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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)

Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent ICML 2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training ICML 2022
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy ICML 2022
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction ICML 2022
Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots ICML 2022
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits ICML 2022
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games ICML 2022
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization ICML 2022
Multi-slots Online Matching with High Entropy ICML 2022
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning ICML 2022
Nonparametric Involutive Markov Chain Monte Carlo ICML 2022
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach ICML 2022
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees ICML 2022
Decision-Focused Learning: Through the Lens of Learning to Rank ICML 2022
Nested Bandits ICML 2022
Closed-Form Diffeomorphic Transformations for Time Series Alignment ICML 2022
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features ICML 2022
Stochastic Rising Bandits ICML 2022
Distribution Regression with Sliced Wasserstein Kernels ICML 2022
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! ICML 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions ICML 2022
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity ICML 2022
Feature and Parameter Selection in Stochastic Linear Bandits ICML 2022
Universal and data-adaptive algorithms for model selection in linear contextual bandits ICML 2022
Tight and Robust Private Mean Estimation with Few Users ICML 2022