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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)

Reconciling "priors" & "priors" without prejudice? NIPS 2013
Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent NIPS 2013
Minimax Optimal Algorithms for Unconstrained Linear Optimization NIPS 2013
Regret based Robust Solutions for Uncertain Markov Decision Processes NIPS 2013
Linear decision rule as aspiration for simple decision heuristics NIPS 2013
k-Prototype Learning for 3D Rigid Structures NIPS 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NIPS 2013
Robust Data-Driven Dynamic Programming NIPS 2013
Optimization, Learning, and Games with Predictable Sequences NIPS 2013
Adaptive Submodular Maximization in Bandit Setting NIPS 2013
Mixed Optimization for Smooth Functions NIPS 2013
Blind Calibration in Compressed Sensing using Message Passing Algorithms NIPS 2013
Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NIPS 2013
How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal NIPS 2013
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning ACML 2013
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction ACML 2013
Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits ACML 2013
Permutation estimation and minimax rates of identifiability AISTATS 2013
Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013
Consensus Ranking with Signed Permutations AISTATS 2013
Convex Collective Matrix Factorization AISTATS 2013
Computing the M Most Probable Modes of a Graphical Model AISTATS 2013
A simple sketching algorithm for entropy estimation over streaming data AISTATS 2013
Unsupervised Link Selection in Networks AISTATS 2013
DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes AISTATS 2013