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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)

Non-Probability Sampling Network for Stochastic Human Trajectory Prediction CVPR 2022
RAMA: A Rapid Multicut Algorithm on GPU CVPR 2022
Exposure Normalization and Compensation for Multiple-Exposure Correction CVPR 2022
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging CVPR 2022
Unbiased and Efficient Sampling of Dependency Trees EMNLP 2022
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport EMNLP 2022
Chapter Ordering in Novels EMNLP 2022
OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification EMNLP 2022
Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents EMNLP 2022
Keyphrase Generation via Soft and Hard Semantic Corrections EMNLP 2022
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs EMNLP 2022
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences EMNLP 2022
Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions EMNLP 2022
Tractable & Coherent Multi-Document Summarization: Discrete Optimization of Multiple Neural Modeling Streams via Integer Linear Programming EMNLP 2022
Batched Dueling Bandits ICML 2022
Minimum Cost Intervention Design for Causal Effect Identification ICML 2022
RUMs from Head-to-Head Contests ICML 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation ICML 2022
On Last-Iterate Convergence Beyond Zero-Sum Games ICML 2022
AdaGrad Avoids Saddle Points ICML 2022
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees ICML 2022
Online Balanced Experimental Design ICML 2022
Thresholded Lasso Bandit ICML 2022
Gradient Based Clustering ICML 2022