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Authors and titles for recent submissions

[ total of 210 entries: 1-100 | 101-200 | 201-210 ]
[ showing 100 entries per page: fewer | more | all ]

Wed, 15 May 2024

[1]  arXiv:2405.08806 [pdf, ps, other]
Title: Bounds on the Distribution of a Sum of Two Random Variables: Revisiting a problem of Kolmogorov with application to Individual Treatment Effects
Authors: Zhehao Zhang, Thomas S. Richardson
Subjects: Statistics Theory (math.ST); Econometrics (econ.EM); Probability (math.PR)
[2]  arXiv:2405.08759 [pdf, other]
Title: Optimal Sequential Procedure for Early Detection of Multiple Side Effects
Authors: Jiayue Wang, Ben Boukai
Comments: A total of 31 with 6 Tables and 8 Figures
Subjects: Methodology (stat.ME); Applications (stat.AP)
[3]  arXiv:2405.08747 [pdf, ps, other]
Title: Minimax optimal seriation in polynomial time
Authors: Yann Issartel, Christophe Giraud, Nicolas Verzelen
Subjects: Statistics Theory (math.ST)
[4]  arXiv:2405.08738 [pdf, other]
Title: Calibrated sensitivity models
Authors: Alec McClean, Zach Branson, Edward H. Kennedy
Comments: To be presented at the 2024 American Causal Inference Conference
Subjects: Methodology (stat.ME)
[5]  arXiv:2405.08730 [pdf, other]
Title: A Generalized Difference-in-Differences Estimator for Unbiased Estimation of Desired Estimands from Staggered Adoption and Stepped-Wedge Settings
Authors: Lee Kennedy-Shaffer
Comments: 26 pages main text, 17 pages additional material, 1 figure, 6 tables
Subjects: Methodology (stat.ME); Applications (stat.AP)
[6]  arXiv:2405.08727 [pdf, other]
Title: Intervention effects based on potential benefit
Authors: Alexander W. Levis, Eli Ben-Michael, Edward H. Kennedy
Comments: 32 pages, 1 figure
Subjects: Methodology (stat.ME)
[7]  arXiv:2405.08719 [pdf, other]
Title: Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
Authors: Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Marco Cuturi, Jörn-Henrik Jacobsen
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[8]  arXiv:2405.08699 [pdf, ps, other]
Title: Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity
Authors: Wenrui Li, Wei Zhang, Qinghao Zhang, Xuegong Zhang, Xiaowo Wang
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[9]  arXiv:2405.08675 [pdf, other]
Title: Simplifying Debiased Inference via Automatic Differentiation and Probabilistic Programming
Authors: Alex Luedtke
Subjects: Methodology (stat.ME); Computation (stat.CO); Machine Learning (stat.ML)
[10]  arXiv:2405.08640 [pdf, other]
Title: A sparsity test for multivariate Hawkes processes
Authors: Antoine Lotz
Subjects: Statistics Theory (math.ST)
[11]  arXiv:2405.08631 [pdf, other]
Title: A Fast and Scalable Pathwise-Solver for Group Lasso and Elastic Net Penalized Regression via Block-Coordinate Descent
Authors: James Yang, Trevor Hastie
Subjects: Computation (stat.CO); Machine Learning (cs.LG); Mathematical Software (cs.MS); Software Engineering (cs.SE)
[12]  arXiv:2405.08574 [pdf, ps, other]
Title: Predicting Short Response Ratings with Non-Content Related Features: A Hierarchical Modeling Approach
Authors: Aubrey Condor
Subjects: Applications (stat.AP); Other Statistics (stat.OT)
[13]  arXiv:2405.08525 [pdf, other]
Title: Doubly-robust inference and optimality in structure-agnostic models with smoothness
Authors: Matteo Bonvini, Edward H. Kennedy, Oliver Dukes, Sivaraman Balakrishnan
Comments: 54 pages, 2 figures
Subjects: Methodology (stat.ME)
[14]  arXiv:2405.08524 [pdf, other]
Title: The Asymptotic Properties of the Extreme Eigenvectors of High-dimensional Generalized Spiked Covariance Model
Authors: Zhangni Pu, Xiaozhuo Zhang, Jiang Hu, Zhidong Bai
Subjects: Statistics Theory (math.ST)
[15]  arXiv:2405.08387 [pdf, ps, other]
Title: Quest for an efficient mathematical and computational method to explore optimal extreme weather modification
Authors: Yohei Sawada
Comments: 25 pages, 7 figures
Subjects: Applications (stat.AP); Geophysics (physics.geo-ph)
[16]  arXiv:2405.08332 [pdf, other]
Title: Parameter estimation and long-range dependence of the fractional binomial process
Authors: Meena Sanjay Babulal, Sunil Kumar Gauttam, Aditya Maheshwari
Comments: 18 pages, 4 figures
Subjects: Statistics Theory (math.ST)
[17]  arXiv:2405.08307 [pdf, other]
Title: Sequential Maximal Updated Density Parameter Estimation for Dynamical Systems with Parameter Drift
Authors: Carlos del-Castillo-Negrete, Rylan Spence, Troy Butler, Clint Dawson
Comments: 29 pages, 9 Figures, Code available at this https URL
Subjects: Methodology (stat.ME); Numerical Analysis (math.NA); Other Statistics (stat.OT)
[18]  arXiv:2405.08290 [pdf, ps, other]
Title: MCMC using $\textit{bouncy}$ Hamiltonian dynamics: A unifying framework for Hamiltonian Monte Carlo and piecewise deterministic Markov process samplers
Authors: Andrew Chin, Akihiko Nishimura
Subjects: Computation (stat.CO); Methodology (stat.ME)
[19]  arXiv:2405.08276 [pdf, other]
Title: Scalable Subsampling Inference for Deep Neural Networks
Authors: Kejin Wu, Dimitris N. Politis
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Computation (stat.CO)
[20]  arXiv:2405.08253 [pdf, ps, other]
Title: Thompson Sampling for Infinite-Horizon Discounted Decision Processes
Authors: Daniel Adelman, Cagla Keceli, Alba V. Olivares Nadal
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)
[21]  arXiv:2405.08235 [pdf, other]
Title: Additive-Effect Assisted Learning
Authors: Jiawei Zhang, Yuhong Yang, Jie Ding
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[22]  arXiv:2405.08225 [pdf, ps, other]
Title: Linear Operator Approximate Message Passing (OpAMP)
Authors: Riccardo Rossetti, Bobak Nazer, Galen Reeves
Comments: 31 pages, 5 figures
Subjects: Statistics Theory (math.ST); Information Theory (cs.IT); Probability (math.PR)
[23]  arXiv:2405.08180 [pdf, ps, other]
Title: An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables
Authors: Lara Maleyeff, Shirin Golchi, Erica E.M. Moodie, Marie Hudson
Comments: 34 pages
Subjects: Methodology (stat.ME)
[24]  arXiv:2405.08177 [pdf, other]
Title: Parameter identifiability, parameter estimation and model prediction for differential equation models
Authors: Matthew J Simpson, Ruth E Baker
Comments: 22 pages, 6 Figures
Subjects: Methodology (stat.ME)
[25]  arXiv:2405.08787 (cross-list from cs.DS) [pdf, ps, other]
Title: Explicit Orthogonal Arrays and Universal Hashing with Arbitrary Parameters
Authors: Nicholas Harvey, Arvin Sahami
Subjects: Data Structures and Algorithms (cs.DS); Computational Complexity (cs.CC); Combinatorics (math.CO); Statistics Theory (math.ST)
[26]  arXiv:2405.08668 (cross-list from cs.CV) [pdf, other]
Title: Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research
Authors: Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhenzhong Zeng, Xiaokang Yang, Dongxiao Zhang
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Applications (stat.AP)
[27]  arXiv:2405.08498 (cross-list from cs.LG) [pdf, other]
Title: Learning Decision Policies with Instrumental Variables through Double Machine Learning
Authors: Daqian Shao, Ashkan Soleymani, Francesco Quinzan, Marta Kwiatkowska
Comments: Accepted at ICML 2024
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[28]  arXiv:2405.08484 (cross-list from quant-ph) [pdf, other]
Title: Universal replication of chaotic characteristics by classical and quantum machine learning
Authors: Sheng-Chen Bai, Shi-Ju Ran
Comments: 8 pages, 4 figures
Subjects: Quantum Physics (quant-ph); Machine Learning (cs.LG); Chaotic Dynamics (nlin.CD); Machine Learning (stat.ML)
[29]  arXiv:2405.08421 (cross-list from cond-mat.dis-nn) [pdf, other]
Title: Faster algorithms for the alignment of sparse correlated Erdös-Rényi random graphs
Authors: Andrea Muratori, Guilhem Semerjian
Comments: 31 pages
Subjects: Disordered Systems and Neural Networks (cond-mat.dis-nn); Data Structures and Algorithms (cs.DS); Probability (math.PR); Statistics Theory (math.ST)
[30]  arXiv:2405.08284 (cross-list from econ.EM) [pdf, ps, other]
Title: Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models
Authors: Yiluan Xing, Chao Yan, Cathy Chang Xie
Comments: 7 pages, 4 figures, 2 tables, conference paper
Subjects: Econometrics (econ.EM); Machine Learning (cs.LG); Applications (stat.AP)
[31]  arXiv:2405.08217 (cross-list from cs.LG) [pdf, other]
Title: Data Valuation with Gradient Similarity
Authors: Nathaniel J. Evans, Gordon B. Mills, Guanming Wu, Xubo Song, Shannon McWeeney
Subjects: Machine Learning (cs.LG); Genomics (q-bio.GN); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)
[32]  arXiv:2405.08203 (cross-list from physics.soc-ph) [pdf, other]
Title: Community detection in bipartite signed networks is highly dependent on parameter choice
Authors: Elena Candellone, Erik-Jan van Kesteren, Sofia Chelmi, Javier Garcia-Bernardo
Subjects: Physics and Society (physics.soc-ph); Social and Information Networks (cs.SI); Methodology (stat.ME)
[33]  arXiv:2405.08179 (cross-list from eess.IV) [pdf, other]
Title: Do Bayesian imaging methods report trustworthy probabilities?
Authors: David Y. W. Thong, Charlesquin Kemajou Mbakam, Marcelo Pereyra
Subjects: Image and Video Processing (eess.IV); Machine Learning (cs.LG); Signal Processing (eess.SP); Applications (stat.AP); Machine Learning (stat.ML)
[34]  arXiv:2405.08033 (cross-list from cs.LG) [pdf, other]
Title: Predicting Ship Responses in Different Seaways using a Generalizable Force Correcting Machine Learning Method
Authors: Kyle E. Marlantes, Piotr J. Bandyk, Kevin J. Maki
Subjects: Machine Learning (cs.LG); Fluid Dynamics (physics.flu-dyn); Machine Learning (stat.ML)
[35]  arXiv:2405.05393 (cross-list from cs.SI) [pdf, other]
Title: Mutual information and the encoding of contingency tables
Authors: Maximilian Jerdee, Alec Kirkley, M. E. J. Newman
Comments: 18 pages, 9 figures
Subjects: Social and Information Networks (cs.SI); Statistical Mechanics (cond-mat.stat-mech); Machine Learning (stat.ML)
[36]  arXiv:nlin/0408039 (cross-list from nlin.AO) [pdf, ps, other]
Title: Stability and Diversity in Collective Adaptation
Authors: Yuzuru Sato, Eizo Akiyama, James P. Crutchfield
Comments: 22 pages, 23 figures; updated references, corrected typos, changed content
Subjects: Adaptation and Self-Organizing Systems (nlin.AO); Machine Learning (cs.LG); Dynamical Systems (math.DS); Chaotic Dynamics (nlin.CD); Machine Learning (stat.ML)

Tue, 14 May 2024 (showing first 64 of 72 entries)

[37]  arXiv:2405.07985 [pdf, ps, other]
Title: Improved LARS algorithm for adaptive LASSO in the linear regression model
Authors: Manickavasagar Kayanan, Pushpakanthie Wijekoon
Comments: 10 pages, 3 figures
Subjects: Methodology (stat.ME)
[38]  arXiv:2405.07979 [pdf, other]
Title: Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
Authors: Matthew Eichhorn, Samir Khan, Johan Ugander, Christina Lee Yu
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[39]  arXiv:2405.07976 [pdf, other]
Title: Localized Adaptive Risk Control
Authors: Matteo Zecchin, Osvaldo Simeone
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Machine Learning (cs.LG)
[40]  arXiv:2405.07971 [pdf, other]
Title: Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits
Authors: Reda Chhaibi, Fabrice Gamboa, Christophe Oger, Vinicius Oliveira, Clément Pellegrini, Damien Remot
Comments: 7 pages
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Applications (stat.AP); Methodology (stat.ME)
[41]  arXiv:2405.07958 [pdf, other]
Title: Record-based transmuted unit omega distribution: different methods of estimation and applications
Authors: Ashok Kumar Pathak, Mohd. Arshad, Alok Kumar Pandey, Alam Ali
Comments: 26 pages, 14 figures
Subjects: Statistics Theory (math.ST)
[42]  arXiv:2405.07910 [pdf, ps, other]
Title: A Unification of Exchangeability and Continuous Exposure and Confounder Measurement Errors: Probabilistic Exchangeability
Authors: Honghyok Kim
Subjects: Statistics Theory (math.ST); Methodology (stat.ME)
[43]  arXiv:2405.07879 [pdf, other]
Title: On the Relation Between Autoencoders and Non-negative Matrix Factorization, and Their Application for Mutational Signature Extraction
Authors: Ida Egendal, Rasmus Froberg Brøndum, Marta Pelizzola, Asger Hobolth, Martin Bøgsted
Subjects: Applications (stat.AP); Machine Learning (cs.LG)
[44]  arXiv:2405.07852 [pdf, other]
Title: Riemannian radial distributions on Riemannian symmetric spaces: Optimal rates of convergence for parameter estimation
Authors: Hengchao Chen
Subjects: Statistics Theory (math.ST); Differential Geometry (math.DG)
[45]  arXiv:2405.07795 [pdf, other]
Title: Improved Bound for Robust Causal Bandits with Linear Models
Authors: Zirui Yan, Arpan Mukherjee, Burak Varıcı, Ali Tajer
Comments: 11 pages, 3 figures. arXiv admin note: substantial text overlap with arXiv:2310.19794
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[46]  arXiv:2405.07757 [pdf, ps, other]
Title: Minimax rates in variance and covariance changepoint testing
Authors: Per August Jarval Moen
Subjects: Statistics Theory (math.ST)
[47]  arXiv:2405.07732 [pdf, other]
Title: Measuring dependence between a scalar response and a functional covariate
Authors: Siegfried Hörmann, Daniel Strenger
Subjects: Statistics Theory (math.ST); Probability (math.PR)
[48]  arXiv:2405.07722 [pdf, ps, other]
Title: Model Identifiability for Bivariate Failure Time Data with Competing Risk: Non-parametric Cause-specific Hazards and Gamma Frailty
Authors: Biswadeep Ghosh, Anup Dewanji, Sudipta Das
Subjects: Statistics Theory (math.ST)
[49]  arXiv:2405.07677 [pdf, other]
Title: Unveiling low-dimensional patterns induced by convex non-differentiable regularizers
Authors: Ivan Hejný, Jonas Wallin, Małgorzata Bogdan, Michał Kos
Comments: 30 pages, 5 figures, for associated code, see this https URL
Subjects: Statistics Theory (math.ST)
[50]  arXiv:2405.07631 [pdf, other]
Title: Improving prediction models by incorporating external data with weights based on similarity
Authors: Max Behrens, Maryam Farhadizadeh, Angelika Rohde, Alexander Rühle, Nils H. Nicolay, Harald Binder, Daniela Zöller
Subjects: Methodology (stat.ME); Applications (stat.AP)
[51]  arXiv:2405.07619 [pdf, ps, other]
Title: Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent
Authors: Michael Kohler, Adam Krzyzak, Benjamin Walter
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[52]  arXiv:2405.07552 [pdf, other]
Title: Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
Authors: Caixing Wang, Ziliang Shen
Comments: Forty-first International Conference on Machine Learning (ICML 2024)
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[53]  arXiv:2405.07504 [pdf, other]
Title: Hierarchical inference of evidence using posterior samples
Authors: Stefano Rinaldi, Gabriele Demasi, Walter Del Pozzo, Otto A. Hannuksela
Comments: 18 pages, 7 figures, 1 table. Comments welcome
Subjects: Methodology (stat.ME)
[54]  arXiv:2405.07482 [pdf, other]
Title: Marginal Fairness Sliced Wasserstein Barycenter
Authors: Khai Nguyen, Hai Nguyen, Nhat Ho
Comments: 33 pages, 14 figures, 6 tables
Subjects: Machine Learning (stat.ML); Graphics (cs.GR); Machine Learning (cs.LG)
[55]  arXiv:2405.07432 [pdf, other]
Title: Compressed Online Learning of Conditional Mean Embedding
Authors: Boya Hou, Sina Sanjari, Alec Koppel, Subhonmesh Bose
Comments: 39 pages
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Systems and Control (eess.SY)
[56]  arXiv:2405.07408 [pdf, other]
Title: Bayesian Spatially Clustered Compositional Regression: Linking intersectoral GDP contributions to Gini Coefficients
Authors: Jingcheng Meng, Yimeng Ren, Xuening Zhu, Guanyu Hu
Subjects: Methodology (stat.ME); Applications (stat.AP)
[57]  arXiv:2405.07397 [pdf, other]
Title: The Spike-and-Slab Quantile LASSO for Robust Variable Selection in Cancer Genomics Studies
Authors: Yuwen Liu, Jie Ren, Shuangge Ma, Cen Wu
Subjects: Methodology (stat.ME)
[58]  arXiv:2405.07294 [pdf, ps, other]
Title: Factor Strength Estimation in Vector and Matrix Time Series Factor Models
Authors: Weilin Chen, Clifford Lam
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[59]  arXiv:2405.07286 [pdf, ps, other]
Title: A Short Note on a Flexible Cholesky Parameterization of Correlation Matrices
Authors: Sean Pinkney
Subjects: Computation (stat.CO)
[60]  arXiv:2405.07186 [pdf, other]
Title: Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data
Authors: Mark van der Laan, Sky Qiu, Lars van der Laan
Subjects: Methodology (stat.ME); Machine Learning (stat.ML)
[61]  arXiv:2405.07173 [pdf, other]
Title: Fusing independent inferential models in a black-box manner
Authors: Leonardo Cella
Comments: 8 pages
Subjects: Statistics Theory (math.ST)
[62]  arXiv:2405.07138 [pdf, other]
Title: Large-dimensional Robust Factor Analysis with Group Structure
Authors: Yong He, Xiaoyang Ma, Xingheng Wang, Yalin Wang
Subjects: Methodology (stat.ME)
[63]  arXiv:2405.07109 [pdf, other]
Title: Bridging Binarization: Causal Inference with Dichotomized Continuous Treatments
Authors: Kaitlyn J. Lee, Alan Hubbard, Alejandro Schuler
Subjects: Methodology (stat.ME)
[64]  arXiv:2405.07102 [pdf, other]
Title: Nested Instrumental Variables Design: Switcher Average Treatment Effect, Identification, Efficient Estimation and Generalizability
Authors: Rui Wang, Ying-Qi Zhao, Oliver Dukes, Bo Zhang
Subjects: Methodology (stat.ME); Applications (stat.AP); Other Statistics (stat.OT)
[65]  arXiv:2405.07026 [pdf, other]
Title: Selective Randomization Inference for Adaptive Experiments
Authors: Tobias Freidling, Qingyuan Zhao, Zijun Gao
Subjects: Methodology (stat.ME)
[66]  arXiv:2405.06939 [pdf, other]
Title: Tests for principal eigenvalues and eigenvectors
Authors: Jianqing Fan, Yingying Li, Ningning Xia, Xinghua Zheng
Subjects: Statistics Theory (math.ST)
[67]  arXiv:2405.06905 [pdf, other]
Title: Multimatricvariate and multimatrix variate distributions based on elliptically contoured laws under real normed division algebras
Authors: José A. Díaz-García, Francisco J. Caro-Lopera
Comments: 25 pages
Subjects: Statistics Theory (math.ST)
[68]  arXiv:2405.06889 [pdf, other]
Title: Tuning parameter selection for the adaptive nuclear norm regularized trace regression
Authors: Pan Shang, Lingchen Kong, Yiting Ma
Subjects: Methodology (stat.ME); Optimization and Control (math.OC)
[69]  arXiv:2405.06877 [pdf, ps, other]
Title: On the orthogonally equivariant estimators of a covariance matrix
Authors: Ming-Tien Tsai, Chia-Hsuan Tsai
Subjects: Statistics Theory (math.ST)
[70]  arXiv:2405.06866 [pdf, other]
Title: Dynamic Contextual Pricing with Doubly Non-Parametric Random Utility Models
Authors: Elynn Chen, Xi Chen, Lan Gao, Jiayu Li
Subjects: Methodology (stat.ME)
[71]  arXiv:2405.06857 [pdf, other]
Title: Bayesian Projection of Refugee and Asylum Seeker Populations
Authors: Herbert Susmann, Adrian E. Raftery
Comments: 31 pages, 3 tables, 6 figures
Subjects: Applications (stat.AP)
[72]  arXiv:2405.06813 [pdf, other]
Title: A note on distance variance for categorical variables
Authors: Qingyang Zhang
Comments: 3 figures
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[73]  arXiv:2405.06799 [pdf, other]
Title: Riemannian Statistics for Any Type of Data
Authors: Oldemar Rodriguez Rojas
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[74]  arXiv:2405.06798 [pdf, other]
Title: Estimating Value at Risk and Expected Shortfall: A Brief Review and Some New Developments
Authors: Kanon Kamronnaher, Andrew Bellucco, Whitney K. Huang, Colin M. Gallagher
Comments: 54 pages, 21 figures
Subjects: Computation (stat.CO)
[75]  arXiv:2405.06796 [pdf, other]
Title: The Multiple Change-in-Gaussian-Mean Problem
Authors: Paul Fearnhead, Piotr Fryzlewicz
Comments: This is a draft chapter from the forthcoming book "Change-Point Detection and Data Segmentation" by Paul Fearnhead and Piotr Fryzlewicz. Comments, particularly regarding the history of work in this area, are welcome
Subjects: Methodology (stat.ME); Statistics Theory (math.ST); Computation (stat.CO)
[76]  arXiv:2405.06763 [pdf, other]
Title: Post-selection inference for causal effects after causal discovery
Authors: Ting-Hsuan Chang, Zijian Guo, Daniel Malinsky
Subjects: Methodology (stat.ME)
[77]  arXiv:2405.06734 [pdf, other]
Title: Neural Estimation Of Entropic Optimal Transport
Authors: Tao Wang, Ziv Goldfeld
Comments: arXiv admin note: substantial text overlap with arXiv:2312.07397
Subjects: Statistics Theory (math.ST)
[78]  arXiv:2405.06727 [pdf, other]
Title: Approximation Error and Complexity Bounds for ReLU Networks on Low-Regular Function Spaces
Authors: Owen Davis, Gianluca Geraci, Mohammad Motamed
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[79]  arXiv:2405.06722 [pdf, ps, other]
Title: Hypergeometric Distribution Revisited: Tail Inequalities, Confidence Bounds and Sample Sizes
Authors: Anne-Marie George
Subjects: Statistics Theory (math.ST)
[80]  arXiv:2405.06672 [pdf, other]
Title: Liouville Flow Importance Sampler
Authors: Yifeng Tian, Nishant Panda, Yen Ting Lin
Comments: 25 pages, 7 figures, 15 tables. Submitted to and accepted by the 41th International Conference on Machine Learning (Vienna, Austria)
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Probability (math.PR); Data Analysis, Statistics and Probability (physics.data-an); Computation (stat.CO)
[81]  arXiv:2405.07914 (cross-list from cs.LG) [pdf, ps, other]
Title: Distribution Learning Meets Graph Structure Sampling
Authors: Arnab Bhattacharyya, Sutanu Gayen, Philips George John, Sayantan Sen, N. V. Vinodchandran
Comments: 48 pages, 2 figures. Shortened abstract as per arXiv criteria
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)
[82]  arXiv:2405.07877 (cross-list from math.NA) [pdf, other]
Title: Optimal accuracy for linear sets of equations with the graph Laplacian
Authors: Richard B. Lehoucq, Michael Weylandt, Jonathan W. Berry
Subjects: Numerical Analysis (math.NA); Social and Information Networks (cs.SI); Computation (stat.CO)
[83]  arXiv:2405.07863 (cross-list from cs.LG) [pdf, other]
Title: RLHF Workflow: From Reward Modeling to Online RLHF
Authors: Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
Comments: 26 pages, 8 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (stat.ML)
[84]  arXiv:2405.07860 (cross-list from econ.EM) [pdf, other]
Title: Uniform Inference for Subsampled Moment Regression
Authors: David M. Ritzwoller, Vasilis Syrgkanis
Subjects: Econometrics (econ.EM); Statistics Theory (math.ST); Machine Learning (stat.ML)
[85]  arXiv:2405.07839 (cross-list from cs.LG) [pdf, other]
Title: Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
Authors: Haoyang Zheng, Hengrong Du, Qi Feng, Wei Deng, Guang Lin
Comments: 28 pages, 13 figures, to appear in ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[86]  arXiv:2405.07836 (cross-list from cs.LG) [pdf, other]
Title: Forecasting with Hyper-Trees
Authors: Alexander März, Kashif Rasul
Comments: Forecasting, Gradient Boosting, Hyper-Networks, LightGBM, Parameter Non-Stationarity, Time Series, XGBoost
Subjects: Machine Learning (cs.LG); Methodology (stat.ME)
[87]  arXiv:2405.07803 (cross-list from cs.IT) [pdf, other]
Title: Decoding Geometric Properties in Non-Random Data from First Information-Theoretic Principles
Authors: Hector Zenil, Felipe S. Abrahão
Comments: arXiv admin note: substantial text overlap with arXiv:2303.16045. substantial text overlap with arXiv:2303.16045
Subjects: Information Theory (cs.IT); Computation and Language (cs.CL); Cryptography and Security (cs.CR); Information Retrieval (cs.IR); Statistics Theory (math.ST)
[88]  arXiv:2405.07791 (cross-list from cs.LG) [pdf, ps, other]
Title: Decentralized Kernel Ridge Regression Based on Data-dependent Random Feature
Authors: Ruikai Yang, Fan He, Mingzhen He, Jie Yang, Xiaolin Huang
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (stat.ML)
[89]  arXiv:2405.07761 (cross-list from cs.LG) [pdf, other]
Title: LLM4ED: Large Language Models for Automatic Equation Discovery
Authors: Mengge Du, Yuntian Chen, Zhongzheng Wang, Longfeng Nie, Dongxiao Zhang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Symbolic Computation (cs.SC); Mathematical Physics (math-ph); Applications (stat.AP)
[90]  arXiv:2405.07760 (cross-list from cs.LG) [pdf, other]
Title: CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization
Authors: Wei-Ting Tang, Joel A. Paulson
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[91]  arXiv:2405.07665 (cross-list from cs.IT) [pdf, other]
Title: Partial information decomposition as information bottleneck
Authors: Artemy Kolchinsky
Subjects: Information Theory (cs.IT); Machine Learning (stat.ML)
[92]  arXiv:2405.07549 (cross-list from q-fin.RM) [pdf, other]
Title: On Joint Marginal Expected Shortfall and Associated Contribution Risk Measures
Authors: Tong Pu, Yifei Zhang, Yiying Zhang
Subjects: Risk Management (q-fin.RM); Probability (math.PR); Applications (stat.AP)
[93]  arXiv:2405.07473 (cross-list from cs.LG) [pdf, other]
Title: Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the Free Energy Principle
Authors: Theodore Jerome Tinker, Kenji Doya, Jun Tani
Comments: 54 pages, 11 figures, to be published in Neural Computation
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[94]  arXiv:2405.07374 (cross-list from cs.LG) [pdf, other]
Title: Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
Authors: Shi-ang Qi, Yakun Yu, Russell Greiner
Comments: Accepted to ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[95]  arXiv:2405.07359 (cross-list from cs.LG) [pdf, other]
Title: Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation
Authors: Antonio Malpica-Morales, Miguel A. Duran-Olivencia, Serafim Kalliadasis
Comments: 26 pages, 7 figures
Journal-ref: Chaos, 34, 043105 (2024)
Subjects: Machine Learning (cs.LG); Dynamical Systems (math.DS); Data Analysis, Statistics and Probability (physics.data-an); Methodology (stat.ME)
[96]  arXiv:2405.07343 (cross-list from eess.SY) [pdf, other]
Title: Graph neural networks for power grid operational risk assessment under evolving grid topology
Authors: Yadong Zhang, Pranav M Karve, Sankaran Mahadevan
Comments: Manuscript submitted to Applied Energy
Subjects: Systems and Control (eess.SY); Machine Learning (cs.LG); Methodology (stat.ME)
[97]  arXiv:2405.07331 (cross-list from cs.LG) [pdf, other]
Title: Stochastic Bandits with ReLU Neural Networks
Authors: Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)
[98]  arXiv:2405.07292 (cross-list from econ.EM) [pdf, other]
Title: Kernel Three Pass Regression Filter
Authors: Rajveer Jat, Daanish Padha
Comments: Keywords: Forecasting, High dimension, Approximate factor model, Reproducing Kernel Hilbert space, Three-pass regression filter
Subjects: Econometrics (econ.EM); Statistical Finance (q-fin.ST); Methodology (stat.ME)
[99]  arXiv:2405.07220 (cross-list from cs.LG) [pdf, other]
Title: On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition
Authors: Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee
Comments: Conference on Causal Learning and Reasoning (CLeaR), 2023
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[100]  arXiv:2405.07098 (cross-list from cs.LG) [pdf, other]
Title: Interpretable global minima of deep ReLU neural networks on sequentially separable data
Authors: Thomas Chen, Patricia Muñoz Ewald
Comments: AMS Latex, 22 pages, 3 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Mathematical Physics (math-ph); Optimization and Control (math.OC); Machine Learning (stat.ML)
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