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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
133
440
1,353
1,441
2000
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Papers (including subtopics)

Fully Automatic Balance between Directivity Factor and White Noise Gain for Large-scale Microphone Arrays in Diffuse Noise Fields Interspeech 2022 Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses ICML 2022 Fused Orthogonal Alternating Least Squares for Tensor Clustering NeurIPS 2022 GAGA: Deciphering Age-path of Generalized Self-paced Regularizer NeurIPS 2022 Game Balancing in Dominion: An Approach to Identifying Problematic Game Elements AAAI 2022 Game Design for Better Security of Combination Locks AAAI 2022 Game Redesign in No-regret Game Playing IJCAI 2022 GAR: Generalized Autoregression for Multi-Fidelity Fusion NeurIPS 2022 Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022 General Cutting Planes for Bound-Propagation-Based Neural Network Verification NeurIPS 2022 Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization NeurIPS 2022 Generalized Bayesian quadrature with spectral kernels UAI 2022 Generalized Laplacian Eigenmaps NeurIPS 2022 Generalized Leverage Scores: Geometric Interpretation and Applications ICML 2022 Generalized Sparse Additive Models JMLR 2022 Generalized Stochastic Matching AAAI 2022 Generalized Strategic Classification and the Case of Aligned Incentives ICML 2022 Generalizing Bayesian Optimization with Decision-theoretic Entropies NeurIPS 2022 Generalizing Gaussian Smoothing for Random Search ICML 2022 Generating Temporally-ordered Event Sequences via Event Optimal Transport COLING 2022 Generation of Synthetic Error Data of Verb Order Errors for Swedish NAACL 2022 Generative Modeling with Optimal Transport Maps ICLR 2022 Generic bounds on the approximation error for physics-informed (and) operator learning NeurIPS 2022 Gerrymandering under Uncertain Preferences (Student Abstract) AAAI 2022 Giga-scale Kernel Matrix-Vector Multiplication on GPU NeurIPS 2022