Connor Simpson, Ricardo J. G. B. Campello, Elizabeth Stojanovski Benchmarking of Clustering Validity Measures Revisited https://arxiv.org/abs/2511.05983

Zhitao Li, Yiqiu Dong, Xueying Zeng Sparsity via Hyperpriors: A Theoretical and Algorithmic Study under Empirical Bayes Framework https://arxiv.org/abs/2511.06235

Byoungwoo Park, Juho Lee, Guan-Horng Liu Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces https://arxiv.org/abs/2511.06239

Takashi Hayakawa, Satoshi Asai Fast Riemannian-manifold Hamiltonian Monte Carlo for hierarchical Gaussian-process models https://arxiv.org/abs/2511.06407

Brian B. Avants (Department of Radiology, Medical Imaging University of Virginia, Charlottesville, VA), Nicholas J. Tustison (Department of Radiology, ... Non-Negative Stiefel Approximating Flow: Orthogonalish Matrix Optimization for Interpretable Embeddings https://arxiv.org/abs/2511.06425

Muhammad Shahnawaz, Adeel Safder Bridging Theory and Practice: A Stochastic Learning-Optimization Model for Resilient Automotive Supply Chains https://arxiv.org/abs/2511.06479

Xingchi Li, Xiaochi Liu, Guanxun Li Adaptive Testing for Segmenting Watermarked Texts From Language Models https://arxiv.org/abs/2511.06645

Jing Shang, James Bannon, Benjamin Haibe-Kains, Robert Tibshirani Lassoed Forests: Random Forests with Adaptive Lasso Post-selection https://arxiv.org/abs/2511.06698

Tuan Minh Ha, Binh Thanh Nguyen, Lam Si Tung Ho Simulation-based Methods for Optimal Sampling Design in Systems Biology https://arxiv.org/abs/2511.07197

Anay Mehrotra, Grigoris Velegkas, Xifan Yu, Felix Zhou Language Generation with Infinite Contamination https://arxiv.org/abs/2511.07417

Jordan Eckert, Elvan Ceyhan, Henry Schenck Prototype Selection Using Topological Data Analysis https://arxiv.org/abs/2511.04873

Masahiro Tanaka Estimating Bidirectional Causal Effects with Large Scale Online Kernel Learning https://arxiv.org/abs/2511.05050

Shubhayan Pan, Saptarshi Chakraborty, Debolina Paul, Kushal Bose, Swagatam Das A New Framework for Convex Clustering in Kernel Spaces: Finite Sample Bounds, Consistency and Performance Insights https://arxiv.org/abs/2511.05159

Wenqian Chen, Amanda Howard, Panos Stinis Self-adaptive weighting and sampling for physics-informed neural networks https://arxiv.org/abs/2511.05452

Valentin Mouton, Adrien M\'elot Friction on Demand: A Generative Framework for the Inverse Design of Metainterfaces https://arxiv.org/abs/2511.03735

Aniket Jivani, Cosmin Safta, Beckett Y. Zhou, Xun Huan Bifidelity Karhunen-Lo\`eve Expansion Surrogate with Active Learning for Random Fields https://arxiv.org/abs/2511.03756

Aimee Maurais, Bamdad Hosseini, Youssef Marzouk Learning Paths for Dynamic Measure Transport: A Control Perspective https://arxiv.org/abs/2511.03797

Chiraag Kaushik, Justin Romberg, Vidya Muthukumar A general technique for approximating high-dimensional empirical kernel matrices https://arxiv.org/abs/2511.03892

Aukosh Jagannath, Taj Jones-McCormick, Varnan Sarangian High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes https://arxiv.org/abs/2511.03952

Shinto Eguchi Robust inference using density-powered Stein operators https://arxiv.org/abs/2511.03963

Jungbin Jun, Ilsang Ohn Online Conformal Inference with Retrospective Adjustment for Faster Adaptation to Distribution Shift https://arxiv.org/abs/2511.04275

Giovanni Barbarino, Nicolas Gillis, Subhayan Saha Robustness of Minimum-Volume Nonnegative Matrix Factorization under an Expanded Sufficiently Scattered Condition https://arxiv.org/abs/2511.04291

Frederik M\"obius Rygaard, S{\o}ren Hauberg, Steen Markvorsen Simultaneous Optimization of Geodesics and Fr\'echet Means https://arxiv.org/abs/2511.04301

Sara P\'erez-Vieites, Sahel Iqbal, Simo S\"arkk\"a, Dominik Baumann Online Bayesian Experimental Design for Partially Observed Dynamical Systems https://arxiv.org/abs/2511.04403

Masahiro Kato Riesz Regression As Direct Density Ratio Estimation https://arxiv.org/abs/2511.04568

Zhuo Zhang, Xiong Xiong, Sen Zhang, Yuan Zhao, Xi Yang Physics-Informed Neural Networks and Neural Operators for Parametric PDEs: A Human-AI Collaborative Analysis https://arxiv.org/abs/2511.04576

Giovanni Palla, Sudarshan Babu, Payam Dibaeinia, James D. Pearce, Donghui Li, Aly A. Khan, Theofanis Karaletsos, Jakub M. Tomczak Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models https://arxiv.org/abs/2511.02986

Alexander J. Gates Unifying Information-Theoretic and Pair-Counting Clustering Similarity https://arxiv.org/abs/2511.03000

Katharine E Fisher, Matthew TC Li, Youssef Marzouk, Timo Schorlepp Precise asymptotic analysis of Sobolev training for random feature models https://arxiv.org/abs/2511.03050

Haitao Lin, Boxin Zhao, Mladen Kolar, Chong Liu Provable Accelerated Bayesian Optimization with Knowledge Transfer https://arxiv.org/abs/2511.03125

Zeqi Ye, Qijie Zhu, Molei Tao, Minshuo Chen Provable Separations between Memorization and Generalization in Diffusion Models https://arxiv.org/abs/2511.03202

Md Ashad Alam RKUM: An R Package for Robust Kernel Unsupervised Methods https://arxiv.org/abs/2511.03216

Diego Martinez-Taboada, Tomas Gonzalez, Aaditya Ramdas Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity https://arxiv.org/abs/2511.03606

Md Ahasanul Arafath, Abhijit Kumar Ghosh, Md Rony Ahmed, Sabrin Afroz, Minhazul Hosen, Md Hasan Moon, Md Tanzim Reza, Md Ashad Alam Colorectal Cancer Histopathological Grading using Multi-Scale Federated Learning https://arxiv.org/abs/2511.03693

Jinchao Feng, Charles Kulick, Sui Tang Data-driven Learning of Interaction Laws in Multispecies Particle Systems with Gaussian Processes: Convergence Theory and Applications https://arxiv.org/abs/2511.02053

Dongze Wu, Feng Qiu, Yao Xie DoFlow: Causal Generative Flows for Interventional and Counterfactual Time-Series Prediction https://arxiv.org/abs/2511.02137

Parsa Rangriz Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks https://arxiv.org/abs/2511.02258

Jean-Baptiste Courbot, Hugo Gangloff, Bruno Colicchio A new class of Markov random fields enabling lightweight sampling https://arxiv.org/abs/2511.02373

Junghee Pyeon, Davide Cacciarelli, Kamran Paynabar An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity https://arxiv.org/abs/2511.02452

Deyao Chen, Fran\c{c}ois Cl\'ement, Carola Doerr, Nathan Kirk Optimizing Kernel Discrepancies via Subset Selection https://arxiv.org/abs/2511.02706

Mitchell L. Prevett, Francis K. C. Hui, Zhi Yang Tho, A. H. Welsh, Anton H. Westveld Gradient Boosted Mixed Models: Flexible Joint Estimation of Mean and Variance Components for Clustered Data https://arxiv.org/abs/2511.00217

Krishna Prasath Logakannan, Shridhar Vashishtha, Jacob Hochhalter, Shandian Zhe, Robert M. Kirby A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications https://arxiv.org/abs/2511.00366

Gero Junike, Marco Oesting Accuracy estimation of neural networks by extreme value theory https://arxiv.org/abs/2511.00490

Haoting Zhang, Haoxian Chen, Donglin Zhan, Hanyang Zhao, Henry Lam, Wenpin Tang, David Yao, Zeyu Zheng SOCRATES: Simulation Optimization with Correlated Replicas and Adaptive Trajectory Evaluations https://arxiv.org/abs/2511.00685

Zhexiao Huang, Weihao He, Shutao Deng, Junzhe Chen, Chao Yuan, Hongxin Wang, Changsheng Zhou Perturbations in the Orthogonal Complement Subspace for Efficient Out-of-Distribution Detection https://arxiv.org/abs/2511.00849

Mihailo Stojnic Binary perceptron computational gap -- a parametric fl RDT view https://arxiv.org/abs/2511.01037

Charles C. Margossian, Lawrence K. Saul Generalized Guarantees for Variational Inference in the Presence of Even and Elliptical Symmetry https://arxiv.org/abs/2511.01064

Alex Boyd, Andrew Warrington, Taha Kass-Hout, Parminder Bhatia, Danica Xiao Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes https://arxiv.org/abs/2511.01096

Md Talha Mohsin, Ismail Abdulrashid Few-Shot Multimodal Medical Imaging: A Theoretical Framework https://arxiv.org/abs/2511.01140

Jicong Fan An Interdisciplinary and Cross-Task Review on Missing Data Imputation https://arxiv.org/abs/2511.01196