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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)

Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss NIPS 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection NIPS 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning NIPS 2022
Online Frank-Wolfe with Arbitrary Delays NIPS 2022
Lipschitz Bandits with Batched Feedback NIPS 2022
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets NIPS 2022
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems NIPS 2022
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization NIPS 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces NIPS 2022
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance NIPS 2022
Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions NIPS 2022
Algorithms with Prediction Portfolios NIPS 2022
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret NIPS 2022
Optimal and Adaptive Monteiro-Svaiter Acceleration NIPS 2022
Constrained Langevin Algorithms with L-mixing External Random Variables NIPS 2022
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget NIPS 2022
Dynamic Learning in Large Matching Markets NIPS 2022
Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets NIPS 2022
Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions NIPS 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies NIPS 2022
Fixed-Distance Hamiltonian Monte Carlo NIPS 2022
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions NIPS 2022
Score-Based Diffusion meets Annealed Importance Sampling NIPS 2022
An Analysis of Ensemble Sampling NIPS 2022
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms NIPS 2022