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Authors and titles for recent submissions, skipping first 92

• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024
• Fri, 10 May 2024
• Thu, 9 May 2024

Tue, 14 May 2024 (continued, showing last 16 of 72 entries)

[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)

[101]  arXiv:2405.07038 (cross-list from cs.GT) [pdf, other]

Title: Conformal Online Auction Design

Authors: Jiale Han, Xiaowu Dai

Subjects: Computer Science and Game Theory (cs.GT); Machine Learning (cs.LG); Machine Learning (stat.ML)

[102]  arXiv:2405.07020 (cross-list from cs.LG) [pdf, other]

Title: Adaptive Online Bayesian Estimation of Frequency Distributions with Local Differential Privacy

Authors: Soner Aydin, Sinan Yildirim

Comments: Code for experiments available at this https URL

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Machine Learning (stat.ML)

[103]  arXiv:2405.06992 (cross-list from cs.LG) [pdf, ps, other]

Title: ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks

Authors: Wankang Zhai

Comments: 7pages, 7figures

Subjects: Machine Learning (cs.LG); Applications (stat.AP)

[104]  arXiv:2405.06902 (cross-list from cs.LG) [pdf, ps, other]

Title: Causal Inference from Slowly Varying Nonstationary Processes

Authors: Kang Du, Yu Xiang

Comments: Accepted to the IEEE Transactions on Signal and Information Processing over Networks. arXiv admin note: substantial text overlap with arXiv:2012.13025

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[105]  arXiv:2405.06851 (cross-list from q-bio.NC) [pdf, other]

Title: Nonlinear classification of neural manifolds with contextual information

Authors: Francesca Mignacco, Chi-Ning Chou, SueYeon Chung

Comments: 5 pages, 5 figures

Subjects: Neurons and Cognition (q-bio.NC); Disordered Systems and Neural Networks (cond-mat.dis-nn); Statistical Mechanics (cond-mat.stat-mech); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)

[106]  arXiv:2405.06848 (cross-list from cs.LG) [pdf, other]

Title: ISR: Invertible Symbolic Regression

Authors: Tony Tohme, Mohammad Javad Khojasteh, Mohsen Sadr, Florian Meyer, Kamal Youcef-Toumi

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Machine Learning (stat.ML)

[107]  arXiv:2405.06779 (cross-list from econ.EM) [pdf, other]

Title: Generalization Problems in Experiments Involving Multidimensional Decisions

Authors: Jiawei Fu, Xiaojun Li

Subjects: Econometrics (econ.EM); Applications (stat.AP)

[108]  arXiv:2405.06774 (cross-list from q-fin.RM) [pdf, ps, other]

Title: Hedging American Put Options with Deep Reinforcement Learning

Authors: Reilly Pickard, Finn Wredenhagen, Julio DeJesus, Mario Schlener, Yuri Lawryshyn

Subjects: Risk Management (q-fin.RM); Machine Learning (cs.LG); Machine Learning (stat.ML)

Mon, 13 May 2024 (showing first 9 of 32 entries)

[109]  arXiv:2405.06635 [pdf, ps, other]

Title: Multivariate Interval-Valued Models in Frequentist and Bayesian Schemes

Authors: Ali Sadeghkhani, Abdolnasser Sadeghkhani

Subjects: Methodology (stat.ME)

[110]  arXiv:2405.06613 [pdf, other]

Title: Simultaneously detecting spatiotemporal changes with penalized Poisson regression models

Authors: Zerui Zhang, Xin Wang, Xin Zhang, Jing Zhang

Subjects: Methodology (stat.ME)

[111]  arXiv:2405.06559 [pdf, other]

Title: The landscapemetrics and motif packages for measuring landscape patterns and processes

Authors: Jakub Nowosad, Maximilian H.K. Hesselbarth

Subjects: Methodology (stat.ME); Applications (stat.AP)

[112]  arXiv:2405.06558 [pdf, ps, other]

Title: Random matrix theory improved Fréchet mean of symmetric positive definite matrices

Authors: Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Signal Processing (eess.SP); Methodology (stat.ME)

[113]  arXiv:2405.06549 [pdf, ps, other]

Title: Sampling the Swadesh List to Identify Similar Languages with Tree Spaces

Authors: Garett Ordway, Vic Patrangenaru

Comments: 19 pages, 26 figures

Subjects: Applications (stat.AP); Computation and Language (cs.CL)

[114]  arXiv:2405.06546 [pdf, other]

Title: Sharp analysis of out-of-distribution error for "importance-weighted" estimators in the overparameterized regime

Authors: Kuo-Wei Lai, Vidya Muthukumar

Comments: A short version of this work will be presented at IEEE ISIT 2024

Subjects: Machine Learning (stat.ML); Information Theory (cs.IT); Machine Learning (cs.LG)

[115]  arXiv:2405.06479 [pdf, other]

Title: Informativeness of Weighted Conformal Prediction

Authors: Mufang Ying, Wenge Guo, Koulik Khamaru, Ying Hung

Comments: 25 pages

Subjects: Methodology (stat.ME); Machine Learning (stat.ML)

[116]  arXiv:2405.06477 [pdf, ps, other]

Title: Asymptotic Normality of $U$-Statistics is Equivalent to Convergence in the Wasserstein Distance

Authors: Marius Kroll

Subjects: Statistics Theory (math.ST)

[117]  arXiv:2405.06437 [pdf, ps, other]

Title: Generalized van Trees inequality: Local minimax bounds for non-smooth functionals and irregular statistical models

Authors: Kenta Takatsu, Arun Kumar Kuchibhotla

Subjects: Statistics Theory (math.ST)

• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024
• Fri, 10 May 2024
• Thu, 9 May 2024