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Authors and titles for recent submissions, skipping first 98

• Tue, 11 Jun 2024
• Mon, 10 Jun 2024
• Fri, 7 Jun 2024
• Thu, 6 Jun 2024
• Wed, 5 Jun 2024

Mon, 10 Jun 2024 (continued, showing last 24 of 46 entries)

[99]  arXiv:2406.04859 (cross-list from physics.geo-ph) [pdf, other]

Title: Stochastic full waveform inversion with deep generative prior for uncertainty quantification

Authors: Yuke Xie, Hervé Chauris, Nicolas Desassis

Subjects: Geophysics (physics.geo-ph); Machine Learning (cs.LG); Computation (stat.CO)

[100]  arXiv:2406.04843 (cross-list from cs.LG) [pdf, other]

Title: Variational Flow Matching for Graph Generation

Authors: Floor Eijkelboom, Grigory Bartosh, Christian Andersson Naesseth, Max Welling, Jan-Willem van de Meent

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

[101]  arXiv:2406.04827 (cross-list from cs.LG) [pdf, other]

Title: Black Box Differential Privacy Auditing Using Total Variation Distance

Authors: Antti Koskela, Jafar Mohammadi

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

[102]  arXiv:2406.04824 (cross-list from cs.LG) [pdf, other]

Title: FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch

Authors: Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco J. R. Ruiz, Alexis Bellot, Silvia Chiappa

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

[103]  arXiv:2406.04766 (cross-list from cs.LG) [pdf, other]

Title: Reinforcement Learning and Regret Bounds for Admission Control

Authors: Lucas Weber, Ana Bušić, Jiamin Zhu

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

[104]  arXiv:2406.04759 (cross-list from cs.LG) [pdf, other]

Title: Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks

Authors: Joel Oskarsson, Tomas Landelius, Marc Peter Deisenroth, Fredrik Lindsten

Comments: 67 pages, 29 figures. Code is available at this https URL (global forecasting) and this https URL (limited area modeling)

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

[105]  arXiv:2406.04743 (cross-list from cs.LG) [pdf, other]

Title: When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain

Authors: Lei Xu, Yulong Chen, Yuntian Chen, Longfeng Nie, Xuetao Wei, Liang Xue, Dongxiao Zhang

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Distributed, Parallel, and Cluster Computing (cs.DC); Applications (stat.AP)

[106]  arXiv:2406.04739 (cross-list from cs.LG) [pdf, other]

Title: A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences

Authors: Miguel González-Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg, Wouter Boomsma

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

[107]  arXiv:2406.04713 (cross-list from cs.LG) [pdf, other]

Title: FlowMM: Generating Materials with Riemannian Flow Matching

Authors: Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M Wood

Comments: this https URL

Journal-ref: ICML 2024

Subjects: Machine Learning (cs.LG); Materials Science (cond-mat.mtrl-sci); Artificial Intelligence (cs.AI); Computational Physics (physics.comp-ph); Machine Learning (stat.ML)

[108]  arXiv:2406.04706 (cross-list from cs.LG) [pdf, other]

Title: Winner-takes-all learners are geometry-aware conditional density estimators

Authors: Victor Letzelter (LTCI, S2A, IDS, IP Paris), David Perera (LTCI, S2A, IDS, IP Paris), Cédric Rommel, Mathieu Fontaine (LTCI, S2A, IDS, IP Paris), Slim Essid (IDS, S2A, LTCI, IP Paris), Gael Richard (S2A, IDS, LTCI, IP Paris), Patrick Pérez

Comments: International Conference on Machine Learning, Jul 2024, Vienne (Autriche), Austria

Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Signal Processing (eess.SP); Probability (math.PR); Machine Learning (stat.ML)

[109]  arXiv:2406.04690 (cross-list from cs.LG) [pdf, other]

Title: Higher-order Structure Based Anomaly Detection on Attributed Networks

Authors: Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia

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

[110]  arXiv:2406.04657 (cross-list from cs.LG) [pdf, other]

Title: Crafting Heavy-Tails in Weight Matrix Spectrum without Gradient Noise

Authors: Vignesh Kothapalli, Tianyu Pang, Shenyang Deng, Zongmin Liu, Yaoqing Yang

Comments: 31 pages, 37 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Statistics Theory (math.ST); Machine Learning (stat.ML)

[111]  arXiv:2406.04619 (cross-list from cs.LG) [pdf, other]

Title: CTSyn: A Foundational Model for Cross Tabular Data Generation

Authors: Xiaofeng Lin, Chenheng Xu, Matthew Yang, Guang Cheng

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

[112]  arXiv:2406.04592 (cross-list from math.OC) [pdf, ps, other]

Title: Convergence Analysis of Adaptive Gradient Methods under Refined Smoothness and Noise Assumptions

Authors: Devyani Maladkar, Ruichen Jiang, Aryan Mokhtari

Comments: 21 pages

Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)

[113]  arXiv:2406.04588 (cross-list from math.OC) [pdf, ps, other]

Title: A majorized PAM method with subspace correction for low-rank composite factorization model

Authors: Ting Tao, Yitian Qian, Shaohua Pan

Comments: 28 pages, 3 figures

Subjects: Optimization and Control (math.OC); Machine Learning (stat.ML)

[114]  arXiv:2406.04575 (cross-list from cs.LG) [pdf, other]

Title: Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning

Authors: Zhongzheng Wang, Yuntian Chen, Guodong Chen, Dongxiao Zhang

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Applications (stat.AP); Machine Learning (stat.ML)

[115]  arXiv:2406.04562 (cross-list from cs.IT) [pdf, other]

Title: A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition

Authors: Faisal Hamman, Sanghamitra Dutta

Comments: Published as a conference paper at 2024 IEEE International Symposium on Information Theory (ISIT 2024)

Subjects: Information Theory (cs.IT); Computers and Society (cs.CY); Machine Learning (cs.LG); Machine Learning (stat.ML)

[116]  arXiv:2406.04501 (cross-list from cs.LG) [pdf, other]

Title: FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models

Authors: Max Zhu, Adrián Bazaga, Pietro Liò

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (stat.ML)

[117]  arXiv:2406.04487 (cross-list from cs.LG) [pdf, other]

Title: A multi-core periphery perspective: Ranking via relative centrality

Authors: Chandra Sekhar Mukherjee, Jiapeng Zhang

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

[118]  arXiv:2406.04425 (cross-list from cs.LG) [pdf, other]

Title: On Regularization via Early Stopping for Least Squares Regression

Authors: Rishi Sonthalia, Jackie Lok, Elizaveta Rebrova

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Statistics Theory (math.ST); Machine Learning (stat.ML)

[119]  arXiv:2406.04421 (cross-list from cs.LG) [pdf, other]

Title: Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension

Authors: Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes

Comments: 7 pages, 3 figures

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

[120]  arXiv:2406.04374 (cross-list from cs.IR) [pdf, other]

Title: Dynamic Online Recommendation for Two-Sided Market with Bayesian Incentive Compatibility

Authors: Yuantong Li, Guang Cheng, Xiaowu Dai

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

[121]  arXiv:2406.04348 (cross-list from cs.CY) [pdf, other]

Title: Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning

Authors: Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott

Subjects: Computers and Society (cs.CY); Machine Learning (cs.LG); Applications (stat.AP)

[122]  arXiv:2406.03971 (cross-list from econ.EM) [pdf, ps, other]

Title: Comments on B. Hansen's Reply to "A Comment on: `A Modern Gauss-Markov Theorem'", and Some Related Discussion

Authors: Benedikt M. Pötscher

Subjects: Econometrics (econ.EM); Statistics Theory (math.ST)

Fri, 7 Jun 2024 (showing first 1 of 53 entries)

[123]  arXiv:2406.04256 [pdf, other]

Title: Gradient Boosting for Hierarchical Data in Small Area Estimation

Authors: Paul Messer, Timo Schmid

Subjects: Methodology (stat.ME)

• Tue, 11 Jun 2024
• Mon, 10 Jun 2024
• Fri, 7 Jun 2024
• Thu, 6 Jun 2024
• Wed, 5 Jun 2024