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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)

Solving lp-norm regularization with tensor kernels AISTATS 2018
Multi-objective Contextual Bandit Problem with Similarity Information AISTATS 2018
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control AISTATS 2018
Competing with Automata-based Expert Sequences AISTATS 2018
Combinatorial Semi-Bandits with Knapsacks AISTATS 2018
Structured Optimal Transport AISTATS 2018
Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018
Adaptive Sampling for Coarse Ranking AISTATS 2018
On denoising modulo 1 samples of a function AISTATS 2018
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap AISTATS 2018
Online Continuous Submodular Maximization AISTATS 2018
Spectral Algorithms for Computing Fair Support Vector Machines AISTATS 2018
Labeled Graph Clustering via Projected Gradient Descent AISTATS 2018
HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step AISTATS 2018
Derivative Free Optimization Via Repeated Classification AISTATS 2018
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments AISTATS 2018
A Unified Dynamic Approach to Sparse Model Selection AISTATS 2018
Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence ALT 2018
{Multi-Player Bandits Revisited} ALT 2018
Adaptive Group Testing Algorithms to Estimate the Number of Defectives ALT 2018
Sparsity, variance and curvature in multi-armed bandits ALT 2018
Bandit Regret Scaling with the Effective Loss Range ALT 2018
Coordinate Descent Faceoff: Primal or Dual? ALT 2018
A Better Resource Allocation Algorithm with Semi-Bandit Feedback ALT 2018
Clustering Algorithms for the Centralized and Local Models ALT 2018