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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5,341 to 5,400 of 6,790

Google Research Football: A Novel Reinforcement Learning Environment
Karol Kurach, Anton Raichuk, Piotr Stańczyk +8
cs.LGstat.MLarXiv:1907.11180v22019
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements
Sebastian Caldas, Jakub Konečny, H. Brendan McMahan +1
cs.LGcs.DCstat.MLarXiv:1812.07210v22018
To Trust Or Not To Trust A Classifier
Heinrich Jiang, Been Kim, Melody Y. Guan +1
stat.MLcs.LGarXiv:1805.11783v22018
Label-Consistent Backdoor Attacks
Alexander Turner, Dimitris Tsipras, Aleksander Madry
stat.MLcs.CRcs.LGarXiv:1912.02771v22019
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li, Chenxin Xiong, Ali Thabet +1
cs.LGcs.CVstat.MLarXiv:2006.07739v12020
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
Nils Strodthoff, Patrick Wagner, Tobias Schaeffter +1
cs.LGstat.MLarXiv:2004.13701v12020
Learning Discrete Structures for Graph Neural Networks
Luca Franceschi, Mathias Niepert, Massimiliano Pontil +1
cs.LGstat.MLarXiv:1903.11960v42019
RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks
Ron Levie, Çağkan Yapar, Gitta Kutyniok +1
eess.SPcs.ITcs.LGarXiv:1911.09002v32019
Revelation Control
Qinyou Wang
cs.LGcs.AIstat.MLarXiv:2608.23860v12026
Summaries:한국어
Spending Scarce Confirmatory PET Measurements: Target-Aligned Validation in A4/LEARN
Eliuvish Han Cui
stat.APcs.AIcs.LGarXiv:2608.22223v12026
Minimax Alternating Regret for the Experts Problem and Online Convex Optimization
Mengxiao Zhang
stat.MLcs.LGarXiv:2608.25182v12026
Improved Analysis for Hessian-free High-resolution Monte Carlo Sampling
Wujun Lv, Xiaoyu Wang, Yingli Wang +1
stat.MLcs.LGmath.AParXiv:2608.25052v12026
Common-Center Geometry and Certified Radial Reconstruction for Energy-Form Full Conformal Regions
Yiheng Feng
stat.MLcs.LGstat.MEarXiv:2608.24964v12026
Adaptive Regularization for Random Features: A Neighboring Early-Stopping Rule with Oracle-Rate Guarantees
Caixing Wang, Zhibo Chen, Yue Wang
stat.MLcs.LGarXiv:2608.25513v12026
What FID Hides: Detecting, Ranking, and Diagnosing Deviations in Generative Evaluation
Hao Chen
stat.MLcs.LGarXiv:2608.24881v12026
Knowing When to Ask for Help: Bayesian Self-Escalation in Hierarchical LLM Agents
Nadeem Shaikh
cs.LGcs.AIstat.MLarXiv:2608.24087v12026
An Overview on Application of Machine Learning Techniques in Optical Networks
Francesco Musumeci, Cristina Rottondi, Avishek Nag +4
cs.NIcs.LGstat.MLarXiv:1803.07976v42018
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja Balle, Yu-Xiang Wang
cs.LGstat.MLarXiv:1805.06530v22018
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
Alexander Robey, Eric Wong, Hamed Hassani +1
cs.LGcs.AIstat.MLarXiv:2310.03684v42023
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Yang Song, Sahaj Garg, Jiaxin Shi +1
cs.LGstat.MLarXiv:1905.07088v22019
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation
Yang Chen, Xiaoyan Sun, Yaochu Jin
cs.LGcs.AIcs.DCarXiv:1903.07424v12019
Efficient Estimation of High Information Projections using Nearest Neighbours
David P. Hofmeyr
stat.MLcs.LGarXiv:2608.25887v12026
The huge Package for High-dimensional Undirected Graph Estimation in R
Tuo Zhao, Han Liu, Kathryn Roeder +2
stat.MLcs.LGmath.OCarXiv:2006.14781v12020
What is the Effect of Importance Weighting in Deep Learning?
Jonathon Byrd, Zachary C. Lipton
cs.LGstat.MLarXiv:1812.03372v32018
Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks
Adrien Payan, Giovanni Montana
cs.CVcs.LGstat.AParXiv:1502.02506v12015
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru, Etienne Denis, William L. Hamilton
cs.LGcs.AIstat.MLarXiv:1911.06962v22019
Multi-output Gaussian process prediction of physical fields under linear equality constraints
Mahamat Hamdan Nassouradine, Clément Gauchy, Pierre-Emmanuel Angeli +1
stat.MLcs.LGarXiv:2608.25709v12026
Quantum-Inspired Modeling of Driving Behavior
Mohammad Elayan, Omid Armantalab, Wissam Kontar
cs.LGeess.SYstat.MLarXiv:2608.25907v12026
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
Hongwei Wang, Fuzheng Zhang, Miao Zhao +3
cs.IRstat.MLarXiv:1901.08907v12019
Hyperparameter optimization with approximate gradient
Fabian Pedregosa
stat.MLcs.LGmath.OCarXiv:1602.02355v62016
Comparing Corrupted Constrained Learning Problems
Laura Iacovissi, Rabanus Derr, Robert C. Williamson
cs.LGmath.STstat.MLarXiv:2608.25745v12026
Fast rates in Bayesian online learning with approximate posteriors
Ilsang Ohn
stat.MLcs.LGarXiv:2608.25706v12026
A Fair Comparison of Graph Neural Networks for Graph Classification
Federico Errica, Marco Podda, Davide Bacciu +1
cs.LGstat.MLarXiv:1912.09893v32019
Attend and Diagnose: Clinical Time Series Analysis using Attention Models
Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan +1
stat.MLcs.LGarXiv:1711.03905v22017
True Few-Shot Learning with Language Models
Ethan Perez, Douwe Kiela, Kyunghyun Cho
cs.CLcs.LGstat.MLarXiv:2105.11447v12021
LDP-Fed: Federated Learning with Local Differential Privacy
Stacey Truex, Ling Liu, Ka-Ho Chow +2
cs.LGcs.CRstat.MLarXiv:2006.03637v12020
Development and evaluation of a deep learning model for protein-ligand binding affinity prediction
Marta M. Stepniewska-Dziubinska, Piotr Zielenkiewicz, Pawel Siedlecki
stat.MLcs.LGq-bio.BMarXiv:1712.07042v22017
Delayed Impact of Fair Machine Learning
Lydia T. Liu, Sarah Dean, Esther Rolf +2
cs.LGstat.MLarXiv:1803.04383v22018
Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation
Zhilin Zhang, Bhaskar D. Rao
stat.MLstat.MEarXiv:1201.0862v52012
Learning Features by Watching Objects Move
Deepak Pathak, Ross Girshick, Piotr Dollár +2
cs.CVcs.AIcs.LGarXiv:1612.06370v22016
Revisiting Classifier Two-Sample Tests
David Lopez-Paz, Maxime Oquab
stat.MLarXiv:1610.06545v42016
Balanced Distribution Adaptation for Transfer Learning
Jindong Wang, Yiqiang Chen, Shuji Hao +2
cs.LGstat.MLarXiv:1807.00516v12018
A survey on modern trainable activation functions
Andrea Apicella, Francesco Donnarumma, Francesco Isgrò +1
cs.LGcs.NEstat.MLarXiv:2005.00817v42020
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar, Hal Daume
cs.LGstat.MLarXiv:1206.6417v12012
A Complete Recipe for Stochastic Gradient MCMC
Yi-An Ma, Tianqi Chen, Emily B. Fox
math.STstat.MEstat.MLarXiv:1506.04696v22015
Task-Agnostic Meta-Learning for Few-shot Learning
Muhammad Abdullah Jamal, Guo-Jun Qi, Mubarak Shah
cs.LGstat.MLarXiv:1805.07722v12018
Fine-Tuning Whisper for Automatic Speech Recognition in Baniwa: A Preliminary Study
Leonardo Duart, Tiago Fonseca, Thiago Chacón
cs.CLstat.MLarXiv:2608.26060v12026
Bayesian Optimization with Unknown Constraints
Michael A. Gelbart, Jasper Snoek, Ryan P. Adams
stat.MLcs.LGarXiv:1403.5607v12014
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
Yuheng Zhang, Ruoxi Jia, Hengzhi Pei +3
cs.LGstat.MLarXiv:1911.07135v22019
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Sivaraman Balakrishnan, Martin J. Wainwright, Bin Yu
math.STcs.LGstat.MLarXiv:1408.2156v12014
Structured Inference Networks for Nonlinear State Space Models
Rahul G. Krishnan, Uri Shalit, David Sontag
stat.MLcs.AIcs.LGarXiv:1609.09869v22016
AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App
Ali Imran, Iryna Posokhova, Haneya N. Qureshi +6
eess.AScs.LGcs.SDarXiv:2004.01275v62020
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Nicolas Papernot, Fartash Faghri, Nicholas Carlini +23
cs.LGcs.CRstat.MLarXiv:1610.00768v62016
Supervised quantum machine learning models are kernel methods
Maria Schuld
quant-phstat.MLarXiv:2101.11020v22021
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
Yu Chen, Lingfei Wu, Mohammed J. Zaki
cs.LGstat.MLarXiv:2006.13009v22020
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Kaidi Xu, Hongge Chen, Sijia Liu +4
cs.LGcs.CRcs.SIarXiv:1906.04214v32019
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models
Bradly C. Stadie, Sergey Levine, Pieter Abbeel
cs.AIcs.LGstat.MLarXiv:1507.00814v32015
High-dimensional dynamics of generalization error in neural networks
Madhu S. Advani, Andrew M. Saxe
stat.MLcs.LGphysics.data-anarXiv:1710.03667v12017
Are Transformers universal approximators of sequence-to-sequence functions?
Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat +2
cs.LGstat.MLarXiv:1912.10077v22019
Fair Clustering Through Fairlets
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi +1
cs.LGstat.MLarXiv:1802.05733v12018

Machine Learning (stat)

Google Research Football: A Novel Reinforcement Learning Environment

Expanding the Reach of Federated Learning by Reducing Client Resource Requirements

To Trust Or Not To Trust A Classifier

Label-Consistent Backdoor Attacks

DeeperGCN: All You Need to Train Deeper GCNs

Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

Learning Discrete Structures for Graph Neural Networks

RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks

Revelation Control

Spending Scarce Confirmatory PET Measurements: Target-Aligned Validation in A4/LEARN

Minimax Alternating Regret for the Experts Problem and Online Convex Optimization

Improved Analysis for Hessian-free High-resolution Monte Carlo Sampling

Common-Center Geometry and Certified Radial Reconstruction for Energy-Form Full Conformal Regions

Adaptive Regularization for Random Features: A Neighboring Early-Stopping Rule with Oracle-Rate Guarantees

What FID Hides: Detecting, Ranking, and Diagnosing Deviations in Generative Evaluation

Knowing When to Ask for Help: Bayesian Self-Escalation in Hierarchical LLM Agents

An Overview on Application of Machine Learning Techniques in Optical Networks

Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Sliced Score Matching: A Scalable Approach to Density and Score Estimation

Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation

Efficient Estimation of High Information Projections using Nearest Neighbours

The huge Package for High-dimensional Undirected Graph Estimation in R

What is the Effect of Importance Weighting in Deep Learning?

Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks

Inductive Relation Prediction by Subgraph Reasoning

Multi-output Gaussian process prediction of physical fields under linear equality constraints

Quantum-Inspired Modeling of Driving Behavior

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

Hyperparameter optimization with approximate gradient

Comparing Corrupted Constrained Learning Problems

Fast rates in Bayesian online learning with approximate posteriors

A Fair Comparison of Graph Neural Networks for Graph Classification

Attend and Diagnose: Clinical Time Series Analysis using Attention Models

True Few-Shot Learning with Language Models

LDP-Fed: Federated Learning with Local Differential Privacy

Development and evaluation of a deep learning model for protein-ligand binding affinity prediction

Delayed Impact of Fair Machine Learning

Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation

Learning Features by Watching Objects Move

Revisiting Classifier Two-Sample Tests

Balanced Distribution Adaptation for Transfer Learning

A survey on modern trainable activation functions

Learning Task Grouping and Overlap in Multi-task Learning

A Complete Recipe for Stochastic Gradient MCMC

Task-Agnostic Meta-Learning for Few-shot Learning

Fine-Tuning Whisper for Automatic Speech Recognition in Baniwa: A Preliminary Study

Bayesian Optimization with Unknown Constraints

The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks

Statistical guarantees for the EM algorithm: From population to sample-based analysis

Structured Inference Networks for Nonlinear State Space Models

AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Supervised quantum machine learning models are kernel methods

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models

High-dimensional dynamics of generalization error in neural networks

Are Transformers universal approximators of sequence-to-sequence functions?

Fair Clustering Through Fairlets