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Machine Learning

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Total of 109 entries : 45-94 51-100 101-109
Showing up to 50 entries per page: fewer | more | all

Tue, 26 Nov 2024 (continued, showing last 1 of 45 entries )

[45] arXiv:2411.15179 (cross-list from cs.LG) [pdf, html, other]
Title: Random Forest-Supervised Manifold Alignment
Jake S. Rhodes, Adam G. Rustad
Comments: 4 pages, 3 figures, Accepted at MMAI 2024 (BigData 2024)
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

Mon, 25 Nov 2024 (showing 11 of 11 entries )

[46] arXiv:2411.15095 [pdf, html, other]
Title: Dimension-independent rates for structured neural density estimation
Robert A. Vandermeulen, Wai Ming Tai, Bryon Aragam
Subjects: Machine Learning (stat.ML); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Statistics Theory (math.ST)
[47] arXiv:2411.14875 [pdf, html, other]
Title: Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty
Yanyun Ding, Zhenghua Yao, Peili Li, Yunhai Xiao
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)
[48] arXiv:2411.14665 [pdf, other]
Title: Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data
Lynda Aouar, Han Yu
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Applications (stat.AP); Computation (stat.CO)
[49] arXiv:2411.14664 [pdf, html, other]
Title: Sparsifying Suprema of Gaussian Processes
Anindya De, Shivam Nadimpalli, Ryan O'Donnell, Rocco A. Servedio
Comments: 30 pages
Subjects: Machine Learning (stat.ML); Computational Complexity (cs.CC); Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Probability (math.PR)
[50] arXiv:2411.14446 [pdf, other]
Title: Rising Rested Bandits: Lower Bounds and Efficient Algorithms
Marco Fiandri, Alberto Maria Metelli, Francesco Trov`o
Comments: 62 pages. arXiv admin note: substantial text overlap with arXiv:2212.03798
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[51] arXiv:2411.15014 (cross-list from cs.LG) [pdf, other]
Title: On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
Guojun Xiong, Shufan Wang, Daniel Jiang, Jian Li
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)
[52] arXiv:2411.14991 (cross-list from cs.AI) [pdf, html, other]
Title: Free Energy Projective Simulation (FEPS): Active inference with interpretability
Joséphine Pazem, Marius Krumm, Alexander Q. Vining, Lukas J. Fiderer, Hans J. Briegel
Comments: 26 pages (including 5 pages appendix), 6 figures
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Neurons and Cognition (q-bio.NC); Machine Learning (stat.ML)
[53] arXiv:2411.14679 (cross-list from cs.LG) [pdf, html, other]
Title: Recursive Gaussian Process State Space Model
Tengjie Zheng, Lin Cheng, Shengping Gong, Xu Huang
Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Machine Learning (stat.ML)
[54] arXiv:2411.14674 (cross-list from stat.ME) [pdf, html, other]
Title: Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
Khai Nguyen, Peter Mueller
Comments: 37 pages, 2 figures, 6 tables
Subjects: Methodology (stat.ME); Applications (stat.AP); Computation (stat.CO); Machine Learning (stat.ML)
[55] arXiv:2411.14570 (cross-list from stat.ME) [pdf, html, other]
Title: Gradient-based optimization for variational empirical Bayes multiple regression
Saikat Banerjee, Peter Carbonetto, Matthew Stephens
Subjects: Methodology (stat.ME); Computation (stat.CO); Machine Learning (stat.ML)
[56] arXiv:2411.14349 (cross-list from cs.LG) [pdf, html, other]
Title: Agnostic Learning of Arbitrary ReLU Activation under Gaussian Marginals
Anxin Guo, Aravindan Vijayaraghavan
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)

Fri, 22 Nov 2024 (showing 15 of 15 entries )

[57] arXiv:2411.14351 [pdf, html, other]
Title: Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians
William N. Caballero, Matthew LaRosa, Alexander Fisher, Vahid Tarokh
Comments: 30 pages, 6 figures; 4 tables
Subjects: Machine Learning (stat.ML); Cryptography and Security (cs.CR); Machine Learning (cs.LG); Applications (stat.AP)
[58] arXiv:2411.14341 [pdf, other]
Title: Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect
Ojash Neopane, Aaditya Ramdas, Aarti Singh
Comments: 12 pages, 2 figures. Submitted to AISTATS 2025
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[59] arXiv:2411.13922 [pdf, html, other]
Title: Exponentially Consistent Nonparametric Clustering of Data Streams
Bhupender Singh, Ananth Ram Rajagopalan, Srikrishna Bhashyam
Subjects: Machine Learning (stat.ML); Information Theory (cs.IT); Machine Learning (cs.LG); Signal Processing (eess.SP)
[60] arXiv:2411.14305 (cross-list from cs.DS) [pdf, html, other]
Title: Outlier-robust Mean Estimation near the Breakdown Point via Sum-of-Squares
Hongjie Chen, Deepak Narayanan Sridharan, David Steurer
Comments: Accepted at SODA 2025, 47 pages
Subjects: Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Machine Learning (stat.ML)
[61] arXiv:2411.14288 (cross-list from cs.LG) [pdf, html, other]
Title: On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing
Arash Behboodi, Gabriele Cesa
Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML)
[62] arXiv:2411.14166 (cross-list from math.OC) [pdf, other]
Title: SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
Shuchen Zhu, Boao Kong, Songtao Lu, Xinmeng Huang, Kun Yuan
Comments: 73 pages, the Thirty-Eighth Annual Conference on Neural Information Processing Systems (2024)
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)
[63] arXiv:2411.14003 (cross-list from cs.LG) [pdf, html, other]
Title: Generative Intervention Models for Causal Perturbation Modeling
Nora Schneider, Lars Lorch, Niki Kilbertus, Bernhard Schölkopf, Andreas Krause
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[64] arXiv:2411.13887 (cross-list from math.AT) [pdf, html, other]
Title: A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity
JunJie Wee, Xue Gong, Wilderich Tuschmann, Kelin Xia
Comments: 14 pages, 3 figures
Subjects: Algebraic Topology (math.AT); Materials Science (cond-mat.mtrl-sci); Computational Geometry (cs.CG); Metric Geometry (math.MG); Machine Learning (stat.ML)
[65] arXiv:2411.13868 (cross-list from cs.LG) [pdf, html, other]
Title: Robust Detection of Watermarks for Large Language Models Under Human Edits
Xiang Li, Feng Ruan, Huiyuan Wang, Qi Long, Weijie J. Su
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Statistics Theory (math.ST); Methodology (stat.ME); Machine Learning (stat.ML)
[66] arXiv:2411.13821 (cross-list from cs.LG) [pdf, html, other]
Title: Heterophilic Graph Neural Networks Optimization with Causal Message-passing
Botao Wang, Jia Li, Heng Chang, Keli Zhang, Fugee Tsung
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[67] arXiv:2411.13763 (cross-list from math.ST) [pdf, html, other]
Title: Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data
Jingyi Duan, Yang Ning
Subjects: Statistics Theory (math.ST); Methodology (stat.ME); Machine Learning (stat.ML)
[68] arXiv:2411.13733 (cross-list from cs.LG) [pdf, html, other]
Title: On Generalization Bounds for Neural Networks with Low Rank Layers
Andrea Pinto, Akshay Rangamani, Tomaso Poggio
Comments: Published in the MIT DSpace repository: this https URL
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[69] arXiv:2411.13711 (cross-list from cs.LG) [pdf, html, other]
Title: Almost Sure Convergence Rates and Concentration of Stochastic Approximation and Reinforcement Learning with Markovian Noise
Xiaochi Qian, Zixuan Xie, Xinyu Liu, Shangtong Zhang
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)
[70] arXiv:2411.13688 (cross-list from cs.LG) [pdf, other]
Title: Investigating Graph Neural Networks and Classical Feature-Extraction Techniques in Activity-Cliff and Molecular Property Prediction
Markus Dablander
Comments: Doctoral Thesis (Mathematical Institute, University of Oxford)
Subjects: Machine Learning (cs.LG); Biomolecules (q-bio.BM); Machine Learning (stat.ML)
[71] arXiv:2411.13653 (cross-list from cs.AI) [pdf, other]
Title: No Free Delivery Service: Epistemic limits of passive data collection in complex social systems
Maximilian Nickel
Comments: To appear in NeurIPS'24
Subjects: Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

Thu, 21 Nov 2024 (showing 18 of 18 entries )

[72] arXiv:2411.13479 [pdf, html, other]
Title: Conformal Prediction for Hierarchical Data
Guillaume Principato, Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Jean-Michel Poggi, Gilles Stoltz
Comments: 14 pages, 2 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Applications (stat.AP)
[73] arXiv:2411.13396 [pdf, html, other]
Title: Sensitivity Analysis on Policy-Augmented Graphical Hybrid Models with Shapley Value Estimation
Junkai Zhao, Wei Xie, Jun Luo
Subjects: Machine Learning (stat.ML); Computation (stat.CO)
[74] arXiv:2411.12995 [pdf, html, other]
Title: Eliminating Ratio Bias for Gradient-based Simulated Parameter Estimation
Zehao Li, Yijie Peng
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)
[75] arXiv:2411.12965 [pdf, html, other]
Title: On adaptivity and minimax optimality of two-sided nearest neighbors
Tathagata Sadhukhan, Manit Paul, Raaz Dwivedi
Comments: 29 pages, 7 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST); Methodology (stat.ME)
[76] arXiv:2411.12878 [pdf, other]
Title: Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit
Seok-Jin Kim, Min-hwan Oh
Comments: NeurIPS2024
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[77] arXiv:2411.12854 [pdf, other]
Title: A new Input Convex Neural Network with application to options pricing
Vincent Lemaire, Gilles Pagès, Christian Yeo
Comments: 29 pages
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[78] arXiv:2411.12786 [pdf, html, other]
Title: Off-policy estimation with adaptively collected data: the power of online learning
Jeonghwan Lee, Cong Ma
Comments: 37 pages. Accepted to the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, British Columbia, Canada
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC); Statistics Theory (math.ST)
[79] arXiv:2411.13462 (cross-list from cs.DS) [pdf, html, other]
Title: Sampling and Integration of Logconcave Functions by Algorithmic Diffusion
Yunbum Kook, Santosh S. Vempala
Comments: 60 pages, 1 figure
Subjects: Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML)
[80] arXiv:2411.13443 (cross-list from math.NA) [pdf, other]
Title: Nonlinear Assimilation with Score-based Sequential Langevin Sampling
Zhao Ding, Chenguang Duan, Yuling Jiao, Jerry Zhijian Yang, Cheng Yuan, Pingwen Zhang
Subjects: Numerical Analysis (math.NA); Optimization and Control (math.OC); Machine Learning (stat.ML)
[81] arXiv:2411.13361 (cross-list from physics.comp-ph) [pdf, html, other]
Title: Integration of Active Learning and MCMC Sampling for Efficient Bayesian Calibration of Mechanical Properties
Leon Riccius, Iuri B.C.M. Rocha, Joris Bierkens, Hanne Kekkonen, Frans P. van der Meer
Comments: 28 pages, 14 figures
Subjects: Computational Physics (physics.comp-ph); Applications (stat.AP); Machine Learning (stat.ML)
[82] arXiv:2411.13169 (cross-list from cs.LG) [pdf, html, other]
Title: A Unified Analysis for Finite Weight Averaging
Peng Wang, Li Shen, Zerui Tao, Yan Sun, Guodong Zheng, Dacheng Tao
Comments: 34 pages
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)
[83] arXiv:2411.13083 (cross-list from cs.LG) [pdf, html, other]
Title: Omnipredicting Single-Index Models with Multi-Index Models
Lunjia Hu, Kevin Tian, Chutong Yang
Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Optimization and Control (math.OC); Machine Learning (stat.ML)
[84] arXiv:2411.13029 (cross-list from cs.LG) [pdf, html, other]
Title: Probably Approximately Precision and Recall Learning
Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[85] arXiv:2411.13028 (cross-list from cs.LG) [pdf, html, other]
Title: A Theory for Compressibility of Graph Transformers for Transductive Learning
Hamed Shirzad, Honghao Lin, Ameya Velingker, Balaji Venkatachalam, David Woodruff, Danica Sutherland
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[86] arXiv:2411.12925 (cross-list from cs.LG) [pdf, html, other]
Title: Loss-to-Loss Prediction: Scaling Laws for All Datasets
David Brandfonbrener, Nikhil Anand, Nikhil Vyas, Eran Malach, Sham Kakade
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (stat.ML)
[87] arXiv:2411.12886 (cross-list from q-bio.BM) [pdf, html, other]
Title: NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical Language Models
Koh Sakano, Kairi Furui, Masahito Ohue
Subjects: Biomolecules (q-bio.BM); Machine Learning (cs.LG); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)
[88] arXiv:2411.12843 (cross-list from cs.LG) [pdf, html, other]
Title: Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
Shang Liu, Yu Pan, Guanting Chen, Xiaocheng Li
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (stat.ML)
[89] arXiv:2411.12753 (cross-list from q-fin.TR) [pdf, html, other]
Title: Supervised Autoencoders with Fractionally Differentiated Features and Triple Barrier Labelling Enhance Predictions on Noisy Data
Bartosz Bieganowski, Robert Ślepaczuk
Comments: arXiv admin note: substantial text overlap with arXiv:2404.01866
Subjects: Trading and Market Microstructure (q-fin.TR); Machine Learning (cs.LG); Computation (stat.CO); Machine Learning (stat.ML)

Wed, 20 Nov 2024 (showing first 5 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)
Total of 109 entries : 45-94 51-100 101-109
Showing up to 50 entries per page: fewer | more | all