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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)

Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension AISTATS 2013 Predictive PAC Learning and Process Decompositions NeurIPS 2013 Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes ACML 2013 Principal Component Analysis on non-Gaussian Dependent Data ICML 2013 Prior-free and prior-dependent regret bounds for Thompson Sampling NeurIPS 2013 Probabilistic Elastic Matching for Pose Variant Face Verification CVPR 2013 Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NeurIPS 2013 Probabilistic Movement Primitives NeurIPS 2013 Probabilistic Principal Geodesic Analysis NeurIPS 2013 Procrustean Normal Distribution for Non-rigid Structure from Motion CVPR 2013 Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation ICCV 2013 Projected Natural Actor-Critic NeurIPS 2013 Projecting Ising Model Parameters for Fast Mixing NeurIPS 2013 Proportion Priors for Image Sequence Segmentation ICCV 2013 Provable Subspace Clustering: When LRR meets SSC NeurIPS 2013 Q-learning for history-based reinforcement learning ACML 2013 q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NeurIPS 2013 Quadruplet-Wise Image Similarity Learning ICCV 2013 Quantile Regression for Large-scale Applications ICML 2013 QuantMiner for Mining Quantitative Association Rules JMLR 2013 Quasi-Newton Method: A New Direction JMLR 2013 Quickly Boosting Decision Trees – Pruning Underachieving Features Early ICML 2013 Random Grids: Fast Approximate Nearest Neighbors and Range Searching for Image Search ICCV 2013 Randomized Ensemble Tracking ICCV 2013 Randomized partition trees for exact nearest neighbor search COLT 2013