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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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16
133
440
1,353
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2000
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Papers (including subtopics)

Beating Bandits in Gradually Evolving Worlds COLT 2013 Bethe Bounds and Approximating the Global Optimum AISTATS 2013 Better Approximation and Faster Algorithm Using the Proximal Average NeurIPS 2013 Better Rates for Any Adversarial Deterministic MDP ICML 2013 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs CVPR 2013 Blind Calibration in Compressed Sensing using Message Passing Algorithms NeurIPS 2013 Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF) CVPR 2013 Block-Coordinate Frank-Wolfe Optimization for Structural SVMs ICML 2013 Bounded regret in stochastic multi-armed bandits COLT 2013 BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition CVPR 2013 Combinatorial Multi-Armed Bandit: General Framework and Applications ICML 2013 Comment on "Robustness and Regularization of Support Vector Machines" by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009) JMLR 2013 Compressed Hashing CVPR 2013 Compressible Motion Fields CVPR 2013 Computation-Risk Tradeoffs for Covariance-Thresholded Regression ICML 2013 Computing Diffeomorphic Paths for Large Motion Interpolation CVPR 2013 Computing the M Most Probable Modes of a Graphical Model AISTATS 2013 Computing the Stationary Distribution Locally NeurIPS 2013 Consensus Ranking with Signed Permutations AISTATS 2013 Constant Time Weighted Median Filtering for Stereo Matching and Beyond ICCV 2013 Constrained fractional set programs and their application in local clustering and community detection ICML 2013 Continuous Inference in Graphical Models with Polynomial Energies CVPR 2013 Convergence of Monte Carlo Tree Search in Simultaneous Move Games NeurIPS 2013 Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NeurIPS 2013