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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1,321 to 1,380 of 6,785

Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints
Wenlong Mou, Liwei Wang, Xiyu Zhai +1
cs.LGmath.OCstat.MLarXiv:1707.05947v12017
Predicting drug response of tumors from integrated genomic profiles by deep neural networks
Yu-Chiao Chiu, Hung-I Harry Chen, Tinghe Zhang +5
stat.MLcs.LGq-bio.GNarXiv:1805.07702v12018
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks
Chirag Nagpal, Xinyu Rachel Li, Artur Dubrawski
cs.LGstat.APstat.MLarXiv:2003.01176v32020
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation
Martin Brossard, Silvere Bonnabel, Axel Barrau
cs.ROstat.MLarXiv:2002.10718v22020
On the Equivalence between Herding and Conditional Gradient Algorithms
Francis Bach, Simon Lacoste-Julien, Guillaume Obozinski
cs.LGmath.OCstat.MLarXiv:1203.4523v22012
Query Complexity of Derivative-Free Optimization
Kevin G. Jamieson, Robert D. Nowak, Benjamin Recht
stat.MLcs.LGarXiv:1209.2434v12012
Causal Consistency of Structural Equation Models
Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers +4
stat.MLcs.AIcs.LGarXiv:1707.00819v12017
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining
Jiefeng Chen, Yixuan Li, Xi Wu +2
cs.LGstat.MLarXiv:2006.15207v42020
Demystifying Group Relative Policy Optimization: Its Policy Gradient is a U-Statistic
Hongyi Zhou, Kai Ye, Erhan Xu +4
cs.LGstat.MLarXiv:2603.01162v32026
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
Tyler L. Hayes, Christopher Kanan
cs.LGcs.CVstat.MLarXiv:1909.01520v32019
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Minghao Guo, Yuzhe Yang, Rui Xu +2
cs.LGcs.CRcs.CVarXiv:1911.10695v32019
Communication-Computation Efficient Gradient Coding
Min Ye, Emmanuel Abbe
stat.MLcs.DCcs.ITarXiv:1802.03475v12018
Prostate Cancer Diagnosis using Deep Learning with 3D Multiparametric MRI
Saifeng Liu, Huaixiu Zheng, Yesu Feng +1
cs.CVstat.MLarXiv:1703.04078v12017
Corralling a Band of Bandit Algorithms
Alekh Agarwal, Haipeng Luo, Behnam Neyshabur +1
cs.LGstat.MLarXiv:1612.06246v32016
Efficient Evaluation of LLM Performance with Statistical Guarantees
Skyler Wu, Yash Nair, Emmanuel J. Candès
stat.MLcs.LGarXiv:2601.20251v32026
A deep learning-based remaining useful life prediction approach for bearings
Cheng Cheng, Guijun Ma, Yong Zhang +4
cs.LGeess.SPstat.MLarXiv:1812.03315v22018
Confidence-Based Decoding is Provably Efficient for Diffusion Language Models
Changxiao Cai, Gen Li
cs.LGcs.AIcs.ITarXiv:2603.22248v12026
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero, Yann LeCun
cs.LGcs.AIcs.CVarXiv:2205.11508v32022
Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network
Ehsan Hosseini-Asl, Georgy Gimel'farb, Ayman El-Baz
cs.LGq-bio.NCstat.MLarXiv:1607.00556v12016
Learning heat diffusion graphs
Dorina Thanou, Xiaowen Dong, Daniel Kressner +1
cs.LGcs.SIstat.MLarXiv:1611.01456v12016
First Analysis of Local GD on Heterogeneous Data
Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik
cs.LGcs.DCmath.NAarXiv:1909.04715v22019
Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning
Pascal Kerschke, Heike Trautmann
stat.MLcs.AIcs.DSarXiv:1711.08921v32017
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai, Ethan Fetaya, Eli Meirom +2
cs.LGcs.NEstat.MLarXiv:2010.08853v32020
Learning Nonlinear Functions Using Regularized Greedy Forest
Rie Johnson, Tong Zhang
stat.MLarXiv:1109.0887v72011
A Progressive Batching L-BFGS Method for Machine Learning
Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal +2
math.OCcs.LGstat.MLarXiv:1802.05374v22018
An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Meng Qu, Jian Tang, Jingbo Shang +3
cs.SIcs.LGstat.MLarXiv:1709.06636v12017
Hyperbolic Graph Attention Network
Yiding Zhang, Xiao Wang, Xunqiang Jiang +2
cs.LGstat.MLarXiv:1912.03046v12019
Learning Texture Manifolds with the Periodic Spatial GAN
Urs Bergmann, Nikolay Jetchev, Roland Vollgraf
cs.CVstat.MLarXiv:1705.06566v22017
Likelihood-free inference by ratio estimation
Owen Thomas, Ritabrata Dutta, Jukka Corander +2
stat.MLstat.COstat.MEarXiv:1611.10242v62016
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker +2
cs.LGcs.IRstat.MLarXiv:2008.09340v12020
On the linearity of large non-linear models: when and why the tangent kernel is constant
Chaoyue Liu, Libin Zhu, Mikhail Belkin
cs.LGstat.MLarXiv:2010.01092v32020
On Graphical Models via Univariate Exponential Family Distributions
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen +1
math.STstat.MLarXiv:1301.4183v22013
Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop
Dmitry Kovalev, Samuel Horvath, Peter Richtarik
cs.LGmath.OCstat.MLarXiv:1901.08689v22019
Label Efficient Semi-Supervised Learning via Graph Filtering
Qimai Li, Xiao-Ming Wu, Han Liu +2
cs.LGcs.AIstat.MLarXiv:1901.09993v32019
Sharp Restricted Isometry Thresholds for Global Minima of Rank-Restricted Matrix LASSO
Richard Y. Zhang
stat.MLcs.ITcs.LGarXiv:2608.29018v12026
LightLDA: Big Topic Models on Modest Compute Clusters
Jinhui Yuan, Fei Gao, Qirong Ho +6
stat.MLcs.DCcs.IRarXiv:1412.1576v12014
Tropical Geometry of Deep Neural Networks
Liwen Zhang, Gregory Naitzat, Lek-Heng Lim
cs.LGmath.AGstat.MLarXiv:1805.07091v12018
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design
Ruijin Cang, Yaopengxiao Xu, Shaohua Chen +3
cond-mat.mtrl-scics.LGstat.MLarXiv:1612.07401v32016
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Mennatullah Siam, Sara Elkerdawy, Martin Jagersand +1
stat.MLcs.CVarXiv:1707.02432v22017
Jigsaw-CRL: Recovering Global Latent Causal Order from Fragmented Multi-Client Interventions
Haijie Xu, Chen Zhang
stat.MLcs.LGarXiv:2608.28991v12026
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu, Dayong Ye, Wei Wang +2
cs.CRcs.LGstat.MLarXiv:2008.01916v12020
End-to-End Attention based Text-Dependent Speaker Verification
Shi-Xiong Zhang, Zhuo Chen, Yong Zhao +2
cs.CLstat.MLarXiv:1701.00562v12017
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
Fei Wen, Lei Chu, Peilin Liu +1
cs.ITcs.LGeess.SParXiv:1808.05403v32018
Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture
Ju Sun, Qing Qu, John Wright
cs.ITcs.CVmath.OCarXiv:1511.03607v32015
Towards Best Practice in Explaining Neural Network Decisions with LRP
Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima +3
cs.LGcs.CVstat.MLarXiv:1910.09840v32019
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang, Michael Rabbat
cs.CVcs.LGstat.MLarXiv:1812.01711v12018
A Unified View of Label Shift Estimation
Saurabh Garg, Yifan Wu, Sivaraman Balakrishnan +1
cs.LGstat.MLarXiv:2003.07554v32020
What shapes feature representations? Exploring datasets, architectures, and training
Katherine L. Hermann, Andrew K. Lampinen
cs.LGstat.MLarXiv:2006.12433v22020
Spreading vectors for similarity search
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid +1
stat.MLcs.LGarXiv:1806.03198v32018
Supervising strong learners by amplifying weak experts
Paul Christiano, Buck Shlegeris, Dario Amodei
cs.LGcs.AIstat.MLarXiv:1810.08575v12018
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach
Hao-Hsuan Chang, Hao Song, Yang Yi +3
cs.LGstat.MLarXiv:1810.11758v12018
Deep Active Learning: Unified and Principled Method for Query and Training
Changjian Shui, Fan Zhou, Christian Gagné +1
cs.LGstat.MLarXiv:1911.09162v22019
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum +4
cs.LGcs.AIstat.MLarXiv:2305.11854v42023
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation
Yudong Chen, Yuejie Chi
stat.MLcs.ITcs.LGarXiv:1802.08397v32018
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations
Biswajit Paria, Kirthevasan Kandasamy, Barnabás Póczos
cs.LGstat.MLarXiv:1805.12168v32018
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
Austin Tripp, Erik Daxberger, José Miguel Hernández-Lobato
cs.LGstat.MLarXiv:2006.09191v22020
On the Connection Between Adversarial Robustness and Saliency Map Interpretability
Christian Etmann, Sebastian Lunz, Peter Maass +1
stat.MLcs.CVcs.LGarXiv:1905.04172v12019
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
Haim Avron, Vikas Sindhwani, Jiyan Yang +1
stat.MLcs.LGmath.NAarXiv:1412.8293v22014
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with $ \ell^1 $ and $ \ell^0 $ Controls
Jason M. Klusowski, Andrew R. Barron
stat.MLmath.STarXiv:1607.07819v32016
Smart "Predict, then Optimize"
Adam N. Elmachtoub, Paul Grigas
math.OCcs.LGstat.MLarXiv:1710.08005v52017

Machine Learning (stat)

Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints

Predicting drug response of tumors from integrated genomic profiles by deep neural networks

Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks

Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation

On the Equivalence between Herding and Conditional Gradient Algorithms

Query Complexity of Derivative-Free Optimization

Causal Consistency of Structural Equation Models

ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining

Demystifying Group Relative Policy Optimization: Its Policy Gradient is a U-Statistic

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis

When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

Communication-Computation Efficient Gradient Coding

Prostate Cancer Diagnosis using Deep Learning with 3D Multiparametric MRI

Corralling a Band of Bandit Algorithms

Efficient Evaluation of LLM Performance with Statistical Guarantees

A deep learning-based remaining useful life prediction approach for bearings

Confidence-Based Decoding is Provably Efficient for Diffusion Language Models

Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods

Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network

Learning heat diffusion graphs

First Analysis of Local GD on Heterogeneous Data

Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning

From Local Structures to Size Generalization in Graph Neural Networks

Learning Nonlinear Functions Using Regularized Greedy Forest

A Progressive Batching L-BFGS Method for Machine Learning

An Attention-based Collaboration Framework for Multi-View Network Representation Learning

Hyperbolic Graph Attention Network

Learning Texture Manifolds with the Periodic Spatial GAN

Likelihood-free inference by ratio estimation

Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs

On the linearity of large non-linear models: when and why the tangent kernel is constant

On Graphical Models via Univariate Exponential Family Distributions

Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop

Label Efficient Semi-Supervised Learning via Graph Filtering

Sharp Restricted Isometry Thresholds for Global Minima of Rank-Restricted Matrix LASSO

LightLDA: Big Topic Models on Modest Compute Clusters

Tropical Geometry of Deep Neural Networks

Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design

Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges

Jigsaw-CRL: Recovering Global Latent Causal Order from Fragmented Multi-Client Interventions

More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence

End-to-End Attention based Text-Dependent Speaker Verification

A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning

Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture

Towards Best Practice in Explaining Neural Network Decisions with LRP

A Graph-CNN for 3D Point Cloud Classification

A Unified View of Label Shift Estimation

What shapes feature representations? Exploring datasets, architectures, and training

Spreading vectors for similarity search

Supervising strong learners by amplifying weak experts

Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach

Deep Active Learning: Unified and Principled Method for Query and Training

Multimodal Web Navigation with Instruction-Finetuned Foundation Models

Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation

A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations

Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

On the Connection Between Adversarial Robustness and Saliency Map Interpretability

Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels

Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with $ \ell^1 $ and $ \ell^0 $ Controls

Smart "Predict, then Optimize"