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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)

Federated Learning with Compression: Unified Analysis and Sharp Guarantees AISTATS 2021
Reinforcement Learning for Mean Field Games with Strategic Complementarities AISTATS 2021
Shuffled Model of Differential Privacy in Federated Learning AISTATS 2021
Linear Models are Robust Optimal Under Strategic Behavior AISTATS 2021
Continuum-Armed Bandits: A Function Space Perspective AISTATS 2021
Random Coordinate Underdamped Langevin Monte Carlo AISTATS 2021
Approximation Algorithms for Orthogonal Non-negative Matrix Factorization AISTATS 2021
Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case AISTATS 2021
Mirror Descent View for Neural Network Quantization AISTATS 2021
Power of Hints for Online Learning with Movement Costs AISTATS 2021
Stochastic Bandits with Linear Constraints AISTATS 2021
An Optimal Reduction of TV-Denoising to Adaptive Online Learning AISTATS 2021
Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints AISTATS 2021
Federated Multi-armed Bandits with Personalization AISTATS 2021
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression AISTATS 2021
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms AISTATS 2021
Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression AISTATS 2021
Faster Kernel Interpolation for Gaussian Processes AISTATS 2021
Training a Single Bandit Arm AISTATS 2021
Multi-Armed Bandits with Cost Subsidy AISTATS 2021
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances AISTATS 2021
Fast and Smooth Interpolation on Wasserstein Space AISTATS 2021
Efficient Balanced Treatment Assignments for Experimentation AISTATS 2021
Experimental Design for Regret Minimization in Linear Bandits AISTATS 2021
TenIPS: Inverse Propensity Sampling for Tensor Completion AISTATS 2021