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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)

Optimal Neural Codes for Control and Estimation NIPS 2014
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets NIPS 2014
Parallel Feature Selection Inspired by Group Testing NIPS 2014
Learning to Optimize via Information-Directed Sampling NIPS 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NIPS 2014
A* Sampling NIPS 2014
A Boosting Framework on Grounds of Online Learning NIPS 2014
Optimal decision-making with time-varying evidence reliability NIPS 2014
Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit NIPS 2014
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights NIPS 2014
Clustering from Labels and Time-Varying Graphs NIPS 2014
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NIPS 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
Deterministic Symmetric Positive Semidefinite Matrix Completion NIPS 2014
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials NIPS 2014
Robust Tensor Decomposition with Gross Corruption NIPS 2014
Accelerated Mini-batch Randomized Block Coordinate Descent Method NIPS 2014
Fast and Robust Least Squares Estimation in Corrupted Linear Models NIPS 2014
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NIPS 2014
Learning Mixed Multinomial Logit Model from Ordinal Data NIPS 2014
DFacTo: Distributed Factorization of Tensors NIPS 2014
Simple MAP Inference via Low-Rank Relaxations NIPS 2014
Extremal Mechanisms for Local Differential Privacy NIPS 2014
Streaming, Memory Limited Algorithms for Community Detection NIPS 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014