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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)

A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows AISTATS 2022
Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport AISTATS 2022
Online Page Migration with ML Advice AISTATS 2022
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond AISTATS 2022
Spectral risk-based learning using unbounded losses AISTATS 2022
Grassmann Stein Variational Gradient Descent AISTATS 2022
Nonstochastic Bandits and Experts with Arm-Dependent Delays AISTATS 2022
p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets AISTATS 2022
Non-stationary Online Learning with Memory and Non-stochastic Control AISTATS 2022
Conditional Gradients for the Approximately Vanishing Ideal AISTATS 2022
Efficient Algorithms for Extreme Bandits AISTATS 2022
Rejection sampling from shape-constrained distributions in sublinear time AISTATS 2022
A Single-Timescale Method for Stochastic Bilevel Optimization AISTATS 2022
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion AISTATS 2022
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games AISTATS 2022
Uncertainty Quantification for Bayesian Optimization AISTATS 2022
Fast Rank-1 NMF for Missing Data with KL Divergence AISTATS 2022
Randomized Stochastic Gradient Descent Ascent AISTATS 2022
Super-Acceleration with Cyclical Step-sizes AISTATS 2022
State Dependent Performative Prediction with Stochastic Approximation AISTATS 2022
Reward-Free Policy Space Compression for Reinforcement Learning AISTATS 2022
Many processors, little time: MCMC for partitions via optimal transport couplings AISTATS 2022
Minimax Optimization: The Case of Convex-Submodular AISTATS 2022
Deep Neyman-Scott Processes AISTATS 2022