Machine Learning

Authors and titles for recent submissions, skipping first 18

• Fri, 24 May 2024
• Wed, 22 May 2024
• Tue, 21 May 2024
• Mon, 20 May 2024
• Fri, 17 May 2024

Fri, 24 May 2024 (continued, showing 25 of 68 entries)

[19]  arXiv:2405.13846 [pdf, other]

Title: Regression Trees Know Calculus

Authors: Nathan Wycoff

Comments: Comments very welcome!

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

[20]  arXiv:2405.13794 [pdf, other]

Title: Conditioning diffusion models by explicit forward-backward bridging

Authors: Adrien Corenflos, Zheng Zhao, Simo Särkkä, Jens Sjölund, Thomas B. Schön

Comments: 24 pages, 12 figures

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Computation (stat.CO); Methodology (stat.ME)

[21]  arXiv:2405.13731 [pdf, other]

Title: Control, Transport and Sampling: Towards Better Loss Design

Authors: Qijia Jiang, David Nabergoj

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

[22]  arXiv:2405.13587 [pdf, other]

Title: Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals

Authors: Christian Holberg, Cristopher Salvi

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

[23]  arXiv:2405.13481 [pdf, other]

Title: Locally Private Estimation with Public Features

Authors: Yuheng Ma, Ke Jia, Hanfang Yang

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

[24]  arXiv:2405.13456 [pdf, other]

Title: Deep linear networks for regression are implicitly regularized towards flat minima

Authors: Pierre Marion, Lénaïc Chizat

Comments: 46 pages, 4 figures

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

[25]  arXiv:2405.13302 [pdf, other]

Title: Accelerated Evaluation of Ollivier-Ricci Curvature Lower Bounds: Bridging Theory and Computation

Authors: Wonwoo Kang, Heehyun Park

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

[26]  arXiv:2405.13160 [pdf, other]

Title: Borrowing Strength in Distributionally Robust Optimization via Hierarchical Dirichlet Processes

Authors: Nicola Bariletto, Khai Nguyen, Nhat Ho

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

[27]  arXiv:2405.13149 [pdf, other]

Title: Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation

Authors: Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M Stuart

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Numerical Analysis (math.NA); Probability (math.PR); Computation (stat.CO)

[28]  arXiv:2405.13073 [pdf, other]

Title: A graph-structured distance for heterogeneous datasets with meta variables

Authors: Edward Hallé-Hannan, Charles Audet, Youssef Diouane, Sébastien Le Digabel, Paul Saves

Comments: 25 pages (without references), 5 figures, data and scripts available at this https URL

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

[29]  arXiv:2405.14861 (cross-list from cs.LG) [pdf, ps, other]

Title: Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models

Authors: Gen Li, Yuling Yan

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

[30]  arXiv:2405.14822 (cross-list from cs.CV) [pdf, other]

Title: PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher

Authors: Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon

Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Machine Learning (stat.ML)

[31]  arXiv:2405.14806 (cross-list from physics.data-an) [pdf, other]

Title: Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics

Authors: Jonas Spinner, Victor Bresó, Pim de Haan, Tilman Plehn, Jesse Thaler, Johann Brehmer

Comments: 10+12 pages, 5+2 figures, 2 tables

Subjects: Data Analysis, Statistics and Probability (physics.data-an); Machine Learning (cs.LG); High Energy Physics - Phenomenology (hep-ph); Machine Learning (stat.ML)

[32]  arXiv:2405.14780 (cross-list from cs.LG) [pdf, other]

Title: Metric Flow Matching for Smooth Interpolations on the Data Manifold

Authors: Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael Bronstein, Avishek Joey Bose, Francesco Di Giovanni

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

[33]  arXiv:2405.14711 (cross-list from stat.ME) [pdf, other]

Title: Zero-inflation in the Multivariate Poisson Lognormal Family

Authors: Bastien Batardière, Julien Chiquet, François Gindraud, Mahendra Mariadassou

Comments: 27 pages including appendices. 8 figures, 1 table

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

[34]  arXiv:2405.14681 (cross-list from cs.LG) [pdf, other]

Title: Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss

Authors: Yi-Shan Wu, Yijie Zhang, Badr-Eddine Chérief-Abdellatif, Yevgeny Seldin

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

[35]  arXiv:2405.14657 (cross-list from cs.LG) [pdf, other]

Title: Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions

Authors: Marshal Arijona Sinaga, Julien Martinelli, Vikas Garg, Samuel Kaski

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

[36]  arXiv:2405.14547 (cross-list from cs.LG) [pdf, other]

Title: Causal Effect Identification in a Sub-Population with Latent Variables

Authors: Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash, Matthias Grossglauser

Comments: 19 pages, 5 figures

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

[37]  arXiv:2405.14544 (cross-list from cs.LG) [pdf, other]

Title: Nuclear Norm Regularization for Deep Learning

Authors: Christopher Scarvelis, Justin Solomon

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

[38]  arXiv:2405.14522 (cross-list from cs.LG) [pdf, other]

Title: Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property

Authors: Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[39]  arXiv:2405.14508 (cross-list from q-bio.QM) [pdf, other]

Title: Prediction of cancer dynamics under treatment using Bayesian neural networks: A simulated study

Authors: Even Moa Myklebust, Arnoldo Frigessi, Fredrik Schjesvold, Jasmine Foo, Kevin Leder, Alvaro Köhn-Luque

Comments: 22 pages, 10 figures

Subjects: Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)

[40]  arXiv:2405.14492 (cross-list from stat.ME) [pdf, other]

Title: Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data

Authors: Tim Gyger, Reinhard Furrer, Fabio Sigrist

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

[41]  arXiv:2405.14468 (cross-list from cs.LG) [pdf, other]

Title: Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?

Authors: Peter Súkeník, Marco Mondelli, Christoph Lampert

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

[42]  arXiv:2405.14440 (cross-list from cs.LG) [pdf, other]

Title: Bayesian Adaptive Calibration and Optimal Design

Authors: Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin Bonilla

Comments: Preprint, currently under review

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

[43]  arXiv:2405.14425 (cross-list from cs.LG) [pdf, other]

Title: When predict can also explain: few-shot prediction to select better neural latents

Authors: Kabir Dabholkar, Omri Barak

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

• Fri, 24 May 2024
• Wed, 22 May 2024
• Tue, 21 May 2024
• Mon, 20 May 2024
• Fri, 17 May 2024