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Optimization & Theory

43,292 papers (3 classified directly here)

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

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Parallelizing Exploration-Exploitation Tradeoffs in Gaussian Process Bandit Optimization JMLR 2014 Parallel MCMC with Generalized Elliptical Slice Sampling JMLR 2014 Parallel Sampling of HDPs using Sub-Cluster Splits NeurIPS 2014 Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization NeurIPS 2014 Partial Optimality by Pruning for MAP-inference with General Graphical Models CVPR 2014 Partial Symmetry in Polynomial Systems and its Applications in Computer Vision CVPR 2014 Particle Gibbs with Ancestor Sampling JMLR 2014 Partition-wise Linear Models NeurIPS 2014 PatchMatch Based Joint View Selection and Depthmap Estimation CVPR 2014 Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014 Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems JMLR 2014 Persistence-based Structural Recognition CVPR 2014 Persistent Monitoring of Stochastic Spatio-temporal Phenomena with a Small Team of Robots RSS 2014 PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NeurIPS 2014 Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014 Point Matching in the Presence of Outliers in Both Point Sets: A Concave Optimization Approach CVPR 2014 Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data NeurIPS 2014 Policy Evaluation with Temporal Differences: A Survey and Comparison JMLR 2014 Polya-gamma augmentations for factor models ACML 2014 Positive Curvature and Hamiltonian Monte Carlo NeurIPS 2014 Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction CVPR 2014 Prediction and Clustering in Signed Networks: A Local to Global Perspective JMLR 2014 Prediction with Limited Advice and Multiarmed Bandits with Paid Observations ICML 2014 Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NeurIPS 2014 Preserving Modes and Messages via Diverse Particle Selection ICML 2014