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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)

Principal Component Analysis and Higher Correlations for Distributed Data COLT 2014 Probabilistic Differential Dynamic Programming NeurIPS 2014 Probabilistic low-rank matrix completion on finite alphabets NeurIPS 2014 Probabilistic ODE Solvers with Runge-Kutta Means NeurIPS 2014 Probabilistic Partial Canonical Correlation Analysis ICML 2014 Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014 Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014 Product Sparse Coding CVPR 2014 Programming by Feedback ICML 2014 Projecting Markov Random Field Parameters for Fast Mixing NeurIPS 2014 Provable Bounds for Learning Some Deep Representations ICML 2014 Provable Submodular Minimization using Wolfe's Algorithm NeurIPS 2014 Provable Tensor Factorization with Missing Data NeurIPS 2014 Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators NeurIPS 2014 Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions ACML 2014 Pursuit-Evasion Without Regret, with an Application to Trading ICML 2014 Putting MRFs on a Tensor Train ICML 2014 pystruct - Learning Structured Prediction in Python JMLR 2014 Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NeurIPS 2014 Quasi Newton Temporal Difference Learning ACML 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NeurIPS 2014 Random Bayesian networks with bounded indegree AISTATS 2014 Randomized Max-Margin Compositions for Visual Recognition CVPR 2014 Randomized Nonlinear Component Analysis ICML 2014