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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)

{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization AISTATS 2023
Improved Rate of First Order Algorithms for Entropic Optimal Transport AISTATS 2023
Online Learning for Traffic Routing under Unknown Preferences AISTATS 2023
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution AISTATS 2023
A Bregman Divergence View on the Difference-of-Convex Algorithm AISTATS 2023
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback AISTATS 2023
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities AISTATS 2023
Sparse Bayesian optimization AISTATS 2023
ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits AISTATS 2023
Sampling From a Schrödinger Bridge AISTATS 2023
On Universal Portfolios with Continuous Side Information AISTATS 2023
Bayesian Strategy-Proof Facility Location via Robust Estimation AISTATS 2023
Piecewise Stationary Bandits under Risk Criteria AISTATS 2023
Conjugate Gradient Method for Generative Adversarial Networks AISTATS 2023
Learning Sparse Graphon Mean Field Games AISTATS 2023
Mean Parity Fair Regression in RKHS AISTATS 2023
Approximating a RUM from Distributions on $k$-Slates AISTATS 2023
Coordinate Descent for SLOPE AISTATS 2023
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent AISTATS 2023
Neural Simulated Annealing AISTATS 2023
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits AISTATS 2023
Gaussian Processes on Distributions based on Regularized Optimal Transport AISTATS 2023
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles AISTATS 2023
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization AISTATS 2023
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel AISTATS 2023