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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)

Kernel regression in high dimensions: Refined analysis beyond double descent AISTATS 2021 Kernel Stein Discrepancy Descent ICML 2021 Kernel Thinning COLT 2021 Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees IJCAI 2021 KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning ICML 2021 Landscape analysis of an improved power method for tensor decomposition NeurIPS 2021 Langevin Monte Carlo: random coordinate descent and variance reduction JMLR 2021 Large-Scale Learning with Fourier Features and Tensor Decompositions NeurIPS 2021 Large-Scale Multi-Agent Deep FBSDEs ICML 2021 Large-Scale Wasserstein Gradient Flows NeurIPS 2021 Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes AISTATS 2021 Last-Iterate Convergence Rates for Min-Max Optimization: Convergence of Hamiltonian Gradient Descent and Consensus Optimization ALT 2021 Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games ALT 2021 Lattice partition recovery with dyadic CART NeurIPS 2021 Lazy OCO: Online Convex Optimization on a Switching Budget COLT 2021 LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints AAAI 2021 Learn2Hop: Learned Optimization on Rough Landscapes ICML 2021 Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection NeurIPS 2021 Learner-Private Convex Optimization ICML 2021 Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning ACML 2021 Learning a Gradient-free Riemannian Optimizer on Tangent Spaces AAAI 2021 Learning a Latent Simplex in Input Sparsity Time ICLR 2021 Learning Approximate Forward Reachable Sets Using Separating Kernels L4DC 2021 Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds NeurIPS 2021 Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility AAAI 2021