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Optimization & Theory

43,292 papers (3 classified directly here)

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

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Efficient Certified Training and Robustness Verification of Neural ODEs ICLR 2023 Efficient Classification of Long Documents via State-Space Models EMNLP 2023 Efficient Computation of General Modules for ALC Ontologies IJCAI 2023 Efficient Computation of Rankings from Pairwise Comparisons JMLR 2023 Efficient Converted Spiking Neural Network for 3D and 2D Classification ICCV 2023 Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract) IJCAI 2023 Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation EACL 2023 Efficient Decision-based Black-box Patch Attacks on Video Recognition ICCV 2023 Efficient Diffusion Training via Min-SNR Weighting Strategy ICCV 2023 Efficient Discrete Multi Marginal Optimal Transport Regularization ICLR 2023 Efficient displacement convex optimization with particle gradient descent ICML 2023 Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning AAAI 2023 Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces AAAI 2023 Efficient Dynamic Batch Adaptation (Student Abstract) AAAI 2023 Efficient Encoders for Streaming Sequence Tagging EACL 2023 Efficient Exploration in Continuous-time Model-based Reinforcement Learning NeurIPS 2023 Efficient Exploration in Resource-Restricted Reinforcement Learning AAAI 2023 Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits AAAI 2023 Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring CVPR 2023 Efficient Global Planning in Large MDPs via Stochastic Primal-Dual Optimization ALT 2023 Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract) IJCAI 2023 Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule EMNLP 2023 Efficient Hierarchical Entropy Model for Learned Point Cloud Compression CVPR 2023 Efficient Hyper-parameter Optimization with Cubic Regularization NeurIPS 2023 Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation AISTATS 2023