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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)

DisWOT: Student Architecture Search for Distillation WithOut Training CVPR 2023 Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings EMNLP 2023 Divergence-Based Domain Transferability for Zero-Shot Classification EACL 2023 Diverse and Expressive Speech Prosody Prediction with Denoising Diffusion Probabilistic Model Interspeech 2023 Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference ICML 2023 Diversity-enhanced probabilistic ensemble for uncertainty estimation UAI 2023 Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions ICML 2023 Divide-and-Conquer Fusion JMLR 2023 DLKoopman: A deep learning software package for Koopman theory L4DC 2023 DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023 Do Bayesian Neural Networks Need To Be Fully Stochastic? AISTATS 2023 Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023? ACL 2023 Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization ACL 2023 Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning? EACL 2023 Does a Neural Network Really Encode Symbolic Concepts? ICML 2023 Does a sparse ReLU network training problem always admit an optimum ? NeurIPS 2023 Does Continual Learning Equally Forget All Parameters? ICML 2023 Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework NeurIPS 2023 Does It Pay to Optimize AUC? AAAI 2023 Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023 Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis. UAI 2023 Does Sparsity Help in Learning Misspecified Linear Bandits? ICML 2023 DoG is SGD’s Best Friend: A Parameter-Free Dynamic Step Size Schedule ICML 2023 Do Machine Learning Models Learn Statistical Rules Inferred from Data? ICML 2023 Domain Adaptation under Missingness Shift AISTATS 2023