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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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'25

Papers (including subtopics)

Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization ICCV 2023 Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation ICCV 2023 Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback EMNLP 2023 Enhancing Meta Learning via Multi-Objective Soft Improvement Functions ICLR 2023 Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck CVPR 2023 Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts ICCV 2023 Enhancing Network by Reinforcement Learning and Neural Confined Local Search IJCAI 2023 Enhancing Sharpness-Aware Optimization Through Variance Suppression NeurIPS 2023 Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks AAAI 2023 Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors EMNLP 2023 Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023 Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints ICLR 2023 Entity Disambiguation on a Tight Labeling Budget EMNLP 2023 Entropic characterization of optimal rates for learning Gaussian mixtures COLT 2023 Entropic Fictitious Play for Mean Field Optimization Problem JMLR 2023 Entropic Neural Optimal Transport via Diffusion Processes NeurIPS 2023 Entropic Risk Optimization in Discounted MDPs AISTATS 2023 Entropy-based Training Methods for Scalable Neural Implicit Samplers NeurIPS 2023 Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs NeurIPS 2023 Entropy Regularization for Population Estimation AAAI 2023 Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation ICCV 2023 Epidemic Learning: Boosting Decentralized Learning with Randomized Communication NeurIPS 2023 EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data ICLR 2023 Epistemic Neural Networks NeurIPS 2023 Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation EMNLP 2023