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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

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

Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement ICML 2023 Greed is good: correspondence recovery for unlabeled linear regression UAI 2023 Greedy Poisson Rejection Sampling NeurIPS 2023 Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing NeurIPS 2023 GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System IJCAI 2023 GreenKGC: A Lightweight Knowledge Graph Completion Method ACL 2023 GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds ICCV 2023 GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models EACL 2023 Gromov-Wasserstein Autoencoders ICLR 2023 Grounding Neural Inference with Satisfiability Modulo Theories NeurIPS 2023 Grounding the Lexical Substitution Task in Entailment ACL 2023 Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment ICCV 2023 Group SLOPE Penalized Low-Rank Tensor Regression JMLR 2023 Growing a Brain with Sparsity-Inducing Generation for Continual Learning ICCV 2023 Guided Deep Kernel Learning UAI 2023 Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport ACL 2023 Guiding Image Captioning Models Toward More Specific Captions ICCV 2023 Guiding Text-to-Text Privatization by Syntax ACL 2023 H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training NeurIPS 2023 HAD-ANC: A Hybrid System Comprising an Adaptive Filter and Deep Neural Networks for Active Noise Control Interspeech 2023 Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation EMNLP 2023 HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks AAAI 2023 HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network NSDI 2023 Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition NeurIPS 2023 Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice Problems COLT 2023