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Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

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Papers (including subtopics)

Cone-Constrained Principal Component Analysis NIPS 2014
Online combinatorial optimization with stochastic decision sets and adversarial losses NIPS 2014
Sparse PCA via Covariance Thresholding NIPS 2014
Online Optimization for Max-Norm Regularization NIPS 2014
Optimizing Energy Production Using Policy Search and Predictive State Representations NIPS 2014
Conditional Swap Regret and Conditional Correlated Equilibrium NIPS 2014
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning NIPS 2014
Difference of Convex Functions Programming for Reinforcement Learning NIPS 2014
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization NIPS 2014
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NIPS 2014
Extreme bandits NIPS 2014
Low Rank Approximation Lower Bounds in Row-Update Streams NIPS 2014
Efficient Minimax Strategies for Square Loss Games NIPS 2014
Efficient Structured Matrix Rank Minimization NIPS 2014
Provable Submodular Minimization using Wolfe's Algorithm NIPS 2014
A Drifting-Games Analysis for Online Learning and Applications to Boosting NIPS 2014
Causal Strategic Inference in Networked Microfinance Economies NIPS 2014
Multivariate Regression with Calibration NIPS 2014
On Communication Cost of Distributed Statistical Estimation and Dimensionality NIPS 2014
Convex Deep Learning via Normalized Kernels NIPS 2014
Stochastic Proximal Gradient Descent with Acceleration Techniques NIPS 2014
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NIPS 2014
Learning Multiple Tasks in Parallel with a Shared Annotator NIPS 2014
Large-Margin Convex Polytope Machine NIPS 2014
Hardness of parameter estimation in graphical models NIPS 2014