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Papers

Publications linked to models, labs and benchmarks. Authors, venues and abstracts come from arXiv and publisher pages; model links come from model cards citing the paper.

20 papers

Papers
TitleAuthorsOrganizationPublishedIntroduces Models (and artifacts) whose model card or documentation cites this paper — inbound described_by relations.DatasetsBenchmarksCode
Coupled Calibration and Learning: Mitigating Teacher Bias in LLM Distillation without Target-Domain Reward FeedbackarXiv:2609.17474cs.LGDavid Simchi-Levi, Haichen Hu, Yuheng Zhang16 Sept 2026
Conformal Policy Learning with Distribution-Free Safety GuaranteesarXiv:2609.17296stat.MENaoki Egami, Ying Jin16 Sept 2026
Nonnegative matrix factorizations and related compositional models: Equivalence, identifiability, and an application on the grain-size analysis of sedimentsarXiv:2512.22282stat.MLMaarten A. Prins, Peter G. M. van der Heijden, Qianqian Qi16 Sept 2026
Universal Feature Selection with Noisy Observations and Weak Symmetry ConditionsarXiv:2605.09396cs.ITChina), Dier Tang (Department of Mathematics, Guangyue Han (Department of Mathematics +216 Sept 2026
Algorithms for adaptive and heteroskedastic linear regression at the computational thresholdarXiv:2608.18402math.STSpencer Compton, Tselil Schramm16 Sept 2026
Retrieval-Guided Fine-Tuning as Noisy Estimation: Risk bounds and Architectural AnalysisarXiv:2609.14485cs.LGBhargav Lad, Yifan Hao15 Sept 2026
The geometry of AI validation: From structural blindness to reusable auditsarXiv:2608.21496cs.LGRicardo Fitas15 Sept 2026
Stochastic Gradient Descent for Operator Learning in Hilbert Spaces: Convergence Rates and Minimax Lower BoundsarXiv:2402.04691stat.MLJia-Qi Yang, Lei Shi15 Sept 2026
Neural Operators for Nonlinear Functionals on RKHSarXiv:2403.12187stat.MLGuang Cheng, Namjoon Suh, Tian-Yi Zhou +115 Sept 2026
Basic Inequalities for First-Order Optimization with Applications to Statistical Risk AnalysisarXiv:2512.24999math.STKangjie Zhou, Matus Telgarsky, Ryan J. Tibshirani +115 Sept 2026
Inference for Newton Methods with Accelerated Sketch-and-Project via Random ScalingarXiv:2609.12421stat.MLElizaveta Rebrova, Micha{\l} Derezi\'{n}ski, Sen Na +114 Sept 2026
Tight Sampling Complexity with stochastic gradient oracles in Fixed DimensionsarXiv:2609.12590math.STWeiming Ou, Xiao Wang14 Sept 2026
The General Theory of Localization MethodsarXiv:2605.20635cs.LGCongwei Song14 Sept 2026
A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian LikelihoodsarXiv:2504.05431stat.MEBani K. Mallick, Debdeep Pati, Pritam Dey +114 Sept 2026
Can SGD Select Good Fishermen? Local Convergence under Self-Selection BiasesarXiv:2504.07133stat.MLAlkis Kalavasis, Anay Mehrotra, Felix Zhou14 Sept 2026
On Universality of Non-Separable Approximate Message Passing AlgorithmsarXiv:2506.23010math.STMax Lovig, Tianhao Wang, Zhou Fan14 Sept 2026
Identifiability of Nonnegative Tensor Decompositions via Positive ScatteringarXiv:2609.11606stat.MLHaoming Wang, Ming Yuan11 Sept 2026
Statistical analysis of Inverse Entropy-regularized Reinforcement LearningarXiv:2512.06956stat.MLDenis Belomestny, Alexey Naumov, Artemy Rubtsov +111 Sept 2026
Statistically Valid Post-Training Hyperparameter Selection: From Tuning to GuaranteesarXiv:2606.25601stat.MLAmirmohammad Farzaneh, Osvaldo Simeone11 Sept 2026
The Zero Pattern of a Design Matrix Drives Multiple Descent in Over-parameterized RegressionarXiv:2607.24041math.STKevin Han Huang, Haoyu Ye, Somak Laha +111 Sept 2026

20 results

Author lists and categories are copied from the paper's own metadata (arXiv, publisher). Linked models, datasets, benchmarks and code come from stated relations only; a dash means no source stated one.