Machine Learning

Authors and titles for recent submissions

• Tue, 26 Nov 2024
• Mon, 25 Nov 2024
• Fri, 22 Nov 2024
• Thu, 21 Nov 2024
• Wed, 20 Nov 2024

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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 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)