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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)

The Time-Marginalized Coalescent Prior for Hierarchical Clustering NeurIPS 2012 The variational hierarchical EM algorithm for clustering hidden Markov models NeurIPS 2012 Tight Bounds on Profile Redundancy and Distinguishability NeurIPS 2012 Tight Bounds on Proper Equivalence Query Learning of DNF COLT 2012 Time-Optimal Trajectory Generation for Path Following with Bounded Acceleration and Velocity RSS 2012 Topology Constraints in Graphical Models NeurIPS 2012 Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences COLT 2012 Towards a learning-theoretic analysis of spike-timing dependent plasticity NeurIPS 2012 Towards Minimax Policies for Online Linear Optimization with Bandit Feedback COLT 2012 Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012 Tractable Objectives for Robust Policy Optimization NeurIPS 2012 Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints JMLR 2012 Training sparse natural image models with a fast Gibbs sampler of an extended state space NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012 Transelliptical Component Analysis NeurIPS 2012 Transelliptical Graphical Models NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Truncation-free Online Variational Inference for Bayesian Nonparametric Models NeurIPS 2012 Unified Algorithms for Online Learning and Competitive Analysis COLT 2012 Using More Data to Speed-up Training Time AISTATS 2012 Value Pursuit Iteration NeurIPS 2012 Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality JMLR 2012 Variational Bayesian Matching ACML 2012 Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012 Variational Inference for Crowdsourcing NeurIPS 2012