We gratefully acknowledge support from
the Simons Foundation and member institutions.

Statistics

Authors and titles for recent submissions, skipping first 75

[ total of 374 entries: 1-100 | 76-175 | 176-275 | 276-374 ]
[ showing 100 entries per page: fewer | more | all ]

Thu, 30 May 2024 (continued, showing last 36 of 56 entries)

[76]  arXiv:2405.18828 [pdf, other]
Title: CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration
Authors: Sophie Jaffard (LJAD), Samuel Vaiter (CNRS, LJAD), Patricia Reynaud-Bouret (CNRS, LJAD)
Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)
[77]  arXiv:2405.18795 [pdf, other]
Title: Federated Q-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost
Authors: Zhong Zheng, Haochen Zhang, Lingzhou Xue
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[78]  arXiv:2405.18722 [pdf, other]
Title: Adaptive and Efficient Learning with Blockwise Missing and Semi-Supervised Data
Authors: Yiming Li, Xuehan Yang, Ying Wei, Molei Liu
Subjects: Methodology (stat.ME)
[79]  arXiv:2405.18686 [pdf, other]
Title: Rejection via Learning Density Ratios
Authors: Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[80]  arXiv:2405.18601 [pdf, other]
Title: From Conformal Predictions to Confidence Regions
Authors: Charles Guille-Escuret, Eugene Ndiaye
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[81]  arXiv:2405.18597 [pdf, other]
Title: Causal inference in the closed-loop: marginal structural models for sequential excursion effects
Authors: Alexander W. Levis, Gabriel Loewinger, Francisco Pereira
Comments: 19 pages, 9 figures
Subjects: Methodology (stat.ME); Applications (stat.AP)
[82]  arXiv:2405.18590 [pdf, other]
Title: A Margin-based Multiclass Generalization Bound via Geometric Complexity
Authors: Michael Munn, Benoit Dherin, Javier Gonzalvo
Comments: Accepted as an ICML 2023 workshop paper (Topology, Algebra and Geometry in Machine Learning)
Journal-ref: Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), PMLR 221:189-205, 2023
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[83]  arXiv:2405.18562 [pdf, other]
Title: Covariance Operator Estimation via Adaptive Thresholding
Authors: Omar Al-Ghattas, Daniel Sanz-Alonso
Comments: 38 pages, 5 figures
Subjects: Statistics Theory (math.ST); Probability (math.PR)
[84]  arXiv:2405.18499 [pdf, other]
Title: Large Margin Discriminative Loss for Classification
Authors: Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang, Reda Chhaibi, Serge Gratton, Thierry Giaccone
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[85]  arXiv:2405.19320 (cross-list from cs.LG) [pdf, other]
Title: Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
Authors: Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[86]  arXiv:2405.19317 (cross-list from cs.LG) [pdf, other]
Title: Adaptive Generalized Neyman Allocation: Local Asymptotic Minimax Optimal Best Arm Identification
Authors: Masahiro Kato
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Econometrics (econ.EM); Methodology (stat.ME); Machine Learning (stat.ML)
[87]  arXiv:2405.19225 (cross-list from cs.LG) [pdf, other]
Title: Synthetic Potential Outcomes for Mixtures of Treatment Effects
Authors: Bijan Mazaheri, Chandler Squires, Caroline Uhler
Subjects: Machine Learning (cs.LG); Econometrics (econ.EM); Methodology (stat.ME)
[88]  arXiv:2405.19175 (cross-list from cs.LG) [pdf, ps, other]
Title: Online Linear Regression in Dynamic Environments via Discounting
Authors: Andrew Jacobsen, Ashok Cutkosky
Comments: ICML 2024, 38 pages
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[89]  arXiv:2405.19098 (cross-list from cs.LG) [pdf, other]
Title: Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
Authors: Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu
Comments: ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)
[90]  arXiv:2405.19059 (cross-list from cs.LG) [pdf, other]
Title: Robust Entropy Search for Safe Efficient Bayesian Optimization
Authors: Dorina Weichert, Alexander Kister, Patrick Link, Sebastian Houben, Gunar Ernis
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[91]  arXiv:2405.18987 (cross-list from econ.EM) [pdf, other]
Title: Transmission Channel Analysis in Dynamic Models
Authors: Enrico Wegner, Lenard Lieb, Stephan Smeekes, Ines Wilms
Subjects: Econometrics (econ.EM); Methodology (stat.ME)
[92]  arXiv:2405.18979 (cross-list from cs.LG) [pdf, other]
Title: MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
Authors: Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
Comments: The three first authors contributed equally
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[93]  arXiv:2405.18902 (cross-list from cs.LG) [pdf, other]
Title: A Causal Framework for Evaluating Deferring Systems
Authors: Filippo Palomba, Andrea Pugnana, José Manuel Alvarez, Salvatore Ruggieri
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[94]  arXiv:2405.18886 (cross-list from cs.LG) [pdf, ps, other]
Title: Compressing Large Language Models using Low Rank and Low Precision Decomposition
Authors: Rajarshi Saha, Naomi Sagan, Varun Srivastava, Andrea J. Goldsmith, Mert Pilanci
Comments: 30 pages, 9 figures, 7 tables
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Optimization and Control (math.OC); Machine Learning (stat.ML)
[95]  arXiv:2405.18782 (cross-list from eess.IV) [pdf, other]
Title: Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
Authors: Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)
[96]  arXiv:2405.18781 (cross-list from cs.LG) [pdf, other]
Title: On the Role of Attention Masks and LayerNorm in Transformers
Authors: Xinyi Wu, Amir Ajorlou, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[97]  arXiv:2405.18779 (cross-list from q-bio.QM) [pdf, other]
Title: Categorization of 31 computational methods to detect spatially variable genes from spatially resolved transcriptomics data
Authors: Guanao Yan, Shuo Harper Hua, Jingyi Jessica Li
Subjects: Quantitative Methods (q-bio.QM); Applications (stat.AP)
[98]  arXiv:2405.18756 (cross-list from cs.LG) [pdf, other]
Title: Provable Contrastive Continual Learning
Authors: Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang
Comments: Accepted by ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Applications (stat.AP); Machine Learning (stat.ML)
[99]  arXiv:2405.18671 (cross-list from cs.LG) [pdf, other]
Title: Watermarking Counterfactual Explanations
Authors: Hangzhi Guo, Amulya Yadav
Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Methodology (stat.ME)
[100]  arXiv:2405.18634 (cross-list from cs.LG) [pdf, other]
Title: A Theoretical Understanding of Self-Correction through In-context Alignment
Authors: Yifei Wang, Yuyang Wu, Zeming Wei, Stefanie Jegelka, Yisen Wang
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)
[101]  arXiv:2405.18621 (cross-list from cs.LG) [pdf, other]
Title: Multi-Armed Bandits with Network Interference
Authors: Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse
Subjects: Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)
[102]  arXiv:2405.18577 (cross-list from math.OC) [pdf, other]
Title: Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
Authors: Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)
[103]  arXiv:2405.18563 (cross-list from cs.LG) [pdf, other]
Title: Counterfactual Explanations for Multivariate Time-Series without Training Datasets
Authors: Xiangyu Sun, Raquel Aoki, Kevin H. Wilson
Subjects: Machine Learning (cs.LG); Methodology (stat.ME)
[104]  arXiv:2405.18531 (cross-list from econ.EM) [pdf, other]
Title: Difference-in-Discontinuities: Estimation, Inference and Validity Tests
Authors: Pedro Picchetti, Cristine C. X. Pinto, Stephanie T. Shinoki
Subjects: Econometrics (econ.EM); Applications (stat.AP)
[105]  arXiv:2405.18518 (cross-list from cs.LG) [pdf, other]
Title: LSTM-COX Model: A Concise and Efficient Deep Learning Approach for Handling Recurrent Events
Authors: Zhang Runquan, Shi Xiaoping
Subjects: Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)
[106]  arXiv:2405.18509 (cross-list from astro-ph.SR) [pdf, other]
Title: Improving Harmonic Analysis using Multitapering: Precise frequency estimation of stellar oscillations using the harmonic F-test
Authors: Aarya A. Patil, Gwendolyn M. Eadie, Joshua S. Speagle, David J. Thomson
Comments: 15 pages, 6 figures, Submitted to AJ as a companion paper to arXiv:2209.15027
Subjects: Solar and Stellar Astrophysics (astro-ph.SR); Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM); Applications (stat.AP)
[107]  arXiv:2405.18459 (cross-list from cs.IT) [pdf, other]
Title: Probing the Information Theoretical Roots of Spatial Dependence Measures
Authors: Zhangyu Wang, Krzysztof Janowicz, Gengchen Mai, Ivan Majic
Comments: COSIT-2024 Conference Proceedings
Subjects: Information Theory (cs.IT); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Methodology (stat.ME)
[108]  arXiv:2405.18457 (cross-list from cs.LG) [pdf, other]
Title: Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
Authors: Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, Javier Antorán, José Miguel Hernández-Lobato
Comments: arXiv admin note: text overlap with arXiv:2405.18328
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[109]  arXiv:2405.18444 (cross-list from physics.chem-ph) [pdf, other]
Title: Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis
Authors: Geremy Loachamín Suntaxi, Paris Papavasileiou, Eleni D. Koronaki, Dimitrios G. Giovanis, Georgios Gakis, Ioannis G. Aviziotis, Martin Kathrein, Gabriele Pozzetti, Christoph Czettl, Stéphane P.A. Bordas, Andreas G. Boudouvis
Subjects: Chemical Physics (physics.chem-ph); Machine Learning (cs.LG); Systems and Control (eess.SY); Applications (stat.AP)
[110]  arXiv:2405.18206 (cross-list from cs.LG) [pdf, other]
Title: Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts
Authors: Christoph Kern, Michael Kim, Angela Zhou
Subjects: Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)
[111]  arXiv:2405.18160 (cross-list from cond-mat.stat-mech) [pdf, other]
Title: Sampling metastable systems using collective variables and Jarzynski-Crooks paths
Authors: Christoph Schönle, Marylou Gabrié, Tony Lelièvre, Gabriel Stoltz
Subjects: Statistical Mechanics (cond-mat.stat-mech); Computation (stat.CO)

Wed, 29 May 2024 (showing first 64 of 78 entries)

[112]  arXiv:2405.18427 [pdf, other]
Title: Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets
Authors: Khen Cohen, Noam Levi, Yaron Oz
Comments: 19 pages, 14 figures
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[113]  arXiv:2405.18413 [pdf, other]
Title: Homophily-adjusted social influence estimation
Authors: Hanh T.D. Pham, Daniel K. Sewell
Subjects: Methodology (stat.ME)
[114]  arXiv:2405.18412 [pdf, other]
Title: Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
Authors: Arnab Auddy, Dong Xia, Ming Yuan
Subjects: Statistics Theory (math.ST); Numerical Analysis (math.NA); Methodology (stat.ME); Machine Learning (stat.ML)
[115]  arXiv:2405.18379 [pdf, other]
Title: A Note on the Prediction-Powered Bootstrap
Authors: Tijana Zrnic
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[116]  arXiv:2405.18373 [pdf, other]
Title: A Hessian-Aware Stochastic Differential Equation for Modelling SGD
Authors: Xiang Li, Zebang Shen, Liang Zhang, Niao He
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)
[117]  arXiv:2405.18323 [pdf, other]
Title: Optimal Design in Repeated Testing for Count Data
Authors: Parisa Parsamaram, Heinz Holling, Rainer Schwabe
Comments: 26 pages, 3 figures
Subjects: Methodology (stat.ME)
[118]  arXiv:2405.18306 [pdf, other]
Title: Learning Staged Trees from Incomplete Data
Authors: Jack Storror Carter, Manuele Leonelli, Eva Riccomagno, Gherardo Varando
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[119]  arXiv:2405.18298 [pdf, other]
Title: Context-Specific Refinements of Bayesian Network Classifiers
Authors: Manuele Leonelli, Gherardo Varando
Comments: arXiv admin note: text overlap with arXiv:2206.06970
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[120]  arXiv:2405.18288 [pdf, other]
Title: Stagewise Boosting Distributional Regression
Authors: Mattias Wetscher, Johannes Seiler, Reto Stauffer, Nikolaus Umlauf
Subjects: Methodology (stat.ME); Machine Learning (stat.ML)
[121]  arXiv:2405.18284 [pdf, other]
Title: Adaptive debiased SGD in high-dimensional GLMs with steaming data
Authors: Ruijian Han, Lan Luo, Yuanhang Luo, Yuanyuan Lin, Jian Huang
Comments: 37 pages, 4 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[122]  arXiv:2405.18279 [pdf, other]
Title: Identifiability, Observability, Uncertainty and Bayesian System Identification of Epidemiological Models
Authors: Jonas Hjulstad
Subjects: Applications (stat.AP); Systems and Control (eess.SY)
[123]  arXiv:2405.18274 [pdf, other]
Title: Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models
Authors: Behrad Moniri, Hamed Hassani
Subjects: Statistics Theory (math.ST); Machine Learning (cs.LG); Signal Processing (eess.SP); Machine Learning (stat.ML)
[124]  arXiv:2405.18271 [pdf, other]
Title: Unraveling Factors Influencing Shooting Incidents: Preliminary Analysis and Insights
Authors: Robert Hernandez, Linn Carothers
Subjects: Applications (stat.AP)
[125]  arXiv:2405.18232 [pdf, ps, other]
Title: Guidelines and Best Practices to Share Deidentified Data and Code
Authors: Nicholas J. Horton, Sara Stoudt
Subjects: Other Statistics (stat.OT)
[126]  arXiv:2405.18220 [pdf, other]
Title: Non-negative Tensor Mixture Learning for Discrete Density Estimation
Authors: Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup
Comments: 24 pages, 5 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[127]  arXiv:2405.18176 [pdf, other]
Title: SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals
Authors: Ilia Azizi, Marc-Olivier Boldi, Valérie Chavez-Demoulin
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[128]  arXiv:2405.18095 [pdf, other]
Title: Is machine learning good or bad for the natural sciences?
Authors: David W. Hogg (NYU, MPIA, Flatiron), Soledad Villar (JHU, Flatiron)
Comments: A Position Paper accepted for publication in the 2024 International Conference on Machine Learning
Subjects: Machine Learning (stat.ML); Instrumentation and Methods for Astrophysics (astro-ph.IM); Machine Learning (cs.LG); Data Analysis, Statistics and Probability (physics.data-an)
[129]  arXiv:2405.18091 [pdf, ps, other]
Title: An adaptive transfer learning perspective on classification in non-stationary environments
Authors: Henry W J Reeve
Subjects: Statistics Theory (math.ST); Machine Learning (cs.LG)
[130]  arXiv:2405.18081 [pdf, other]
Title: Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise
Authors: Rishabh Dudeja, Songbin Liu, Junjie Ma
Subjects: Statistics Theory (math.ST); Information Theory (cs.IT); Probability (math.PR); Machine Learning (stat.ML)
[131]  arXiv:2405.18076 [pdf, ps, other]
Title: Prediction of energy consumption in hotels using ANN
Authors: Oscar Trull, Angel Peiro-Signes, J.Carlos Garcia-Diaz, Marival Segarra-Ona
Subjects: Computation (stat.CO)
[132]  arXiv:2405.18055 [pdf, ps, other]
Title: Dimension-free uniform concentration bound for logistic regression
Authors: Shogo Nakakita
Comments: 25 pages
Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)
[133]  arXiv:2405.18051 [pdf, other]
Title: Predicting Progression Events in Multiple Myeloma from Routine Blood Work
Authors: Maximilian Ferle, Nora Grieb, Markus Kreuz, Uwe Platzbecker, Thomas Neumuth, Kristin Reiche, Alexander Oeser, Maximilian Merz
Comments: 18 pages, 8 figures, 4, tables
Subjects: Applications (stat.AP); Quantitative Methods (q-bio.QM)
[134]  arXiv:2405.18020 [pdf, other]
Title: The association between environmental variables and short-term mortality: evidence from Europe
Authors: Jens Robben, Katrien Antonio, Torsten Kleinow
Subjects: Applications (stat.AP)
[135]  arXiv:2405.18005 [pdf, other]
Title: Persistence Diagram Estimation : Beyond Plug-in Approaches
Authors: Hugo Henneuse
Subjects: Statistics Theory (math.ST); Algebraic Topology (math.AT)
[136]  arXiv:2405.17972 [pdf, other]
Title: Inference for the stochastic FitzHugh-Nagumo model from real action potential data via approximate Bayesian computation
Authors: Adeline Samson, Massimiliano Tamborrino, Irene Tubikanec
Comments: 23 pages, 12 figures
Subjects: Computation (stat.CO); Dynamical Systems (math.DS)
[137]  arXiv:2405.17955 [pdf, other]
Title: Efficient Prior Calibration From Indirect Data
Authors: O. Deniz Akyildiz, Mark Girolami, Andrew M. Stuart, Arnaud Vadeboncoeur
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Computation (stat.CO)
[138]  arXiv:2405.17954 [pdf, ps, other]
Title: Comparison of predictive values with paired samples
Authors: Antonio Martín Andrés, Pedro Femia Marzo
Comments: 33 pages and 7 tables
Subjects: Methodology (stat.ME)
[139]  arXiv:2405.17919 [pdf, ps, other]
Title: Fisher's Legacy of Directional Statistics, and Beyond to Statistics on Manifolds
Authors: Kanti V. Mardia
Comments: 19 pages,11 Figures
Subjects: Methodology (stat.ME)
[140]  arXiv:2405.17834 [pdf, other]
Title: Revisiting Step-Size Assumptions in Stochastic Approximation
Authors: Caio Kalil Lauand, Sean Meyn
Comments: 30 pages, 5 figures
Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)
[141]  arXiv:2405.17828 [pdf, other]
Title: On Robust Clustering of Temporal Point Process
Authors: Yuecheng Zhang, Guanhua Fang, Wen Yu
Subjects: Methodology (stat.ME)
[142]  arXiv:2405.17823 [pdf, other]
Title: Spectral Truncation Kernels: Noncommutativity in $C^*$-algebraic Kernel Machines
Authors: Yuka Hashimoto, Ayoub Hafid, Masahiro Ikeda, Hachem Kadri
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Operator Algebras (math.OA)
[143]  arXiv:2405.17806 [pdf, other]
Title: Entry-Wise Eigenvector Analysis and Improved Rates for Topic Modeling on Short Documents
Authors: Zheng Tracy Ke, Jingming Wang
Comments: 50 pages
Journal-ref: MDPI Mathematics, 2024
Subjects: Statistics Theory (math.ST)
[144]  arXiv:2405.17744 [pdf, other]
Title: Factor Augmented Matrix Regression
Authors: Elynn Chen, Jianqing Fan, Xiaonan Zhu
Subjects: Methodology (stat.ME)
[145]  arXiv:2405.17707 [pdf, other]
Title: The Multiplex $p_2$ Model: Mixed-Effects Modeling for Multiplex Social Networks
Authors: Anni Hong, Nynke M. D. Niezink
Subjects: Methodology (stat.ME); Applications (stat.AP)
[146]  arXiv:2405.17693 [pdf, other]
Title: Tamed Langevin sampling under weaker conditions
Authors: Iosif Lytras, Panayotis Mertikopoulos
Comments: 32 pages, 2 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Numerical Analysis (math.NA); Optimization and Control (math.OC); Probability (math.PR)
[147]  arXiv:2405.17684 [pdf, other]
Title: ZIKQ: An innovative centile chart method for utilizing natural history data in rare disease clinical development
Authors: Tianying Wang, Wenfei Zhang, Ying Wei
Subjects: Methodology (stat.ME); Applications (stat.AP)
[148]  arXiv:2405.17669 [pdf, other]
Title: Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
Authors: Dafne Zorzetto, Antonio Canale, Fabrizia Mealli, Francesca Dominici, Falco J. Bargagli-Stoffi
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[149]  arXiv:2405.17668 [pdf, other]
Title: Towards the use of multiple ROIs for radiomics-based survival modelling: finding a strategy of aggregating lesions
Authors: Agata Małgorzata Wilk, Andrzej Swierniak, Andrea d'Amico, Rafał Suwiński, Krzysztof Fujarewicz, Damian Borys
Comments: To be submitted to Computerized Medical Imaging and Graphics
Subjects: Applications (stat.AP)
[150]  arXiv:2405.17666 [pdf, other]
Title: Structured Partial Stochasticity in Bayesian Neural Networks
Authors: Tommy Rochussen
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[151]  arXiv:2405.17591 [pdf, other]
Title: Individualized Dynamic Mediation Analysis Using Latent Factor Models
Authors: Yijiao Zhang, Yubai Yuan, Yuexia Zhang, Zhongyi Zhu, Annie Qu
Comments: 25 pages, 3 figures, 3 tables
Subjects: Methodology (stat.ME)
[152]  arXiv:2405.17573 [pdf, other]
Title: Hamiltonian Mechanics of Feature Learning: Bottleneck Structure in Leaky ResNets
Authors: Arthur Jacot, Alexandre Kaiser
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[153]  arXiv:2405.18401 (cross-list from cs.LG) [pdf, other]
Title: Explicit Formulae to Interchangeably use Hyperplanes and Hyperballs using Inversive Geometry
Authors: Erik Thordsen, Erich Schubert
Comments: to be submitted to TMLR (submission pending)
Subjects: Machine Learning (cs.LG); Computational Geometry (cs.CG); Machine Learning (stat.ML)
[154]  arXiv:2405.18395 (cross-list from cs.LG) [pdf, other]
Title: MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
Authors: Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao
Comments: ICML-2024 Proceedings
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Applications (stat.AP)
[155]  arXiv:2405.18353 (cross-list from cs.LG) [pdf, other]
Title: Simulating infinite-dimensional nonlinear diffusion bridges
Authors: Gefan Yang, Elizabeth Louise Baker, Michael L. Severinsen, Christy Anna Hipsley, Stefan Sommer
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[156]  arXiv:2405.18328 (cross-list from cs.LG) [pdf, other]
Title: Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes
Authors: Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, José Miguel Hernández-Lobato
Comments: Advances in Approximate Bayesian Inference 2024
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[157]  arXiv:2405.18296 (cross-list from cs.LG) [pdf, other]
Title: Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
Authors: Anchit Jain, Rozhin Nobahari, Aristide Baratin, Stefano Sarao Mannelli
Subjects: Machine Learning (cs.LG); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (stat.ML)
[158]  arXiv:2405.18237 (cross-list from cs.LG) [pdf, other]
Title: Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression
Authors: Zhankun Luo, Abolfazl Hashemi
Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML)
[159]  arXiv:2405.18221 (cross-list from math.OC) [pdf, other]
Title: Recurrent Natural Policy Gradient for POMDPs
Authors: Semih Cayci, Atilla Eryilmaz
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)
[160]  arXiv:2405.18206 (cross-list from cs.LG) [pdf, other]
Title: Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts
Authors: Christoph Kern, Michael Kim, Angela Zhou
Subjects: Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)
[161]  arXiv:2405.18127 (cross-list from cs.LG) [pdf, other]
Title: Graph Coarsening with Message-Passing Guarantees
Authors: Antonin Joly, Nicolas Keriven
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[162]  arXiv:2405.18108 (cross-list from physics.class-ph) [pdf, ps, other]
Title: Simulation of Single-Phase Natural Circulation within the BEPU Framework: Sketching Scaling Uncertainty Principle by Multi-Scale CFD Approaches
Authors: Haifu Huang (IUSTI), Jorge Perez, Nicolas Alpy, Marc Medale (IUSTI)
Journal-ref: Best Estimate Plus Uncertainty International Conference (BEPU 2024), May 2024, Lucca, Italy
Subjects: Classical Physics (physics.class-ph); Applications (stat.AP)
[163]  arXiv:2405.18075 (cross-list from cs.LG) [pdf, other]
Title: Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
Authors: Nataša Tagasovska, Vladimir Gligorijević, Kyunghyun Cho, Andreas Loukas
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[164]  arXiv:2405.18034 (cross-list from math.NA) [pdf, other]
Title: Convergence rates of particle approximation of forward-backward splitting algorithm for granular medium equations
Authors: Matej Benko, Iwona Chlebicka, Jørgen Endal, Błażej Miasojedow
Subjects: Numerical Analysis (math.NA); Computation (stat.CO)
[165]  arXiv:2405.17862 (cross-list from cs.LG) [pdf, other]
Title: Towards robust prediction of material properties for nuclear reactor design under scarce data -- a study in creep rupture property
Authors: Yu Chen, Edoardo Patelli, Zhen Yang, Adolphus Lye
Comments: 8 pages, submitted to REC 2024 (International Workshop on Reliable Engineering Computing)
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[166]  arXiv:2405.17836 (cross-list from eess.SP) [pdf, other]
Title: An Innovative Networks in Federated Learning
Authors: Zavareh Bozorgasl, Hao Chen
Comments: Work in progress
Subjects: Signal Processing (eess.SP); Machine Learning (cs.LG); Machine Learning (stat.ML)
[167]  arXiv:2405.17796 (cross-list from cs.LG) [pdf, ps, other]
Title: Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
Authors: Jian Qian, Haichen Hu, David Simchi-Levi
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[168]  arXiv:2405.17767 (cross-list from cs.LG) [pdf, other]
Title: Linguistic Collapse: Neural Collapse in (Large) Language Models
Authors: Robert Wu, Vardan Papyan
Comments: 29 pages, 27 figures
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)
[169]  arXiv:2405.17764 (cross-list from cs.CL) [pdf, other]
Title: On the Sequence Evaluation based on Stochastic Processes
Authors: Tianhao Zhang, Zhexiao Lin, Zhecheng Sheng, Chen Jiang, Dongyeop Kang
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Statistics Theory (math.ST)
[170]  arXiv:2405.17734 (cross-list from cs.LG) [pdf, other]
Title: Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning
Authors: Yanbing Bai, Xinyi Wu, Lai Xu, Jihan Pei, Erick Mas, Shunichi Koshimura
Subjects: Machine Learning (cs.LG); Applications (stat.AP)
[171]  arXiv:2405.17708 (cross-list from cs.LG) [pdf, other]
Title: OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
Authors: Allen Nie, Yash Chandak, Christina J. Yuan, Anirudhan Badrinath, Yannis Flet-Berliac, Emma Brunskil
Comments: 22 pages
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[172]  arXiv:2405.17673 (cross-list from cs.CV) [pdf, other]
Title: Fast Samplers for Inverse Problems in Iterative Refinement Models
Authors: Kushagra Pandey, Ruihan Yang, Stephan Mandt
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Machine Learning (stat.ML)
[173]  arXiv:2405.17672 (cross-list from cs.LG) [pdf, other]
Title: Exploring Loss Design Techniques For Decision Tree Robustness To Label Noise
Authors: Lukasz Sztukiewicz, Jack Henry Good, Artur Dubrawski
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[174]  arXiv:2405.17642 (cross-list from cs.LG) [pdf, other]
Title: Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels
Authors: Patryk Wielopolski, Oleksii Furman, Jerzy Stefanowski, Maciej Zięba
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Methodology (stat.ME)
[175]  arXiv:2405.17640 (cross-list from cs.LG) [pdf, other]
Title: Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
Authors: Patryk Wielopolski, Oleksii Furman, Jerzy Stefanowski, Maciej Zięba
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Methodology (stat.ME)
[ total of 374 entries: 1-100 | 76-175 | 176-275 | 276-374 ]
[ showing 100 entries per page: fewer | more | all ]

Disable MathJax (What is MathJax?)

Links to: arXiv, form interface, find, stat, new, 2405, contact, help  (Access key information)