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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1,261 to 1,320 of 6,788

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
Arber Zela, Aaron Klein, Stefan Falkner +1
cs.LGcs.AIcs.CVarXiv:1807.06906v12018
High-Fidelity Image Generation With Fewer Labels
Mario Lucic, Michael Tschannen, Marvin Ritter +3
cs.LGcs.CVstat.MLarXiv:1903.02271v22019
Practical One-Shot Federated Learning for Cross-Silo Setting
Qinbin Li, Bingsheng He, Dawn Song
cs.LGstat.MLarXiv:2010.01017v22020
Latent Multi-task Architecture Learning
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein +1
stat.MLcs.AIcs.CLarXiv:1705.08142v32017
High-dimensional variable selection for Cox's proportional hazards model
Jianqing Fan, Yang Feng, Yichao Wu
stat.MLstat.MEarXiv:1002.3315v22010
Birth of a Transformer: A Memory Viewpoint
Alberto Bietti, Vivien Cabannes, Diane Bouchacourt +2
stat.MLcs.CLcs.LGarXiv:2306.00802v22023
Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence Models
Rohit Prabhavalkar, Tara N. Sainath, Yonghui Wu +4
cs.CLeess.ASstat.MLarXiv:1712.01818v12017
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu, Yuanzhi Li
cs.LGcs.NEmath.OCarXiv:2005.10190v42020
TriMap: Large-scale Dimensionality Reduction Using Triplets
Ehsan Amid, Manfred K. Warmuth
cs.LGstat.MLarXiv:1910.00204v22019
Confounding-Valid Conformal Inference for Counterfactual KPIs in Wireless Networks
Abdessamed Qchohi, Jessica Moysen Cortes, Matteo Zecchin
cs.LGcs.NIeess.SParXiv:2609.05073v12026
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks
Alexander Levine, Soheil Feizi
cs.LGstat.MLarXiv:2006.14768v22020
A Second-order Bound with Excess Losses
Pierre Gaillard, Gilles Stoltz, Tim Van Erven
stat.MLcs.LGmath.STarXiv:1402.2044v12014
Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem
Alexandra Carpentier, Andrea Locatelli
stat.MLcs.LGarXiv:1605.09004v12016
Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations
Litu Rout, Yujia Chen, Nataniel Ruiz +3
cs.LGcs.CVstat.MLarXiv:2410.10792v12024
Limits of End-to-End Learning
Tobias Glasmachers
cs.LGstat.MLarXiv:1704.08305v12017
Interpretability for Turing Machines
Billy Snikkers, Rumi Salazar, Daniel Murfet +1
cs.LGcs.FLstat.MLarXiv:2609.04661v12026
Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text
Hongyi Zhou, Jin Zhu, Kai Ye +3
cs.CLcs.AIstat.MLarXiv:2601.21895v22026
Removal of Batch Effects using Distribution-Matching Residual Networks
Uri Shaham, Kelly P. Stanton, Jun Zhao +4
stat.MLarXiv:1610.04181v62016
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
Alex Beutel, Jilin Chen, Tulsee Doshi +6
cs.LGcs.AIcs.CYarXiv:1901.04562v12019
A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output LC Filter
Ihab S. Mohamed, Stefano Rovetta, Ton Duc Do +2
eess.SYcs.LGstat.MLarXiv:1902.09964v32019
Finite Depth and Width Corrections to the Neural Tangent Kernel
Boris Hanin, Mihai Nica
cs.LGmath.PRstat.MLarXiv:1909.05989v12019
Federated Forest
Yang Liu, Yingting Liu, Zhijie Liu +3
cs.LGstat.MLarXiv:1905.10053v12019
EikoNet: Solving the Eikonal equation with Deep Neural Networks
Jonathan D. Smith, Kamyar Azizzadenesheli, Zachary E. Ross
physics.comp-phcs.LGphysics.geo-pharXiv:2004.00361v32020
Near-Optimal Algorithms for Differentially-Private Principal Components
Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha
stat.MLcs.CRcs.LGarXiv:1207.2812v32012
Rethinking Importance Weighting for Deep Learning under Distribution Shift
Tongtong Fang, Nan Lu, Gang Niu +1
cs.LGstat.MLarXiv:2006.04662v22020
Enhanced Diffusion Sampling: Efficient Rare Event Sampling and Free Energy Calculation with Diffusion Models
Yu Xie, Ludwig Winkler, Lixin Sun +10
stat.MLcs.AIcs.LGarXiv:2602.16634v22026
SparkNet: Training Deep Networks in Spark
Philipp Moritz, Robert Nishihara, Ion Stoica +1
stat.MLcs.DCcs.LGarXiv:1511.06051v42015
Scalars are universal: Equivariant machine learning, structured like classical physics
Soledad Villar, David W. Hogg, Kate Storey-Fisher +2
cs.LGmath-phstat.MLarXiv:2106.06610v42021
Stochastic gradient Markov chain Monte Carlo
Christopher Nemeth, Paul Fearnhead
stat.COstat.MLarXiv:1907.06986v12019
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Tianyu Pang, Min Lin, Xiao Yang +2
cs.LGcs.CRstat.MLarXiv:2202.10103v22022
Convex Optimization in Julia
Madeleine Udell, Karanveer Mohan, David Zeng +3
math.OCcs.MSstat.MLarXiv:1410.4821v12014
Optimized Cost per Click in Taobao Display Advertising
Han Zhu, Junqi Jin, Chang Tan +4
cs.GTstat.MLarXiv:1703.02091v42017
On semidefinite relaxations for the block model
Arash A. Amini, Elizaveta Levina
cs.LGcs.SIstat.MLarXiv:1406.5647v32014
Strong Baselines for Neural Semi-supervised Learning under Domain Shift
Sebastian Ruder, Barbara Plank
cs.CLcs.LGstat.MLarXiv:1804.09530v12018
Variational Autoencoders Pursue PCA Directions (by Accident)
Michal Rolinek, Dominik Zietlow, Georg Martius
cs.LGcs.CVstat.MLarXiv:1812.06775v22018
Graph Degree Linkage: Agglomerative Clustering on a Directed Graph
Wei Zhang, Xiaogang Wang, Deli Zhao +1
cs.CVcs.SIstat.MLarXiv:1208.5092v12012
Overlapping Community Detection with Graph Neural Networks
Oleksandr Shchur, Stephan Günnemann
cs.LGcs.SIstat.MLarXiv:1909.12201v12019
Learning Order Forest for Qualitative-Attribute Data Clustering
Mingjie Zhao, Sen Feng, Yiqun Zhang +3
stat.MLcs.AIcs.LGarXiv:2603.03387v12026
Measures of Entropy from Data Using Infinitely Divisible Kernels
Luis G. Sanchez Giraldo, Murali Rao, Jose C. Principe
cs.LGcs.ITstat.MLarXiv:1211.2459v32012
Efficient Distributed Learning with Sparsity
Jialei Wang, Mladen Kolar, Nathan Srebro +1
stat.MLcs.LGarXiv:1605.07991v12016
Support and Invertibility in Domain-Invariant Representations
Fredrik D. Johansson, David Sontag, Rajesh Ranganath
stat.MLcs.LGarXiv:1903.03448v42019
Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization
Alekh Agarwal, Animashree Anandkumar, Prateek Jain +1
cs.LGmath.OCstat.MLarXiv:1310.7991v22013
Sharp Convergence Rates for Masked Diffusion Models
Yuchen Liang, Zhiheng Tan, Ness Shroff +1
cs.LGstat.MLarXiv:2602.22505v12026
Adversarial Robustness Against the Union of Multiple Perturbation Models
Pratyush Maini, Eric Wong, J. Zico Kolter
cs.LGcs.AIstat.MLarXiv:1909.04068v22019
Random sampling of bandlimited signals on graphs
Gilles Puy, Nicolas Tremblay, Rémi Gribonval +1
cs.SIcs.LGstat.MLarXiv:1511.05118v22015
Towards Learning a Universal Non-Semantic Representation of Speech
Joel Shor, Aren Jansen, Ronnie Maor +7
eess.AScs.LGcs.SDarXiv:2002.12764v62020
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton +2
cs.LGstat.MLarXiv:2201.04234v32022
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study
Gustav Mårtensson, Daniel Ferreira, Tobias Granberg +22
physics.med-phcs.CVcs.LGarXiv:1911.00515v12019
Split Learning for collaborative deep learning in healthcare
Maarten G. Poirot, Praneeth Vepakomma, Ken Chang +3
cs.LGcs.DCstat.MLarXiv:1912.12115v12019
Class-prior Estimation for Learning from Positive and Unlabeled Data
Marthinus C. du Plessis, Gang Niu, Masashi Sugiyama
cs.LGstat.MLarXiv:1611.01586v12016
Subliminal Effects in Your Data: A General Mechanism via Log-Linearity
Ishaq Aden-Ali, Noah Golowich, Allen Liu +3
cs.LGcs.AIcs.CLarXiv:2602.04863v12026
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study
Suyog Gupta, Wei Zhang, Fei Wang
stat.MLcs.DCcs.LGarXiv:1509.04210v32015
Collapse of Deep and Narrow Neural Nets
Lu Lu, Yanhui Su, George Em Karniadakis
stat.MLcs.LGarXiv:1808.04947v22018
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees
Mohammadhosein Hasanbeig, Yiannis Kantaros, Alessandro Abate +3
cs.LOcs.LGeess.SYarXiv:1909.05304v12019
Traditional and Heavy-Tailed Self Regularization in Neural Network Models
Charles H. Martin, Michael W. Mahoney
cs.LGstat.MLarXiv:1901.08276v12019
Self-Supervised Generalisation with Meta Auxiliary Learning
Shikun Liu, Andrew J. Davison, Edward Johns
cs.LGcs.CVstat.MLarXiv:1901.08933v32019
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
John Bradshaw, Alexander G. de G. Matthews, Zoubin Ghahramani
stat.MLarXiv:1707.02476v12017
CARD: Classification and Regression Diffusion Models
Xizewen Han, Huangjie Zheng, Mingyuan Zhou
stat.MLcs.LGstat.COarXiv:2206.07275v42022
Causal Representation Learning from General Environments under Nonparametric Mixing
Ignavier Ng, Shaoan Xie, Xinshuai Dong +2
cs.LGstat.MLarXiv:2604.23800v12026
Stick-Breaking Variational Autoencoders
Eric Nalisnick, Padhraic Smyth
stat.MLarXiv:1605.06197v32016

Machine Learning (stat)

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

High-Fidelity Image Generation With Fewer Labels

Practical One-Shot Federated Learning for Cross-Silo Setting

Latent Multi-task Architecture Learning

High-dimensional variable selection for Cox's proportional hazards model

Birth of a Transformer: A Memory Viewpoint

Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence Models

Feature Purification: How Adversarial Training Performs Robust Deep Learning

TriMap: Large-scale Dimensionality Reduction Using Triplets

Confounding-Valid Conformal Inference for Counterfactual KPIs in Wireless Networks

Deep Partition Aggregation: Provable Defense against General Poisoning Attacks

A Second-order Bound with Excess Losses

Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations

Limits of End-to-End Learning

Interpretability for Turing Machines

Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text

Removal of Batch Effects using Distribution-Matching Residual Networks

Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements

A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output LC Filter

Finite Depth and Width Corrections to the Neural Tangent Kernel

Federated Forest

EikoNet: Solving the Eikonal equation with Deep Neural Networks

Near-Optimal Algorithms for Differentially-Private Principal Components

Rethinking Importance Weighting for Deep Learning under Distribution Shift

Enhanced Diffusion Sampling: Efficient Rare Event Sampling and Free Energy Calculation with Diffusion Models

SparkNet: Training Deep Networks in Spark

Scalars are universal: Equivariant machine learning, structured like classical physics

Stochastic gradient Markov chain Monte Carlo

Robustness and Accuracy Could Be Reconcilable by (Proper) Definition

Convex Optimization in Julia

Optimized Cost per Click in Taobao Display Advertising

On semidefinite relaxations for the block model

Strong Baselines for Neural Semi-supervised Learning under Domain Shift

Variational Autoencoders Pursue PCA Directions (by Accident)

Graph Degree Linkage: Agglomerative Clustering on a Directed Graph

Overlapping Community Detection with Graph Neural Networks

Learning Order Forest for Qualitative-Attribute Data Clustering

Measures of Entropy from Data Using Infinitely Divisible Kernels

Efficient Distributed Learning with Sparsity

Support and Invertibility in Domain-Invariant Representations

Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization

Sharp Convergence Rates for Masked Diffusion Models

Adversarial Robustness Against the Union of Multiple Perturbation Models

Random sampling of bandlimited signals on graphs

Towards Learning a Universal Non-Semantic Representation of Speech

Leveraging Unlabeled Data to Predict Out-of-Distribution Performance

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study

Split Learning for collaborative deep learning in healthcare

Class-prior Estimation for Learning from Positive and Unlabeled Data

Subliminal Effects in Your Data: A General Mechanism via Log-Linearity

Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study

Collapse of Deep and Narrow Neural Nets

Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees

Traditional and Heavy-Tailed Self Regularization in Neural Network Models

Self-Supervised Generalisation with Meta Auxiliary Learning

Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks

CARD: Classification and Regression Diffusion Models

Causal Representation Learning from General Environments under Nonparametric Mixing

Stick-Breaking Variational Autoencoders