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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)

Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games ICML 2021
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning ICML 2021
Lenient Regret and Good-Action Identification in Gaussian Process Bandits ICML 2021
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021
High-dimensional Experimental Design and Kernel Bandits ICML 2021
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021
Parameter-free Locally Accelerated Conditional Gradients ICML 2021
Optimizing persistent homology based functions ICML 2021
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt$T Regret ICML 2021
Multi-Receiver Online Bayesian Persuasion ICML 2021
Best Model Identification: A Rested Bandit Formulation ICML 2021
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections ICML 2021
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning ICML 2021
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks ICML 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold ICML 2021
Network Inference and Influence Maximization from Samples ICML 2021
Analysis of stochastic Lanczos quadrature for spectrum approximation ICML 2021
Large-Scale Multi-Agent Deep FBSDEs ICML 2021
Problem Dependent View on Structured Thresholding Bandit Problems ICML 2021
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence ICML 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates ICML 2021
Light RUMs ICML 2021
First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021
Riemannian Convex Potential Maps ICML 2021