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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)

Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums AISTATS 2022
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization AISTATS 2022
How to Learn when Data Gradually Reacts to Your Model AISTATS 2022
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization AISTATS 2022
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients AISTATS 2022
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity AISTATS 2022
An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints AISTATS 2022
On Convergence of Lookahead in Smooth Games AISTATS 2022
Lagrangian manifold Monte Carlo on Monge patches AISTATS 2022
Optimal Accounting of Differential Privacy via Characteristic Function AISTATS 2022
Adversarially Robust Kernel Smoothing AISTATS 2022
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe AISTATS 2022
Kantorovich Mechanism for Pufferfish Privacy AISTATS 2022
Optimal transport with $f$-divergence regularization and generalized Sinkhorn algorithm AISTATS 2022
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers AISTATS 2022
New Coresets for Projective Clustering and Applications AISTATS 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity AISTATS 2022
Fast and accurate optimization on the orthogonal manifold without retraction AISTATS 2022
Efficient Kernelized UCB for Contextual Bandits AISTATS 2022
Acceleration in Distributed Optimization under Similarity AISTATS 2022
Orbital MCMC AISTATS 2022
Learning in Stochastic Monotone Games with Decision-Dependent Data AISTATS 2022
Parameter-Free Online Linear Optimization with Side Information via Universal Coin Betting AISTATS 2022
Learning Competitive Equilibria in Exchange Economies with Bandit Feedback AISTATS 2022
Fair Disaster Containment via Graph-Cut Problems AISTATS 2022