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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3,721 to 3,780 of 6,784

Stationary signal processing on graphs
Nathanaël Perraudin, Pierre Vandergheynst
cs.DSstat.APstat.MLarXiv:1601.02522v52016
Symplectic Recurrent Neural Networks
Zhengdao Chen, Jianyu Zhang, Martin Arjovsky +1
cs.LGstat.MLarXiv:1909.13334v22019
ProjE: Embedding Projection for Knowledge Graph Completion
Baoxu Shi, Tim Weninger
cs.AIstat.MLarXiv:1611.05425v12016
Conditional Gaussian Distribution Learning for Open Set Recognition
Xin Sun, Zhenning Yang, Chi Zhang +2
cs.LGstat.MLarXiv:2003.08823v42020
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Chuizheng Meng, Sungyong Seo, Defu Cao +2
cs.LGstat.MLarXiv:2203.16797v12022
Quantum machine learning beyond kernel methods
Sofiene Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup +3
quant-phcs.AIcs.LGarXiv:2110.13162v32021
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Urs Köster, Tristan J. Webb, Xin Wang +11
cs.LGmath.NAstat.MLarXiv:1711.02213v22017
Sliced Wasserstein Kernel for Persistence Diagrams
Mathieu Carrière, Marco Cuturi, Steve Oudot
cs.CGmath.ATstat.MLarXiv:1706.03358v32017
DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification
Rohit Babbar, Bernhard Shoelkopf
stat.MLcs.LGarXiv:1609.02521v12016
Training Neural Networks with Local Error Signals
Arild Nøkland, Lars Hiller Eidnes
stat.MLcs.CVcs.LGarXiv:1901.06656v22019
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors
Christos Louizos, Max Welling
stat.MLcs.LGarXiv:1603.04733v52016
Curvature-Aware Radius Shrinkage for Adaptive Nearest Neighbor Classification
Alexandre L. M. Levada
cs.LGcs.AIcs.CVarXiv:2608.27634v12026
PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts
Franck Dernoncourt, Ji Young Lee
cs.CLcs.AIstat.MLarXiv:1710.06071v12017
Deep learning in color: towards automated quark/gluon jet discrimination
Patrick T. Komiske, Eric M. Metodiev, Matthew D. Schwartz
hep-phstat.MLarXiv:1612.01551v32016
Graph Representation Learning: A Survey
Fenxiao Chen, Yuncheng Wang, Bin Wang +1
cs.LGcs.SIstat.MLarXiv:1909.00958v12019
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing
Jed Mills, Jia Hu, Geyong Min
cs.LGstat.MLarXiv:2007.09236v32020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Marvin Zhang, Henrik Marklund, Nikita Dhawan +3
cs.LGstat.MLarXiv:2007.02931v42020
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani +2
cs.LGcs.CRcs.CVarXiv:2101.04898v22021
Predicting Factuality of Reporting and Bias of News Media Sources
Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov +2
cs.IRcs.LGstat.MLarXiv:1810.01765v12018
Concrete Autoencoders for Differentiable Feature Selection and Reconstruction
Abubakar Abid, Muhammad Fatih Balin, James Zou
cs.LGstat.MLarXiv:1901.09346v22019
Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network
Kuai Fang, Chaopeng Shen, Daniel Kifer +1
stat.MLarXiv:1707.06611v32017
M2m: Imbalanced Classification via Major-to-minor Translation
Jaehyung Kim, Jongheon Jeong, Jinwoo Shin
cs.CVcs.LGstat.MLarXiv:2004.00431v22020
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Shikuang Deng, Shi Gu
cs.NEstat.MLarXiv:2103.00476v12021
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization
Alekh Agarwal, Peter L. Bartlett, Pradeep Ravikumar +1
stat.MLeess.SYmath.OCarXiv:1009.0571v32010
Autonomous discovery in the chemical sciences part I: Progress
Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen
q-bio.QMcs.AIcs.ROarXiv:2003.13754v12020
Approximating Likelihood Ratios with Calibrated Discriminative Classifiers
Kyle Cranmer, Juan Pavez, Gilles Louppe
stat.APphysics.data-anstat.MLarXiv:1506.02169v22015
Practical Deep Learning with Bayesian Principles
Kazuki Osawa, Siddharth Swaroop, Anirudh Jain +4
stat.MLcs.LGarXiv:1906.02506v22019
Assessing Generalization in Deep Reinforcement Learning
Charles Packer, Katelyn Gao, Jernej Kos +3
cs.LGcs.AIstat.MLarXiv:1810.12282v22018
Random Features Strengthen Graph Neural Networks
Ryoma Sato, Makoto Yamada, Hisashi Kashima
cs.LGstat.MLarXiv:2002.03155v32020
Efficient Search for Diverse Coherent Explanations
Chris Russell
cs.LGstat.MLarXiv:1901.04909v12019
An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems
Bo Wahlberg, Stephen Boyd, Mariette Annergren +1
stat.MLarXiv:1203.1828v12012
Houdini: Fooling Deep Structured Prediction Models
Moustapha Cisse, Yossi Adi, Natalia Neverova +1
stat.MLcs.AIcs.CRarXiv:1707.05373v12017
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate
Mikhail Belkin, Daniel Hsu, Partha Mitra
stat.MLcond-mat.stat-mechcs.LGarXiv:1806.05161v32018
Improved training of end-to-end attention models for speech recognition
Albert Zeyer, Kazuki Irie, Ralf Schlüter +1
cs.CLcs.LGstat.MLarXiv:1805.03294v12018
Approximating Continuous Functions by ReLU Nets of Minimal Width
Boris Hanin, Mark Sellke
stat.MLcs.CCcs.LGarXiv:1710.11278v22017
Sparse learning of stochastic dynamic equations
Lorenzo Boninsegna, Feliks Nüske, Cecilia Clementi
stat.MLcond-mat.stat-mecharXiv:1712.02432v12017
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Mahesh Chandra Mukkamala, Matthias Hein
cs.LGcs.AIcs.CVarXiv:1706.05507v22017
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri +5
cs.LGcs.CVeess.IVarXiv:2001.02407v32020
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
Xiang Wei, Boqing Gong, Zixia Liu +2
cs.CVcs.LGstat.MLarXiv:1803.01541v12018
One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization
Ju-chieh Chou, Cheng-chieh Yeh, Hung-yi Lee
cs.LGcs.SDeess.ASarXiv:1904.05742v42019
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane, Thijs van Ommen, Tom Claassen +3
cs.LGstat.MLarXiv:1707.06422v32017
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
Lionel Pigou, Aäron van den Oord, Sander Dieleman +2
cs.CVcs.AIcs.LGarXiv:1506.01911v32015
Particle Gibbs with Ancestor Sampling
Fredrik Lindsten, Michael I. Jordan, Thomas B. Schön
stat.COstat.MLarXiv:1401.0604v12014
Generative Adversarial Imitation from Observation
Faraz Torabi, Garrett Warnell, Peter Stone
cs.LGcs.AIstat.MLarXiv:1807.06158v42018
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter
cs.LGphysics.comp-phstat.MLarXiv:2007.04439v32020
Retinal vessel segmentation based on Fully Convolutional Neural Networks
Américo Oliveira, Sérgio Pereira, Carlos A. Silva
eess.IVcs.LGstat.MLarXiv:1812.07110v22018
Fast Weight Attention for Continual Learning
Yifan Zhang, Steve Ta, Jasper Zhang +8
cs.LGcs.CLstat.MLarXiv:2608.27763v12026
DP-CGAN: Differentially Private Synthetic Data and Label Generation
Reihaneh Torkzadehmahani, Peter Kairouz, Benedict Paten
cs.LGstat.MLarXiv:2001.09700v12020
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
Arno Solin, Simo Särkkä
stat.MLarXiv:1401.5508v32014
Ensemble Distribution Distillation
Andrey Malinin, Bruno Mlodozeniec, Mark Gales
stat.MLcs.LGarXiv:1905.00076v32019
Large-Scale Optimal Transport and Mapping Estimation
Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary +3
stat.MLarXiv:1711.02283v22017
Forecasting Economics and Financial Time Series: ARIMA vs. LSTM
Sima Siami-Namini, Akbar Siami Namin
cs.LGq-fin.STstat.MLarXiv:1803.06386v12018
Effective injury forecasting in soccer with GPS training data and machine learning
Alessio Rossi, Luca Pappalardo, Paolo Cintia +3
stat.MLstat.AParXiv:1705.08079v22017
Clustering with t-SNE, provably
George C. Linderman, Stefan Steinerberger
cs.LGstat.MLarXiv:1706.02582v12017
A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov +1
cs.LGcs.CLcs.CVarXiv:1909.12673v22019
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad +1
cs.CVcs.LGstat.MLarXiv:1901.09097v12019
Masking: A New Perspective of Noisy Supervision
Bo Han, Jiangchao Yao, Gang Niu +4
cs.LGstat.MLarXiv:1805.08193v22018
Autoregressive Moving Average Graph Filtering
Elvin Isufi, Andreas Loukas, Andrea Simonetto +1
cs.LGeess.SYstat.MLarXiv:1602.04436v22016
Variational Approaches for Auto-Encoding Generative Adversarial Networks
Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley +1
stat.MLcs.LGarXiv:1706.04987v22017
Active Ranking using Pairwise Comparisons
Kevin G. Jamieson, Robert D. Nowak
cs.LGcs.ITstat.MLarXiv:1109.3701v22011

Machine Learning (stat)

Stationary signal processing on graphs

Symplectic Recurrent Neural Networks

ProjE: Embedding Projection for Knowledge Graph Completion

Conditional Gaussian Distribution Learning for Open Set Recognition

When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning

Quantum machine learning beyond kernel methods

Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks

Sliced Wasserstein Kernel for Persistence Diagrams

DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification

Training Neural Networks with Local Error Signals

Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

Curvature-Aware Radius Shrinkage for Adaptive Nearest Neighbor Classification

PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts

Deep learning in color: towards automated quark/gluon jet discrimination

Graph Representation Learning: A Survey

Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing

Adaptive Risk Minimization: Learning to Adapt to Domain Shift

Unlearnable Examples: Making Personal Data Unexploitable

Predicting Factuality of Reporting and Bias of News Media Sources

Concrete Autoencoders for Differentiable Feature Selection and Reconstruction

Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network

M2m: Imbalanced Classification via Major-to-minor Translation

Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks

Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization

Autonomous discovery in the chemical sciences part I: Progress

Approximating Likelihood Ratios with Calibrated Discriminative Classifiers

Practical Deep Learning with Bayesian Principles

Assessing Generalization in Deep Reinforcement Learning

Random Features Strengthen Graph Neural Networks

Efficient Search for Diverse Coherent Explanations

An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems

Houdini: Fooling Deep Structured Prediction Models

Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate

Improved training of end-to-end attention models for speech recognition

Approximating Continuous Functions by ReLU Nets of Minimal Width

Sparse learning of stochastic dynamic equations

Variants of RMSProp and Adagrad with Logarithmic Regret Bounds

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition

Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect

One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization

Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Particle Gibbs with Ancestor Sampling

Generative Adversarial Imitation from Observation

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

Retinal vessel segmentation based on Fully Convolutional Neural Networks

Fast Weight Attention for Continual Learning

DP-CGAN: Differentially Private Synthetic Data and Label Generation

Hilbert Space Methods for Reduced-Rank Gaussian Process Regression

Ensemble Distribution Distillation

Large-Scale Optimal Transport and Mapping Estimation

Forecasting Economics and Financial Time Series: ARIMA vs. LSTM

Effective injury forecasting in soccer with GPS training data and machine learning

Clustering with t-SNE, provably

A Constructive Prediction of the Generalization Error Across Scales

Driver Distraction Identification with an Ensemble of Convolutional Neural Networks

Masking: A New Perspective of Noisy Supervision

Autoregressive Moving Average Graph Filtering

Variational Approaches for Auto-Encoding Generative Adversarial Networks

Active Ranking using Pairwise Comparisons