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Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

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16
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Papers (including subtopics)

Projected Robust PCA with Application to Smooth Image Recovery JMLR 2022 Projection-free Distributed Online Learning with Sublinear Communication Complexity JMLR 2022 Proportional allocation of indivisible resources under ordinal and uncertain preferences. UAI 2022 Proportional Public Decisions AAAI 2022 Propositional Encodings of Acyclicity and Reachability by Using Vertex Elimination AAAI 2022 ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits ACML 2022 Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out ICML 2022 Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay AAAI 2022 Provable Tensor-Train Format Tensor Completion by Riemannian Optimization JMLR 2022 Provably convergent quasistatic dynamics for mean-field two-player zero-sum games ICLR 2022 Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games AISTATS 2022 Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization ICML 2022 Proximal Optimal Transport Modeling of Population Dynamics AISTATS 2022 PROX-QP: Yet another Quadratic Programming Solver for Robotics and beyond RSS 2022 ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! ICML 2022 Public Signaling in Bayesian Ad Auctions IJCAI 2022 Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States COLT 2022 Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees CVPR 2022 Pushing the limits of fairness impossibility: Who's the fairest of them all? NeurIPS 2022 QCDCL with Cube Learning or Pure Literal Elimination - What is Best? IJCAI 2022 Quadratic metric elicitation for fairness and beyond UAI 2022 Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features ICML 2022 Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants NeurIPS 2022 Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra ICML 2022 Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits NeurIPS 2022