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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)

A Procrustean Markov Process for Non-Rigid Structure Recovery CVPR 2014 A provable SVD-based algorithm for learning topics in dominant admixture corpus NeurIPS 2014 A Reliable Effective Terascale Linear Learning System JMLR 2014 A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NeurIPS 2014 Articulated Pose Estimation via Over-parametrization and Noise Projection RSS 2014 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014 A* Sampling NeurIPS 2014 A second-order bound with excess losses COLT 2014 A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment NeurIPS 2014 A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014 A Statistical Decision-Theoretic Framework for Social Choice NeurIPS 2014 A statistical model for tensor PCA NeurIPS 2014 A Statistical Perspective on Algorithmic Leveraging ICML 2014 A Stepwise uncertainty reduction approach to constrained global optimization AISTATS 2014 Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) NeurIPS 2014 Asymptotic Accuracy of Distribution-Based Estimation of Latent Variables JMLR 2014 Asymptotically consistent estimation of the number of change points in highly dependent time series ICML 2014 A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System NeurIPS 2014 Asynchronous Anytime Sequential Monte Carlo NeurIPS 2014 Asynchronous Distributed ADMM for Consensus Optimization ICML 2014 A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014 A Truncated EM Approach for Spike-and-Slab Sparse Coding JMLR 2014 A UCB-Like Strategy of Collaborative Filtering ACML 2014 Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning NeurIPS 2014 A Unified Framework for Consistency of Regularized Loss Minimizers ICML 2014