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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7,861 to 7,920 of 9,704

Accurate Genomic Prediction Of Human Height
Louis Lello, Steven G. Avery, Laurent Tellier +3
q-bio.GNcs.LGq-bio.QMarXiv:1709.06489v12017
Clustering with t-SNE, provably
George C. Linderman, Stefan Steinerberger
cs.LGstat.MLarXiv:1706.02582v12017
COT-GAN: Generating Sequential Data via Causal Optimal Transport
Tianlin Xu, Li K. Wenliang, Michael Munn +1
stat.MLcs.LGarXiv:2006.08571v22020
High-dimensional online calibration from harmonic weights
Maxwell Fishelson, Mehryar Mohri
stat.MLcs.LGarXiv:2610.07740v12026
NumericJev: Jev-like LLM Numerical Decoding with Multiway Decision Trees
Weiwei Ye, Hangchen Liu, Renhe Jiang
stat.MLcs.AIcs.LGarXiv:2609.28587v12026
Shapley explainability on the data manifold
Christopher Frye, Damien de Mijolla, Tom Begley +3
cs.LGcs.AIstat.MLarXiv:2006.01272v42020
Ridge Regularization: an Essential Concept in Data Science
Trevor Hastie
stat.MEcs.LGstat.MLarXiv:2006.00371v22020
Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No Pure-Pixel Case
Chia-Hsiang Lin, Wing-Kin Ma, Wei-Chiang Li +2
stat.MLcs.ITmath.ITarXiv:1406.5273v22014
Sharp Restricted Isometry Thresholds for Global Minima of Rank-Restricted Matrix LASSO
Richard Y. Zhang
stat.MLcs.ITcs.LGarXiv:2608.29018v12026
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq, Giovanni Neglia, Aurélien Bellet +2
cs.LGcs.AImath.OCarXiv:2108.10252v42021
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez +1
stat.MLcs.LGarXiv:1610.08452v22016
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright, Andreas Ziegler
stat.MLstat.COarXiv:1508.04409v22015
Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza +5
stat.MLcs.LGarXiv:1406.2661v12014
A Kernel Test of Goodness of Fit
Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton
stat.MLarXiv:1602.02964v42016
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning
Ronan Fruit, Matteo Pirotta, Alessandro Lazaric +1
cs.LGstat.MLarXiv:1802.04020v22018
Asymptotically Exact, Embarrassingly Parallel MCMC
Willie Neiswanger, Chong Wang, Eric Xing
stat.MLcs.DCcs.LGarXiv:1311.4780v22013
Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties
Benjamin Kurt Miller, Mario Geiger, Tess E. Smidt +1
cs.LGphysics.chem-phphysics.comp-pharXiv:2008.08461v42020
Challenges of Real-World Reinforcement Learning
Gabriel Dulac-Arnold, Daniel Mankowitz, Todd Hester
cs.LGcs.AIcs.ROarXiv:1904.12901v12019
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
Yang Liu, Hongyi Guo
cs.LGstat.MLarXiv:1910.03231v72019
ETC: Encoding Long and Structured Inputs in Transformers
Joshua Ainslie, Santiago Ontanon, Chris Alberti +7
cs.LGstat.MLarXiv:2004.08483v52020
Learning from Rules Generalizing Labeled Exemplars
Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal +1
cs.LGcs.CLstat.MLarXiv:2004.06025v22020
Statistical Inference for Networks of High-Dimensional Point Processes
Xu Wang, Mladen Kolar, Ali Shojaie
stat.MLcs.LGarXiv:2007.07448v12020
Efficient quadratic entropy with distance sketches
Steve Huntsman
stat.MLcs.LGmath.STarXiv:2610.11976v12026
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges
Laura Swiler, Mamikon Gulian, Ari Frankel +2
cs.LGmath.STstat.MLarXiv:2006.09319v32020
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
Lukas Mosser, Olivier Dubrule, Martin J. Blunt
physics.geo-phcs.CVstat.MLarXiv:1806.03720v12018
A Practical Guide on Graphical Model Validation
Mario V. Wüthrich
stat.MLcs.LGq-fin.RMarXiv:2609.26445v12026
Prevalence of Neural Collapse during the terminal phase of deep learning training
Vardan Papyan, X. Y. Han, David L. Donoho
cs.LGcs.CVstat.MLarXiv:2008.08186v22020
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
Alex Olsen, Dmitry A. Konovalov, Bronson Philippa +10
cs.CVcs.LGstat.MLarXiv:1810.05726v32018
Long-tail learning via logit adjustment
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat +3
cs.LGstat.MLarXiv:2007.07314v22020
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns
Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
stat.APcs.LGcs.NEarXiv:1909.04293v22019
A Comprehensive Survey of Deep Learning for Image Captioning
Md. Zakir Hossain, Ferdous Sohel, Mohd Fairuz Shiratuddin +1
cs.CVcs.LGstat.MLarXiv:1810.04020v22018
DART: Dropouts meet Multiple Additive Regression Trees
K. V. Rashmi, Ran Gilad-Bachrach
cs.LGstat.MLarXiv:1505.01866v12015
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks
Szu-Wei Fu, Tao-Wei Wang, Yu Tsao +2
stat.MLcs.LGcs.SDarXiv:1709.03658v22017
Galactica: A Large Language Model for Science
Ross Taylor, Marcin Kardas, Guillem Cucurull +6
cs.CLstat.MLarXiv:2211.09085v12022
Solving Schrödinger Bridges via Maximum Likelihood
Francisco Vargas, Pierre Thodoroff, Neil D. Lawrence +1
stat.MLcs.LGarXiv:2106.02081v92021
Interval Neural Networks: Uncertainty Scores
Luis Oala, Cosmas Heiß, Jan Macdonald +3
cs.LGcs.CVeess.IVarXiv:2003.11566v12020
Is $\sqrt{d}$ Separation Necessary for Gradient EM to Learn Gaussian Mixtures in High Dimensions?
Yiran Zhang, Mo Zhou, Weihang Xu +2
stat.MLcs.LGarXiv:2610.07551v12026
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
Simon S. Du, Sham M. Kakade, Ruosong Wang +1
cs.LGcs.AImath.OCarXiv:1910.03016v42019
Are Labels Required for Improving Adversarial Robustness?
Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang +3
cs.LGcs.CVstat.MLarXiv:1905.13725v42019
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard, Oisin Mac Aodha, Gabriel J. Brostow
cs.CVcs.LGstat.MLarXiv:1609.03677v32016
Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration
Soham De, Anirbit Mukherjee, Enayat Ullah
cs.LGmath.OCstat.MLarXiv:1807.06766v32018
3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation
Qiao Zheng, Hervé Delingette, Nicolas Duchateau +1
cs.CVcs.AIcs.LGarXiv:1804.09400v12018
Federated Learning for Keyword Spotting
David Leroy, Alice Coucke, Thibaut Lavril +2
eess.AScs.CLcs.LGarXiv:1810.05512v42018
Learning a Neural-network-based Representation for Open Set Recognition
Mehadi Hassen, Philip K. Chan
cs.LGcs.CRstat.MLarXiv:1802.04365v12018
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Haowen Fang, Amar Shrestha, Ziyi Zhao +1
cs.NEcs.LGstat.MLarXiv:2003.02944v22020
Does Muon Need Fine-Grained Spectral Shaping?
Meher Chaitanya, Tianyi Zhou, Aristides Gionis
cs.AIcs.LGstat.MLarXiv:2610.07497v12026
On the loss landscape of a class of deep neural networks with no bad local valleys
Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein
cs.LGcs.AIcs.CVarXiv:1809.10749v22018
FedCoin: A Peer-to-Peer Payment System for Federated Learning
Yuan Liu, Shuai Sun, Zhengpeng Ai +3
cs.CRcs.LGstat.MLarXiv:2002.11711v12020
Predicting Neural Network Accuracy from Weights
Thomas Unterthiner, Daniel Keysers, Sylvain Gelly +2
stat.MLcs.LGarXiv:2002.11448v42020
Conditional Flow Matching for Transport Between Markov Processes
Syamantak Kumar, Dheeraj Nagaraj, Saptarshi Roy +1
cs.LGstat.MLarXiv:2610.07229v12026
Learning De-biased Representations with Biased Representations
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun +2
cs.CVcs.LGstat.MLarXiv:1910.02806v32019
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang +2
cs.CVcs.AIcs.LGarXiv:1607.03516v22016
Similarity of Neural Networks with Gradients
Shuai Tang, Wesley J. Maddox, Charlie Dickens +2
cs.LGstat.MLarXiv:2003.11498v12020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu, Maithra Raghu, Samy Bengio +1
cs.LGstat.MLarXiv:1909.09157v22019
RNA Secondary Structure Prediction By Learning Unrolled Algorithms
Xinshi Chen, Yu Li, Ramzan Umarov +2
cs.LGstat.MLarXiv:2002.05810v12020
TRACE-C: Rank-Calibrated Relational Anomaly Detection for Multi-Stream Operational Telemetry
Matthew Faucher
cs.LGstat.MLarXiv:2608.21251v12026
Compressed Sensing using Generative Models
Ashish Bora, Ajil Jalal, Eric Price +1
stat.MLcs.ITcs.LGarXiv:1703.03208v12017
Sudo rm -rf: Efficient Networks for Universal Audio Source Separation
Efthymios Tzinis, Zhepei Wang, Paris Smaragdis
eess.AScs.CLcs.LGarXiv:2007.06833v12020
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization
Paras Jain, Ajay Jain, Aniruddha Nrusimha +5
cs.LGcs.CVcs.DCarXiv:1910.02653v32019
Meta-Learning in Neural Networks: A Survey
Timothy Hospedales, Antreas Antoniou, Paul Micaelli +1
cs.LGstat.MLarXiv:2004.05439v22020

Machine Learning (stat)

Accurate Genomic Prediction Of Human Height

Clustering with t-SNE, provably

COT-GAN: Generating Sequential Data via Causal Optimal Transport

High-dimensional online calibration from harmonic weights

NumericJev: Jev-like LLM Numerical Decoding with Multiway Decision Trees

Shapley explainability on the data manifold

Ridge Regularization: an Essential Concept in Data Science

Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No Pure-Pixel Case

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

Federated Multi-Task Learning under a Mixture of Distributions

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

Generative Adversarial Networks

A Kernel Test of Goodness of Fit

Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning

Asymptotically Exact, Embarrassingly Parallel MCMC

Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties

Challenges of Real-World Reinforcement Learning

Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates

ETC: Encoding Long and Structured Inputs in Transformers

Learning from Rules Generalizing Labeled Exemplars

Statistical Inference for Networks of High-Dimensional Point Processes

Efficient quadratic entropy with distance sketches

A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges

Stochastic seismic waveform inversion using generative adversarial networks as a geological prior

A Practical Guide on Graphical Model Validation

Prevalence of Neural Collapse during the terminal phase of deep learning training

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

Long-tail learning via logit adjustment

LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns

A Comprehensive Survey of Deep Learning for Image Captioning

DART: Dropouts meet Multiple Additive Regression Trees

End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks

Galactica: A Large Language Model for Science

Solving Schrödinger Bridges via Maximum Likelihood

Interval Neural Networks: Uncertainty Scores

Is $\sqrt{d}$ Separation Necessary for Gradient EM to Learn Gaussian Mixtures in High Dimensions?

Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?

Are Labels Required for Improving Adversarial Robustness?

Unsupervised Monocular Depth Estimation with Left-Right Consistency

Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration

3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation

Federated Learning for Keyword Spotting

Learning a Neural-network-based Representation for Open Set Recognition

Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network

Does Muon Need Fine-Grained Spectral Shaping?

On the loss landscape of a class of deep neural networks with no bad local valleys

FedCoin: A Peer-to-Peer Payment System for Federated Learning

Predicting Neural Network Accuracy from Weights

Conditional Flow Matching for Transport Between Markov Processes

Learning De-biased Representations with Biased Representations

Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation

Similarity of Neural Networks with Gradients

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

RNA Secondary Structure Prediction By Learning Unrolled Algorithms

TRACE-C: Rank-Calibrated Relational Anomaly Detection for Multi-Stream Operational Telemetry

Compressed Sensing using Generative Models

Sudo rm -rf: Efficient Networks for Universal Audio Source Separation

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization

Meta-Learning in Neural Networks: A Survey