Machine Learning (stat)

Papers filed under stat.ML on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1,921 to 1,980 of 6,780

Geometry-Constrained Kolmogorov-Arnold Networks: Learning Edge Geometry via Banach Duality
K S Sesh Kumar
cs.LGstat.MLarXiv:2608.25807v12026
Deep Skew-t Mixture Models
Jinran Wu, You-Gan Wang, Geoffrey J. McLachlan
stat.MEstat.COstat.MLarXiv:2609.00773v12026
Structured Learning on Mapper Representations
George Babus, Farzana Nasrin
stat.MLcs.LGarXiv:2608.22044v12026
Reinforcement Learning with Action Chunking
Qiyang Li, Zhiyuan Zhou, Sergey Levine
cs.LGcs.AIcs.ROarXiv:2507.07969v42025
Learning to Act from Actionless Videos through Dense Correspondences
Po-Chen Ko, Jiayuan Mao, Yilun Du +2
cs.ROcs.CVcs.LGarXiv:2310.08576v12023
Simplified and Generalized Masked Diffusion for Discrete Data
Jiaxin Shi, Kehang Han, Zhe Wang +2
cs.LGstat.MLarXiv:2406.04329v42024
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Sebastian Ament, Samuel Daulton, David Eriksson +2
cs.LGmath.NAstat.MLarXiv:2310.20708v32023
Summaries:한국어
Negative Momentum for Improved Game Dynamics
Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki +4
cs.LGstat.MLarXiv:1807.04740v52018
From parcel to continental scale -- A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations
Raphaël d'Andrimont, Astrid Verhegghen, Guido Lemoine +3
stat.MLcs.LGstat.AParXiv:2105.09261v22021
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art
Mohammad Braei, Sebastian Wagner
cs.LGstat.MLarXiv:2004.00433v12020
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
André M. Carrington, Douglas G. Manuel, Paul W. Fieguth +9
stat.MEcs.AIcs.LGarXiv:2103.11357v12021
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning
Harsh Chaudhari, Rahul Rachuri, Ajith Suresh
cs.LGcs.CRstat.MLarXiv:1912.02631v22019
DL-Droid: Deep learning based android malware detection using real devices
Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer
cs.CRcs.LGcs.NEarXiv:1911.10113v12019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa +18
cs.LGcs.MSstat.MLarXiv:1912.01703v12019
Summaries:한국어
Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction
Hanna Meyer, Christoph Reudenbach, Stephan Wöllauer +1
stat.APcs.LGstat.MLarXiv:1908.07805v12019
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
Colin Wei, Jason D. Lee, Qiang Liu +1
stat.MLcs.LGarXiv:1810.05369v42018
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar, Michael Heinzinger, Christian Dallago +9
cs.LGcs.CLcs.DCarXiv:2007.06225v32020
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges
Solmaz Niknam, Harpreet S. Dhillon, Jeffery H. Reed
eess.SPcs.LGstat.MLarXiv:1908.06847v42019
Attributed Graph Clustering via Adaptive Graph Convolution
Xiaotong Zhang, Han Liu, Qimai Li +1
cs.LGcs.AIstat.MLarXiv:1906.01210v12019
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing
Siddharth Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
cs.LGcs.HCeess.SParXiv:1905.07039v12019
Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data
Taeho Jo, Kwangsik Nho, Andrew J. Saykin
eess.IVcs.LGstat.MLarXiv:1905.00931v42019
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Sebastian Raschka
cs.LGstat.MLarXiv:1811.12808v32018
Tensor Decomposition for Signal Processing and Machine Learning
Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu +3
stat.MLcs.LGmath.NAarXiv:1607.01668v22016
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
John R. Hershey, Jonathan Le Roux, Felix Weninger
cs.LGcs.NEstat.MLarXiv:1409.2574v42014
Embedding Projector: Interactive Visualization and Interpretation of Embeddings
Daniel Smilkov, Nikhil Thorat, Charles Nicholson +3
stat.MLcs.HCarXiv:1611.05469v12016
Bellman Calibration for Marginalized Importance Weighting in Offline Reinforcement Learning
Lars van der Laan, Nathan Kallus
cs.LGstat.MLarXiv:2608.24858v12026
Data-driven techniques for translational neuroscience and personalized neuro-health
Vishal Subedi, Shashipraba N. K. Rajakaruna, Pratyusha Sarkar +10
q-bio.NCcs.AIcs.LGarXiv:2608.13749v12026
A Comparison of Optimization Algorithms for Deep Learning
Derya Soydaner
cs.LGstat.MLarXiv:2007.14166v12020
f-GRPO and Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment
Rajdeep Haldar, Lantao Mei, Guang Lin +2
cs.LGstat.MLarXiv:2602.05946v32026
xLSTM: Extended Long Short-Term Memory
Maximilian Beck, Korbinian Pöppel, Markus Spanring +6
cs.LGcs.AIstat.MLarXiv:2405.04517v22024
LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng, Arash Vahdat, Francis Williams +4
cs.CVcs.LGstat.MLarXiv:2210.06978v12022
Deep Semi-Supervised Anomaly Detection
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz +4
cs.LGstat.MLarXiv:1906.02694v22019
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama +1
stat.MLcs.LGarXiv:1704.03976v22017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj, Giuseppe Ateniese, Fernando Perez-Cruz
cs.CRcs.LGstat.MLarXiv:1702.07464v32017
Comparing deep neural networks against humans: object recognition when the signal gets weaker
Robert Geirhos, David H. J. Janssen, Heiko H. Schütt +3
cs.CVq-bio.NCstat.MLarXiv:1706.06969v22017
Machine Teaching: A New Paradigm for Building Machine Learning Systems
Patrice Y. Simard, Saleema Amershi, David M. Chickering +8
cs.LGcs.AIcs.HCarXiv:1707.06742v32017
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach, Aviv Tamar, Ge Yang +2
cs.LGcs.AIcs.CVarXiv:1807.09341v12018
Deep learning with convolutional neural networks for decoding and visualization of EEG pathology
Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger +2
cs.LGcs.NEstat.MLarXiv:1708.08012v32017
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro +1
cs.LGcs.AIstat.MLarXiv:2101.05265v22021
ICON Decomposition: Multivariate Concept-Level Explanations of Deep Representations for Model Auditing
Roshan Prakash Rane, Marco Simnacher, Manuel Pfeuffer +7
cs.LGcs.AIcs.CVarXiv:2608.26083v12026
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
Franck Dernoncourt, Ji Young Lee, Peter Szolovits
cs.CLcs.NEstat.MLarXiv:1705.05487v12017
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning
Jyotibdha Acharya, Arindam Basu
eess.AScs.LGcs.SDarXiv:2004.08287v12020
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
cs.LGstat.MLarXiv:2005.10996v12020
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
Minshuo Chen, Kaixuan Huang, Tuo Zhao +1
cs.LGstat.MLarXiv:2302.07194v12023
Certified Defenses for Adversarial Patches
Ping-Yeh Chiang, Renkun Ni, Ahmed Abdelkader +3
cs.CRcs.LGstat.MLarXiv:2003.06693v22020
Implicit Gradient Regularization
David G. T. Barrett, Benoit Dherin
cs.LGstat.MLarXiv:2009.11162v32020
VAFL: a Method of Vertical Asynchronous Federated Learning
Tianyi Chen, Xiao Jin, Yuejiao Sun +1
cs.LGcs.DCmath.OCarXiv:2007.06081v12020
prDeep: Robust Phase Retrieval with a Flexible Deep Network
Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan +1
stat.MLcs.LGarXiv:1803.00212v22018
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
Kelvin Guu, Panupong Pasupat, Evan Zheran Liu +1
cs.AIcs.LGstat.MLarXiv:1704.07926v12017
Mutual Information, Neural Networks and the Renormalization Group
Maciej Koch-Janusz, Zohar Ringel
cond-mat.dis-nncond-mat.stat-mechcs.ITarXiv:1704.06279v22017
Multiple decision trees
Suk Wah Kwok, Chris Carter
cs.LGcs.AIstat.MLarXiv:1304.2363v12013
Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models
Jinran Wu, You-Gan Wang, Geoffrey J. McLachlan
stat.MLcs.LGarXiv:2609.00774v12026
Online Generalized Sparse Regression: How Does Overparametrization Help?
Shuoguang Yang, Qiang Sun
stat.MLcs.LGmath.STarXiv:2608.17466v12026
Deep Vision in Smart Manufacturing: MODERN Framework for Intelligent Quality Monitoring and Diagnosis
Yicheng Kang, Yuling Jiao, Xin Geng +1
stat.MLcs.LGarXiv:2608.13937v12026
Optimal Lower Bounds for Networked Information Aggregation
Ambar Pal
cs.LGcs.AIstat.MLarXiv:2608.15472v12026
Negligible in Size, Significant in Effect: On Scale Vectors in Large Language Models
Mingze Wang, Shuchen Zhu, Yuxin Fang +3
cs.LGcs.AIstat.MLarXiv:2605.26895v12026
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning
Navid Naderializadeh, Jaroslaw Sydir, Meryem Simsek +1
cs.LGcs.ITcs.MAarXiv:2002.06215v22020
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning
Jinyuan Jia, Neil Zhenqiang Gong
cs.CRstat.MLarXiv:1805.04810v22018
Fairness in Credit Scoring: Assessment, Implementation and Profit Implications
Nikita Kozodoi, Johannes Jacob, Stefan Lessmann
stat.MLcs.LGq-fin.RMarXiv:2103.01907v42021
Principled Reinforcement Learning with Human Feedback from Pairwise or $K$-wise Comparisons
Banghua Zhu, Jiantao Jiao, Michael I. Jordan
cs.LGcs.AIcs.HCarXiv:2301.11270v52023

Machine Learning (stat)

Geometry-Constrained Kolmogorov-Arnold Networks: Learning Edge Geometry via Banach Duality

Deep Skew-t Mixture Models

Structured Learning on Mapper Representations

Reinforcement Learning with Action Chunking

Learning to Act from Actionless Videos through Dense Correspondences

Simplified and Generalized Masked Diffusion for Discrete Data

Unexpected Improvements to Expected Improvement for Bayesian Optimization

Negative Momentum for Improved Game Dynamics

From parcel to continental scale -- A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art

Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning

DL-Droid: Deep learning based android malware detection using real devices

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction

Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges

Attributed Graph Clustering via Adaptive Graph Convolution

Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing

Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data

Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

Tensor Decomposition for Signal Processing and Machine Learning

Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures

Embedding Projector: Interactive Visualization and Interpretation of Embeddings

Bellman Calibration for Marginalized Importance Weighting in Offline Reinforcement Learning

Data-driven techniques for translational neuroscience and personalized neuro-health

A Comparison of Optimization Algorithms for Deep Learning

f-GRPO and Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment

xLSTM: Extended Long Short-Term Memory

LION: Latent Point Diffusion Models for 3D Shape Generation

Deep Semi-Supervised Anomaly Detection

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Comparing deep neural networks against humans: object recognition when the signal gets weaker

Machine Teaching: A New Paradigm for Building Machine Learning Systems

Learning Plannable Representations with Causal InfoGAN

Deep learning with convolutional neural networks for decoding and visualization of EEG pathology

Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning

ICON Decomposition: Multivariate Concept-Level Explanations of Deep Representations for Model Auditing

NeuroNER: an easy-to-use program for named-entity recognition based on neural networks

Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning

Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data

Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data

Certified Defenses for Adversarial Patches

Implicit Gradient Regularization

VAFL: a Method of Vertical Asynchronous Federated Learning

prDeep: Robust Phase Retrieval with a Flexible Deep Network

From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood

Mutual Information, Neural Networks and the Renormalization Group

Multiple decision trees

Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models

Online Generalized Sparse Regression: How Does Overparametrization Help?

Deep Vision in Smart Manufacturing: MODERN Framework for Intelligent Quality Monitoring and Diagnosis

Optimal Lower Bounds for Networked Information Aggregation

Negligible in Size, Significant in Effect: On Scale Vectors in Large Language Models

Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning

AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning

Fairness in Credit Scoring: Assessment, Implementation and Profit Implications

Principled Reinforcement Learning with Human Feedback from Pairwise or $K$-wise Comparisons