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Machine Learning

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Total of 109 entries : 1-50 51-100 90-109 101-109
Showing up to 50 entries per page: fewer | more | all

Wed, 20 Nov 2024 (showing 20 of 20 entries )

[90] arXiv:2411.12563 [pdf, html, other]
Title: Stream-Based Active Learning for Process Monitoring
Christian Capezza, Antonio Lepore, Kamran Paynabar
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[91] arXiv:2411.12159 [pdf, html, other]
Title: Sensor-fusion based Prognostics Framework for Complex Engineering Systems Exhibiting Multiple Failure Modes
Benjamin Peters, Ayush Mohanty, Xiaolei Fang, Stephen K. Robinson, Nagi Gebraeel
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Systems and Control (eess.SY); Applications (stat.AP)
[92] arXiv:2411.12154 [pdf, html, other]
Title: Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds
Arda Güçlü, Subhonmesh Bose
Comments: 42 pages, 6 Figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Systems and Control (eess.SY)
[93] arXiv:2411.12135 [pdf, other]
Title: Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects
Ke Liang Xiao, Noah Marshall, Atish Agarwala, Elliot Paquette
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[94] arXiv:2411.12068 [pdf, html, other]
Title: The Statistical Accuracy of Neural Posterior and Likelihood Estimation
David T. Frazier, Ryan Kelly, Christopher Drovandi, David J. Warne
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST); Computation (stat.CO)
[95] arXiv:2411.12036 [pdf, html, other]
Title: Prediction-Guided Active Experiments
Ruicheng Ao, Hongyu Chen, David Simchi-Levi
Comments: 25 pages, 11 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Econometrics (econ.EM)
[96] arXiv:2411.12029 [pdf, html, other]
Title: On the Efficiency of ERM in Feature Learning
Ayoub El Hanchi, Chris J. Maddison, Murat A. Erdogdu
Comments: 23 pages, 0 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)
[97] arXiv:2411.12726 (cross-list from math.NA) [pdf, other]
Title: LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport
Lianghao Cao, Joshua Chen, Michael Brennan, Thomas O'Leary-Roseberry, Youssef Marzouk, Omar Ghattas
Subjects: Numerical Analysis (math.NA); Machine Learning (cs.LG); Computation (stat.CO); Machine Learning (stat.ML)
[98] arXiv:2411.12725 (cross-list from cs.GT) [pdf, html, other]
Title: Reinforcement Learning, Collusion, and the Folk Theorem
Galit Askenazi-Golan, Domenico Mergoni Cecchelli, Edward Plumb
Comments: arXiv admin note: text overlap with arXiv:2210.08857 by other authors
Subjects: Computer Science and Game Theory (cs.GT); Theoretical Economics (econ.TH); Machine Learning (stat.ML)
[99] arXiv:2411.12700 (cross-list from cs.LG) [pdf, other]
Title: Learning multivariate Gaussians with imperfect advice
Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Information Theory (cs.IT); Machine Learning (stat.ML)
[100] arXiv:2411.12665 (cross-list from cs.LG) [pdf, html, other]
Title: Auto-Evaluation with Few Labels through Post-hoc Regression
Benjamin Eyre, David Madras
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[101] arXiv:2411.12653 (cross-list from eess.SY) [pdf, html, other]
Title: Smart Predict-then-Optimize Method with Dependent Data: Risk Bounds and Calibration of Autoregression
Jixian Liu, Tao Xu, Jianping He, Chongrong Fang
Comments: 10 pages
Subjects: Systems and Control (eess.SY); Machine Learning (stat.ML)
[102] arXiv:2411.12555 (cross-list from stat.ME) [pdf, html, other]
Title: Multivariate and Online Transfer Learning with Uncertainty Quantification
Jimmy Hickey, Jonathan P. Williams, Brian J. Reich, Emily C. Hector
Comments: 30 pages, 1 figure, 17 tables
Subjects: Methodology (stat.ME); Machine Learning (stat.ML)
[103] arXiv:2411.12502 (cross-list from cs.LG) [pdf, html, other]
Title: Transformer Neural Processes -- Kernel Regression
Daniel Jenson, Jhonathan Navott, Mengyan Zhang, Makkunda Sharma, Elizaveta Semenova, Seth Flaxman
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[104] arXiv:2411.12438 (cross-list from cs.DS) [pdf, other]
Title: Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures
Prashanti Anderson, Mitali Bafna, Rares-Darius Buhai, Pravesh K. Kothari, David Steurer
Comments: 64 pages
Subjects: Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Machine Learning (stat.ML)
[105] arXiv:2411.12193 (cross-list from stat.AP) [pdf, html, other]
Title: Hierarchical Spatio-Temporal Uncertainty Quantification for Distributed Energy Adoption
Wenbin Zhou, Shixiang Zhu, Feng Qiu, Xuan Wu
Subjects: Applications (stat.AP); Machine Learning (cs.LG); Machine Learning (stat.ML)
[106] arXiv:2411.12127 (cross-list from cs.LG) [pdf, html, other]
Title: Fine-Grained Uncertainty Quantification via Collisions
Jesse Friedbaum, Sudarshan Adiga, Ravi Tandon
Subjects: Machine Learning (cs.LG); Information Theory (cs.IT); Statistics Theory (math.ST); Machine Learning (stat.ML)
[107] arXiv:2411.12102 (cross-list from cs.LG) [pdf, html, other]
Title: BALI: Learning Neural Networks via Bayesian Layerwise Inference
Richard Kurle, Alexej Klushyn, Ralf Herbrich
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[108] arXiv:2411.12060 (cross-list from cs.LG) [pdf, html, other]
Title: Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features
Joachim Schaeffer, Jinwook Rhyu, Robin Droop, Rolf Findeisen, Richard Braatz
Comments: This manuscript is a short communication. 9 pages, 4 figures
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[109] arXiv:2411.12013 (cross-list from q-fin.MF) [pdf, html, other]
Title: Pricing Weather Derivatives: A Time Series Neural Network Approach
Marco Hening-Tallarico, Pablo Olivares
Subjects: Mathematical Finance (q-fin.MF); Machine Learning (cs.LG); Statistical Finance (q-fin.ST); Machine Learning (stat.ML)
Total of 109 entries : 1-50 51-100 90-109 101-109
Showing up to 50 entries per page: fewer | more | all