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 to 60 of 8,811

Online Learning via Sequential Complexities
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
cs.LGstat.MLarXiv:1006.1138v32010
Gaussian BROJA Partial Information Decomposition in Closed Form
Ohad Sheelo, Tal Golan, Ari Pakman
cs.ITstat.MLarXiv:2610.13464v12026
Not All Dimensions Are Equal: Outlier-Aware Attention Linearization with Grouped Quadratic Kernels
Weiqi Sun, Qianyue Wu, Wenjia Wang +1
stat.MLcs.AIcs.LGarXiv:2610.13674v12026
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo +2
cs.LGcs.AIstat.MLarXiv:1910.07072v22019
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Michal Rolínek, Paul Swoboda, Dominik Zietlow +3
cs.LGstat.MLarXiv:2003.11657v22020
Model Inversion Networks for Model-Based Optimization
Aviral Kumar, Sergey Levine
cs.LGstat.MLarXiv:1912.13464v12019
adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection
Xuhong Wang, Ying Du, Shijie Lin +3
cs.LGcs.AIstat.MLarXiv:1903.00904v32019
On the Quality of the Initial Basin in Overspecified Neural Networks
Itay Safran, Ohad Shamir
cs.LGstat.MLarXiv:1511.04210v32015
ETC: Encoding Long and Structured Inputs in Transformers
Joshua Ainslie, Santiago Ontanon, Chris Alberti +7
cs.LGstat.MLarXiv:2004.08483v52020
SLICE: Sequential Likelihood-Free Inference via Conformal E-Values
Stefano Cortinovis, Laura Battaglia, François Caron
stat.MEstat.MLarXiv:2610.13855v12026
Majority Vote of Diverse Classifiers for Late Fusion
Emilie Morvant, Amaury Habrard, Stéphane Ayache
stat.MLcs.LGcs.MMarXiv:1404.7796v22014
Clustering in graphs and hypergraphs with categorical edge labels
Ilya Amburg, Nate Veldt, Austin R. Benson
cs.SIcs.LGphysics.soc-pharXiv:1910.09943v22019
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
Chenlu Ye, Wei Xiong, Yuheng Zhang +3
cs.LGstat.MLarXiv:2402.07314v32024
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Thomas Anthony, Tom Eccles, Andrea Tacchetti +11
cs.LGcs.AIcs.GTarXiv:2006.04635v42020
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac +2
cs.ROcs.AIcs.HCarXiv:2002.00941v22020
Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems
Xiang Ji, Huazheng Wang, Minshuo Chen +2
cs.LGmath.STstat.MLarXiv:2307.12975v22023
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
Mikkel Jordahn, Pablo M. Olmos
cs.LGstat.MLarXiv:2405.01196v32024
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Daniel S. Brown, Russell Coleman, Ravi Srinivasan +1
cs.LGstat.MLarXiv:2002.09089v42020
LESS is More: Rethinking Probabilistic Models of Human Behavior
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac +2
cs.ROcs.AIcs.HCarXiv:2001.04465v12020
A physics-informed operator regression framework for extracting data-driven continuum models
Ravi G. Patel, Nathaniel A. Trask, Mitchell A. Wood +1
physics.comp-phcs.LGcs.NAarXiv:2009.11992v12020
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
Mathias Kraus, Stefan Feuerriegel
cs.LGstat.MLarXiv:1907.05146v22019
Towards Adversarial Retinal Image Synthesis
Pedro Costa, Adrian Galdran, Maria Inês Meyer +4
cs.CVcs.LGstat.MLarXiv:1701.08974v12017
Probabilistic Forecasting of Electric Vehicle Charging in a Time-varying Hierarchical Infrastructure
Guillaume Principato, Yvenn Amara-Ouali, Yannig Goude +2
stat.APcs.LGstat.MLarXiv:2610.13588v12026
Calibration in One Go: Jointly Learning Accurate and Calibrated Neural Networks
Nektarios Kalampalikis, Pablo M. Olmos, Isabel Valera
cs.LGcs.AIstat.MLarXiv:2610.13693v12026
EEG-informed attended speaker extraction from recorded speech mixtures with application in neuro-steered hearing prostheses
Simon Van Eyndhoven, Tom Francart, Alexander Bertrand
cs.SDcs.SYeess.SYarXiv:1602.05702v42016
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
Yanfei Kang, Rob J Hyndman, Feng Li
stat.MLcs.LGstat.COarXiv:1903.02787v22019
Penalizing side effects using stepwise relative reachability
Victoria Krakovna, Laurent Orseau, Ramana Kumar +2
cs.LGcs.AIstat.MLarXiv:1806.01186v22018
Learning by Compression: Risk Estimates Attain the Law-of-Large-Numbers Rate
Simone Garatti, Marco C. Campi
stat.MLcs.LGmath.STarXiv:2610.13442v12026
One Thing Leads to Another: The Essentials of Time Series Causal Discovery
Kurt Butler, Damian Machlanski, Michael P. J. Camilleri +5
eess.SPcs.LGstat.MLarXiv:2610.13430v12026
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
Hao Zhang, Bo Chen, Dandan Guo +1
stat.MLstat.APstat.COarXiv:1803.01328v22018
Characterizing Diabetes, Diet, Exercise, and Obesity Comments on Twitter
Amir Karami, Alicia A. Dahl, Gabrielle Turner-McGrievy +2
cs.SIcs.CLstat.AParXiv:1709.07916v12017
Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction
Pedram Daee, Tomi Peltola, Marta Soare +1
cs.AIcs.HCcs.LGarXiv:1612.03328v22016
Latent mixed-effect models for high-dimensional longitudinal data
Priscilla Ong, Manuel Haußmann, Otto Lönnroth +1
cs.LGstat.APstat.MLarXiv:2409.11008v12024
Using latent representations to link disjoint longitudinal data for mixed-effects regression
Clemens Schächter, Maren Hackenberg, Michelle Pfaffenlehner +6
stat.MLcs.AIcs.LGarXiv:2510.25531v22025
Principled Training of Neural Networks with Direct Feedback Alignment
Julien Launay, Iacopo Poli, Florent Krzakala
stat.MLcs.LGcs.NEarXiv:1906.04554v12019
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process
Christoph Molnar, Timo Freiesleben, Gunnar König +3
stat.MLcs.LGarXiv:2109.01433v12021
Fast Gradient-Based Approximation of Continuous Dynamic Time Warping
Pierre Houedry, Romain Tavenard, Nicolas Courty +1
stat.MLcs.LGarXiv:2610.13129v12026
Generalized Determinantal Point Processes for Attraction and Repulsion with Distinct Interaction Kernels
Hideaki Ishibashi, Takahiro Kawashima, Hideitsu Hino
stat.MLcs.LGstat.COarXiv:2610.12894v12026
Human-in-the-Loop Interpretability Prior
Isaac Lage, Andrew Slavin Ross, Been Kim +2
stat.MLcs.LGarXiv:1805.11571v22018
Graph Kernels: State-of-the-Art and Future Challenges
Karsten Borgwardt, Elisabetta Ghisu, Felipe Llinares-López +2
cs.LGstat.MLarXiv:2011.03854v22020
Scalable Learning of Determinantal Point Processes with Kernel-Structured Interactions
Takahiro Kawashima, Hideitsu Hino
stat.MLcs.LGarXiv:2610.12829v12026
Compressing Large Language Models using Low Rank and Low Precision Decomposition
Rajarshi Saha, Naomi Sagan, Varun Srivastava +2
cs.LGcs.AImath.OCarXiv:2405.18886v22024
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking
Patrick H. Chen, Si Si, Yang Li +2
cs.CLcs.AIcs.LGarXiv:1806.06950v12018
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian
Samet Oymak, Zalan Fabian, Mingchen Li +1
cs.LGmath.OCstat.MLarXiv:1906.05392v22019
word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement
Aliakbar Panahi, Seyran Saeedi, Tom Arodz
cs.LGstat.MLarXiv:1911.04975v32019
Online Embedding Compression for Text Classification using Low Rank Matrix Factorization
Anish Acharya, Rahul Goel, Angeliki Metallinou +1
cs.LGcs.CLcs.NAarXiv:1811.00641v12018
Spatial Prediction with Guided Diffusion
Andrew Zammit-Mangion, Lachlan Astfalck, Raphaël Huser +2
stat.MEstat.COstat.MLarXiv:2610.12967v12026
Universal Bounds for Self-Normalized Kullback-Leibler Estimation
Buu Phan, Lester Mackey, David Alvarez-Melis
stat.MLcs.LGarXiv:2610.12851v12026
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis
Guangzhi Sun, Yu Zhang, Ron J. Weiss +3
eess.AScs.LGcs.SDarXiv:2002.03785v12020
Active Learning for Nonlinear System Identification with Guarantees
Horia Mania, Michael I. Jordan, Benjamin Recht
stat.MLcs.LGmath.OCarXiv:2006.10277v12020
Deep Sufficient Representation Learning via Mutual Information
Siming Zheng, Yuanyuan Lin, Jian Huang
stat.MLcs.LGarXiv:2207.10772v12022
Quality-Diversity Optimization: a novel branch of stochastic optimization
Konstantinos Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades +1
cs.NEcs.LGmath.OCarXiv:2012.04322v22020
Multimodal Machine Learning for Automated ICD Coding
Keyang Xu, Mike Lam, Jingzhi Pang +9
cs.LGstat.MLarXiv:1810.13348v42018
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
Sicong Huang, Qiyang Li, Cem Anil +3
cs.SDcs.LGeess.ASarXiv:1811.09620v32018
A Transformer-based Audio Captioning Model with Keyword Estimation
Yuma Koizumi, Ryo Masumura, Kyosuke Nishida +2
eess.AScs.LGcs.SDarXiv:2007.00222v22020
Latent Thought Models with Variational Bayes Inference-Time Computation
Deqian Kong, Minglu Zhao, Dehong Xu +8
cs.CLcs.LGstat.MLarXiv:2502.01567v22025
Unifying Clustered and Non-stationary Bandits
Chuanhao Li, Qingyun Wu, Hongning Wang
cs.LGstat.MLarXiv:2009.02463v12020
A Review of Off-Policy Evaluation in Reinforcement Learning
Masatoshi Uehara, Chengchun Shi, Nathan Kallus
stat.MLcs.LGmath.STarXiv:2212.06355v12022
Cluster-Robust Prediction-Powered Inference
David Broska, Michael Howes
stat.MEecon.EMstat.MLarXiv:2610.09601v12026
Efficient L1-Norm Principal-Component Analysis via Bit Flipping
Panos P. Markopoulos, Sandipan Kundu, Shubham Chamadia +1
cs.DScs.LGstat.MLarXiv:1610.01959v12016

Machine Learning (stat)

Online Learning via Sequential Complexities

Gaussian BROJA Partial Information Decomposition in Closed Form

Not All Dimensions Are Equal: Outlier-Aware Attention Linearization with Grouped Quadratic Kernels

Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

Model Inversion Networks for Model-Based Optimization

adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection

On the Quality of the Initial Basin in Overspecified Neural Networks

ETC: Encoding Long and Structured Inputs in Transformers

SLICE: Sequential Likelihood-Free Inference via Conformal E-Values

Majority Vote of Diverse Classifiers for Late Fusion

Clustering in graphs and hypergraphs with categorical edge labels

Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Learning to Play No-Press Diplomacy with Best Response Policy Iteration

Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections

Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems

Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks

Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences

LESS is More: Rethinking Probabilistic Models of Human Behavior

A physics-informed operator regression framework for extracting data-driven continuum models

Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences

Towards Adversarial Retinal Image Synthesis

Probabilistic Forecasting of Electric Vehicle Charging in a Time-varying Hierarchical Infrastructure

Calibration in One Go: Jointly Learning Accurate and Calibrated Neural Networks

EEG-informed attended speaker extraction from recorded speech mixtures with application in neuro-steered hearing prostheses

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

Penalizing side effects using stepwise relative reachability

Learning by Compression: Risk Estimates Attain the Law-of-Large-Numbers Rate

One Thing Leads to Another: The Essentials of Time Series Causal Discovery

WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling

Characterizing Diabetes, Diet, Exercise, and Obesity Comments on Twitter

Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction

Latent mixed-effect models for high-dimensional longitudinal data

Using latent representations to link disjoint longitudinal data for mixed-effects regression

Principled Training of Neural Networks with Direct Feedback Alignment

Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process

Fast Gradient-Based Approximation of Continuous Dynamic Time Warping

Generalized Determinantal Point Processes for Attraction and Repulsion with Distinct Interaction Kernels

Human-in-the-Loop Interpretability Prior

Graph Kernels: State-of-the-Art and Future Challenges

Scalable Learning of Determinantal Point Processes with Kernel-Structured Interactions

Compressing Large Language Models using Low Rank and Low Precision Decomposition

GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking

Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian

word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement

Online Embedding Compression for Text Classification using Low Rank Matrix Factorization

Spatial Prediction with Guided Diffusion

Universal Bounds for Self-Normalized Kullback-Leibler Estimation

Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis

Active Learning for Nonlinear System Identification with Guarantees

Deep Sufficient Representation Learning via Mutual Information

Quality-Diversity Optimization: a novel branch of stochastic optimization

Multimodal Machine Learning for Automated ICD Coding

TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer

A Transformer-based Audio Captioning Model with Keyword Estimation

Latent Thought Models with Variational Bayes Inference-Time Computation

Unifying Clustered and Non-stationary Bandits

A Review of Off-Policy Evaluation in Reinforcement Learning

Cluster-Robust Prediction-Powered Inference

Efficient L1-Norm Principal-Component Analysis via Bit Flipping