arxiv stat.ML
@arxiv-stat-ml.bsky.social
📤 1364
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📝 6759
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@tmaehara.bsky.social
Connor Simpson, Ricardo J. G. B. Campello, Elizabeth Stojanovski Benchmarking of Clustering Validity Measures Revisited
https://arxiv.org/abs/2511.05983
about 8 hours ago
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Zhitao Li, Yiqiu Dong, Xueying Zeng Sparsity via Hyperpriors: A Theoretical and Algorithmic Study under Empirical Bayes Framework
https://arxiv.org/abs/2511.06235
about 8 hours ago
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Byoungwoo Park, Juho Lee, Guan-Horng Liu Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces
https://arxiv.org/abs/2511.06239
about 8 hours ago
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Takashi Hayakawa, Satoshi Asai Fast Riemannian-manifold Hamiltonian Monte Carlo for hierarchical Gaussian-process models
https://arxiv.org/abs/2511.06407
about 8 hours ago
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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
about 9 hours ago
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Muhammad Shahnawaz, Adeel Safder Bridging Theory and Practice: A Stochastic Learning-Optimization Model for Resilient Automotive Supply Chains
https://arxiv.org/abs/2511.06479
about 9 hours ago
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Xingchi Li, Xiaochi Liu, Guanxun Li Adaptive Testing for Segmenting Watermarked Texts From Language Models
https://arxiv.org/abs/2511.06645
about 9 hours ago
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Jing Shang, James Bannon, Benjamin Haibe-Kains, Robert Tibshirani Lassoed Forests: Random Forests with Adaptive Lasso Post-selection
https://arxiv.org/abs/2511.06698
about 10 hours ago
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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
about 10 hours ago
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Anay Mehrotra, Grigoris Velegkas, Xifan Yu, Felix Zhou Language Generation with Infinite Contamination
https://arxiv.org/abs/2511.07417
about 10 hours ago
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Jordan Eckert, Elvan Ceyhan, Henry Schenck Prototype Selection Using Topological Data Analysis
https://arxiv.org/abs/2511.04873
1 day ago
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Masahiro Tanaka Estimating Bidirectional Causal Effects with Large Scale Online Kernel Learning
https://arxiv.org/abs/2511.05050
1 day ago
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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
1 day ago
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Wenqian Chen, Amanda Howard, Panos Stinis Self-adaptive weighting and sampling for physics-informed neural networks
https://arxiv.org/abs/2511.05452
1 day ago
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Valentin Mouton, Adrien M\'elot Friction on Demand: A Generative Framework for the Inverse Design of Metainterfaces
https://arxiv.org/abs/2511.03735
4 days ago
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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
4 days ago
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Aimee Maurais, Bamdad Hosseini, Youssef Marzouk Learning Paths for Dynamic Measure Transport: A Control Perspective
https://arxiv.org/abs/2511.03797
4 days ago
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Chiraag Kaushik, Justin Romberg, Vidya Muthukumar A general technique for approximating high-dimensional empirical kernel matrices
https://arxiv.org/abs/2511.03892
4 days ago
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Aukosh Jagannath, Taj Jones-McCormick, Varnan Sarangian High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes
https://arxiv.org/abs/2511.03952
4 days ago
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Shinto Eguchi Robust inference using density-powered Stein operators
https://arxiv.org/abs/2511.03963
4 days ago
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Jungbin Jun, Ilsang Ohn Online Conformal Inference with Retrospective Adjustment for Faster Adaptation to Distribution Shift
https://arxiv.org/abs/2511.04275
4 days ago
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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
4 days ago
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Frederik M\"obius Rygaard, S{\o}ren Hauberg, Steen Markvorsen Simultaneous Optimization of Geodesics and Fr\'echet Means
https://arxiv.org/abs/2511.04301
4 days ago
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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
4 days ago
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Masahiro Kato Riesz Regression As Direct Density Ratio Estimation
https://arxiv.org/abs/2511.04568
4 days ago
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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
4 days ago
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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
5 days ago
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Alexander J. Gates Unifying Information-Theoretic and Pair-Counting Clustering Similarity
https://arxiv.org/abs/2511.03000
5 days ago
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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
5 days ago
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Haitao Lin, Boxin Zhao, Mladen Kolar, Chong Liu Provable Accelerated Bayesian Optimization with Knowledge Transfer
https://arxiv.org/abs/2511.03125
5 days ago
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Zeqi Ye, Qijie Zhu, Molei Tao, Minshuo Chen Provable Separations between Memorization and Generalization in Diffusion Models
https://arxiv.org/abs/2511.03202
5 days ago
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Md Ashad Alam RKUM: An R Package for Robust Kernel Unsupervised Methods
https://arxiv.org/abs/2511.03216
5 days ago
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Diego Martinez-Taboada, Tomas Gonzalez, Aaditya Ramdas Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity
https://arxiv.org/abs/2511.03606
5 days ago
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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
5 days ago
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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
6 days ago
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Dongze Wu, Feng Qiu, Yao Xie DoFlow: Causal Generative Flows for Interventional and Counterfactual Time-Series Prediction
https://arxiv.org/abs/2511.02137
6 days ago
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Parsa Rangriz Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks
https://arxiv.org/abs/2511.02258
6 days ago
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Jean-Baptiste Courbot, Hugo Gangloff, Bruno Colicchio A new class of Markov random fields enabling lightweight sampling
https://arxiv.org/abs/2511.02373
6 days ago
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Junghee Pyeon, Davide Cacciarelli, Kamran Paynabar An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity
https://arxiv.org/abs/2511.02452
6 days ago
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Deyao Chen, Fran\c{c}ois Cl\'ement, Carola Doerr, Nathan Kirk Optimizing Kernel Discrepancies via Subset Selection
https://arxiv.org/abs/2511.02706
6 days ago
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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
7 days ago
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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
7 days ago
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Gero Junike, Marco Oesting Accuracy estimation of neural networks by extreme value theory
https://arxiv.org/abs/2511.00490
7 days ago
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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
7 days ago
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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
7 days ago
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Mihailo Stojnic Binary perceptron computational gap -- a parametric fl RDT view
https://arxiv.org/abs/2511.01037
7 days ago
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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
7 days ago
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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
7 days ago
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Md Talha Mohsin, Ismail Abdulrashid Few-Shot Multimodal Medical Imaging: A Theoretical Framework
https://arxiv.org/abs/2511.01140
7 days ago
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Jicong Fan An Interdisciplinary and Cross-Task Review on Missing Data Imputation
https://arxiv.org/abs/2511.01196
7 days ago
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