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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)

Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies EMNLP 2022 Top K Ranking for Multi-Armed Bandit with Noisy Evaluations AISTATS 2022 Top-label calibration and multiclass-to-binary reductions ICLR 2022 Topology-aware Generalization of Decentralized SGD ICML 2022 Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow CVPR 2022 TopWORDS-Seg: Simultaneous Text Segmentation and Word Discovery for Open-Domain Chinese Texts via Bayesian Inference ACL 2022 To Smooth or Not? When Label Smoothing Meets Noisy Labels ICML 2022 Total Energy Shaping with Neural Interconnection and Damping Assignment - Passivity Based Control L4DC 2022 Total Stability of SVMs and Localized SVMs JMLR 2022 Total Variation Optimization Layers for Computer Vision CVPR 2022 To update or not to update? Neurons at equilibrium in deep models NeurIPS 2022 Toward a New Science of Common Sense AAAI 2022 Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language Interspeech 2022 Toward Efficient Robust Training against Union of ℓ_p Threat Models NeurIPS 2022 Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis NeurIPS 2022 Toward Instance-Optimal State Certification With Incoherent Measurements COLT 2022 Toward learning human-aligned cross-domain robust models by countering misaligned features UAI 2022 Toward More Effective Human Evaluation for Machine Translation ACL 2022 Toward Physically Realizable Quantum Neural Networks AAAI 2022 Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples ACL 2022 Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise AISTATS 2022 Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022 Towards a Robust Differentiable Architecture Search Under Label Noise WACV 2022 Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo COLT 2022 Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NeurIPS 2022