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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1,801 to 1,860 of 6,790

Generalisation error in learning with random features and the hidden manifold model
Federica Gerace, Bruno Loureiro, Florent Krzakala +2
math.STcs.LGmath.PRarXiv:2002.09339v22020
Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret
Alon Cohen, Tomer Koren, Yishay Mansour
cs.LGstat.MLarXiv:1902.06223v22019
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
Chaoqi Wang, Yibo Jiang, Chenghao Yang +2
cs.LGcs.AIstat.MLarXiv:2309.16240v12023
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas, Yuxuan Zhang, Florian Kerschbaum
cs.LGcs.CRstat.MLarXiv:1912.00888v42019
Variational Gaussian Process State-Space Models
Roger Frigola, Yutian Chen, Carl E. Rasmussen
cs.LGcs.ROeess.SYarXiv:1406.4905v22014
Verdict Instability of OOD Scores under Reference Resampling
Donghoon Lee, Shinjin Kang
cs.LGstat.MLarXiv:2609.00691v12026
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
Andrew Cotter, Heinrich Jiang, Serena Wang +4
cs.LGcs.AIcs.GTarXiv:1809.04198v12018
Explainable $k$-Means and $k$-Medians Clustering
Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz +1
cs.LGcs.CGcs.DSarXiv:2002.12538v22020
Follow the Leader If You Can, Hedge If You Must
Steven de Rooij, Tim van Erven, Peter D. Grünwald +1
cs.LGstat.MLarXiv:1301.0534v22013
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha +1
stat.MLarXiv:1705.07283v22017
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu, Ivor W. Tsang
cs.LGstat.MLarXiv:1905.10045v32019
k-Space Deep Learning for Accelerated MRI
Yoseob Han, Leonard Sunwoo, Jong Chul Ye
cs.CVcs.LGstat.MLarXiv:1805.03779v32018
Muon Optimizes Under Spectral Norm Constraints
Lizhang Chen, Jonathan Li, Qiang Liu
cs.LGmath.OCstat.MLarXiv:2506.15054v22025
Distilled One-Shot Federated Learning
Yanlin Zhou, George Pu, Xiyao Ma +2
cs.LGcs.AIstat.MLarXiv:2009.07999v32020
Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment
Audrey Huang, Adam Block, Qinghua Liu +3
cs.AIcs.LGstat.MLarXiv:2503.21878v22025
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
Qingbiao Li, Weizhe Lin, Zhe Liu +1
cs.ROcs.DCcs.LGarXiv:2011.13219v22020
Sparse coding for multitask and transfer learning
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
cs.LGstat.MLarXiv:1209.0738v32012
The Variational Gaussian Process
Dustin Tran, Rajesh Ranganath, David M. Blei
stat.MLcs.LGcs.NEarXiv:1511.06499v42015
Deep Lattice Networks and Partial Monotonic Functions
Seungil You, David Ding, Kevin Canini +2
stat.MLcs.LGarXiv:1709.06680v12017
Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization
Dmitry Kovalev
cs.LGmath.OCstat.MLarXiv:2503.12645v22025
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
Matthew MacKay, Paul Vicol, Jon Lorraine +2
cs.LGstat.MLarXiv:1903.03088v12019
Rapid Prediction of Electron-Ionization Mass Spectrometry using Neural Networks
Jennifer N. Wei, David Belanger, Ryan P. Adams +1
physics.chem-phstat.MLarXiv:1811.08545v22018
Improved Graph Clustering
Yudong Chen, Sujay Sanghavi, Huan Xu
stat.MLarXiv:1210.3335v32012
From neural PCA to deep unsupervised learning
Harri Valpola
stat.MLcs.LGcs.NEarXiv:1411.7783v22014
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
Feng Yuan, Lina Yao, Boualem Benatallah
cs.LGcs.IRstat.MLarXiv:1905.10760v12019
Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems
Christian Walder, Deep Karkhanis
cs.LGcs.AIcs.CLarXiv:2505.15201v52025
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA
Sébastien Lachapelle, Pau Rodríguez López, Yash Sharma +4
stat.MLcs.LGarXiv:2107.10098v32021
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou +3
cs.LGcs.CVstat.MLarXiv:1909.12778v32019
Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang, Jia Deng
cs.LOcs.AIcs.LGarXiv:1905.09381v12019
Variational Bayesian Optimal Experimental Design
Adam Foster, Martin Jankowiak, Eli Bingham +4
stat.MLcs.LGstat.COarXiv:1903.05480v32019
Latent Replay for Real-Time Continual Learning
Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco +1
cs.LGcs.CVstat.MLarXiv:1912.01100v22019
Tail-Likelihood Reinforcement Learning
Shrinivas Ramasubramanian, Daman Arora, Fahim Tajwar +11
cs.LGstat.MLarXiv:2609.02987v12026
Evaluation of the MACE Force Field Architecture: from Medicinal Chemistry to Materials Science
David Peter Kovacs, Ilyes Batatia, Eszter Sara Arany +1
physics.chem-phstat.MLarXiv:2305.14247v22023
Complex spectrogram enhancement by convolutional neural network with multi-metrics learning
Szu-Wei Fu, Ting-yao Hu, Yu Tsao +1
stat.MLcs.LGcs.SDarXiv:1704.08504v22017
Challenges in Training PINNs: A Loss Landscape Perspective
Pratik Rathore, Weimu Lei, Zachary Frangella +2
cs.LGmath.OCstat.MLarXiv:2402.01868v22024
Graph Few-shot Learning via Knowledge Transfer
Huaxiu Yao, Chuxu Zhang, Ying Wei +5
cs.LGstat.MLarXiv:1910.03053v32019
Inductive Moment Matching
Linqi Zhou, Stefano Ermon, Jiaming Song
cs.LGcs.AIstat.MLarXiv:2503.07565v72025
Recent Advances in Algorithmic High-Dimensional Robust Statistics
Ilias Diakonikolas, Daniel M. Kane
cs.DScs.CCmath.STarXiv:1911.05911v12019
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems
Muhammad Rehman Zafar, Naimul Mefraz Khan
cs.LGcs.AIstat.MLarXiv:1906.10263v12019
GraKeL: A Graph Kernel Library in Python
Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios +3
stat.MLcs.LGarXiv:1806.02193v22018
Jet Flavour Classification Using DeepJet
Emil Bols, Jan Kieseler, Mauro Verzetti +2
hep-exphysics.data-anstat.MLarXiv:2008.10519v22020
Classification and Geometry of General Perceptual Manifolds
SueYeon Chung, Daniel D. Lee, Haim Sompolinsky
cond-mat.dis-nncond-mat.stat-mechcs.NEarXiv:1710.06487v32017
Norm matters: efficient and accurate normalization schemes in deep networks
Elad Hoffer, Ron Banner, Itay Golan +1
stat.MLcs.LGarXiv:1803.01814v32018
Transparency and Explanation in Deep Reinforcement Learning Neural Networks
Rahul Iyer, Yuezhang Li, Huao Li +3
cs.LGstat.MLarXiv:1809.06061v12018
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko +4
cs.LGcs.CVstat.MLarXiv:2003.08983v32020
Stochastic complexity of vectors containing cluster structure
Daniel Nicorici, Olli Yli-Harja, Jaakko Astola
cs.LGcs.ITstat.MLarXiv:2609.00084v12026
Efficiently inferring community structure in bipartite networks
Daniel B. Larremore, Aaron Clauset, Abigail Z. Jacobs
cs.SIphysics.data-anphysics.soc-pharXiv:1403.2933v22014
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model
Anjuli Kannan, Arindrima Datta, Tara N. Sainath +6
eess.AScs.LGcs.SDarXiv:1909.05330v12019
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks
Like Hui, Mikhail Belkin
cs.LGstat.MLarXiv:2006.07322v52020
Fair k-Center Clustering for Data Summarization
Matthäus Kleindessner, Pranjal Awasthi, Jamie Morgenstern
stat.MLcs.DScs.LGarXiv:1901.08628v22019
Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model
Pavel Filonov, Andrey Lavrentyev, Artem Vorontsov
cs.LGstat.MLarXiv:1612.06676v22016
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling
Linmei Hu, Chen Li, Chuan Shi +2
cs.IRcs.CLcs.LGarXiv:1910.14025v22019
Discriminative Active Learning
Daniel Gissin, Shai Shalev-Shwartz
cs.LGstat.MLarXiv:1907.06347v12019
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States
Yunan Ye, Hengzhi Pei, Boxin Wang +4
q-fin.PMcs.LGstat.MLarXiv:2002.05780v12020
Open Set Domain Adaptation: Theoretical Bound and Algorithm
Zhen Fang, Jie Lu, Feng Liu +2
cs.LGstat.MLarXiv:1907.08375v22019
Stability and Generalization of Learning Algorithms that Converge to Global Optima
Zachary Charles, Dimitris Papailiopoulos
stat.MLcs.ITcs.LGarXiv:1710.08402v12017
The multi-armed bandit problem with covariates
Vianney Perchet, Philippe Rigollet
math.STcs.LGstat.MLarXiv:1110.6084v32011
MuLan: A Joint Embedding of Music Audio and Natural Language
Qingqing Huang, Aren Jansen, Joonseok Lee +3
eess.AScs.CLcs.SDarXiv:2208.12415v12022
Mostly Exploration-Free Algorithms for Contextual Bandits
Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi
stat.MLcs.LGarXiv:1704.09011v82017
Stable Prediction across Unknown Environments
Kun Kuang, Ruoxuan Xiong, Peng Cui +2
cs.LGstat.MLarXiv:1806.06270v22018

Machine Learning (stat)

Generalisation error in learning with random features and the hidden manifold model

Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret

Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints

Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

Variational Gaussian Process State-Space Models

Verdict Instability of OOD Scores under Reference Resampling

Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals

Explainable $k$-Means and $k$-Medians Clustering

Follow the Leader If You Can, Hedge If You Must

Structured Bayesian Pruning via Log-Normal Multiplicative Noise

Curriculum Loss: Robust Learning and Generalization against Label Corruption

k-Space Deep Learning for Accelerated MRI

Muon Optimizes Under Spectral Norm Constraints

Distilled One-Shot Federated Learning

Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning

Sparse coding for multitask and transfer learning

The Variational Gaussian Process

Deep Lattice Networks and Partial Monotonic Functions

Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization

Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions

Rapid Prediction of Electron-Ionization Mass Spectrometry using Neural Networks

Improved Graph Clustering

From neural PCA to deep unsupervised learning

DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns

Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems

Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

Learning to Prove Theorems via Interacting with Proof Assistants

Variational Bayesian Optimal Experimental Design

Latent Replay for Real-Time Continual Learning

Tail-Likelihood Reinforcement Learning

Evaluation of the MACE Force Field Architecture: from Medicinal Chemistry to Materials Science

Complex spectrogram enhancement by convolutional neural network with multi-metrics learning

Challenges in Training PINNs: A Loss Landscape Perspective

Graph Few-shot Learning via Knowledge Transfer

Inductive Moment Matching

Recent Advances in Algorithmic High-Dimensional Robust Statistics

DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems

GraKeL: A Graph Kernel Library in Python

Jet Flavour Classification Using DeepJet

Classification and Geometry of General Perceptual Manifolds

Norm matters: efficient and accurate normalization schemes in deep networks

Transparency and Explanation in Deep Reinforcement Learning Neural Networks

A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses

Stochastic complexity of vectors containing cluster structure

Efficiently inferring community structure in bipartite networks

Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model

Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks

Fair k-Center Clustering for Data Summarization

Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model

Graph Neural News Recommendation with Long-term and Short-term Interest Modeling

Discriminative Active Learning

Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States

Open Set Domain Adaptation: Theoretical Bound and Algorithm

Stability and Generalization of Learning Algorithms that Converge to Global Optima

The multi-armed bandit problem with covariates

MuLan: A Joint Embedding of Music Audio and Natural Language

Mostly Exploration-Free Algorithms for Contextual Bandits

Stable Prediction across Unknown Environments