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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5,461 to 5,520 of 6,778

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
cs.LGstat.MLarXiv:2012.08791v22020
Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu, Maxim Raginsky
cs.LGcs.ITstat.MLarXiv:1705.07809v22017
Causality for Machine Learning
Bernhard Schölkopf
cs.LGcs.AIstat.MLarXiv:1911.10500v22019
Online Learning: A Modern Introduction Using Convex Optimization
Francesco Orabona
cs.LGmath.OCstat.MLarXiv:1912.13213v102019
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-Ling Loh, Martin J. Wainwright
math.STcs.ITstat.MLarXiv:1305.2436v22013
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
Yiping Lu, Aoxiao Zhong, Quanzheng Li +1
cs.CVcs.LGstat.MLarXiv:1710.10121v32017
Fake News Detection on Social Media using Geometric Deep Learning
Federico Monti, Fabrizio Frasca, Davide Eynard +2
cs.SIcs.LGstat.MLarXiv:1902.06673v12019
Top-K Off-Policy Correction for a REINFORCE Recommender System
Minmin Chen, Alex Beutel, Paul Covington +3
cs.LGcs.IRstat.MLarXiv:1812.02353v32018
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities
Hai Pham, Paul Pu Liang, Thomas Manzini +2
cs.LGcs.CLcs.CVarXiv:1812.07809v22018
The geometry of AI validation: Exact certification limits for iid best-of-N search
Ricardo Fitas
cs.LGmath.STstat.MLarXiv:2608.21496v12026
Insights on representational similarity in neural networks with canonical correlation
Ari S. Morcos, Maithra Raghu, Samy Bengio
stat.MLcs.AIcs.CVarXiv:1806.05759v32018
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
Nikolaus Hansen, Anne Auger, Raymond Ros +3
cs.AIcs.MSmath.NAarXiv:1603.08785v42016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation
Qiang Liu, Jason D. Lee, Michael I. Jordan
stat.MLarXiv:1602.03253v22016
Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas, Gautam Kamath, Daniel Kane +3
cs.DScs.ITcs.LGarXiv:1604.06443v22016
Essentially No Barriers in Neural Network Energy Landscape
Felix Draxler, Kambis Veschgini, Manfred Salmhofer +1
stat.MLcs.AIcs.LGarXiv:1803.00885v52018
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Meelis Kull, Miquel Perello-Nieto, Markus Kängsepp +3
cs.LGstat.MLarXiv:1910.12656v12019
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin
eess.IVcs.AIcs.CVarXiv:2003.04696v52020
Frame-Recurrent Video Super-Resolution
Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown
cs.CVcs.AIstat.MLarXiv:1801.04590v42018
Scaling Distributed Machine Learning with In-Network Aggregation
Amedeo Sapio, Marco Canini, Chen-Yu Ho +7
cs.DCcs.LGcs.NIarXiv:1903.06701v22019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Abhishek Gupta, Vikash Kumar, Corey Lynch +2
cs.LGcs.ROstat.MLarXiv:1910.11956v12019
Spatially Transformed Adversarial Examples
Chaowei Xiao, Jun-Yan Zhu, Bo Li +3
cs.CRcs.CVstat.MLarXiv:1801.02612v22018
Guidance for Prior Change via Density Ratio Estimation
Yichen Zang, Song Liu, Jiun-Yi Lin
stat.MLcs.LGstat.MEarXiv:2608.21729v12026
On the Utility of Learning about Humans for Human-AI Coordination
Micah Carroll, Rohin Shah, Mark K. Ho +4
cs.LGcs.AIcs.HCarXiv:1910.05789v22019
Spectral partitioning for $k$-block averaging kernels of finite Markov chains
Michael C. H. Choi, Youjia Wang
stat.MLcs.ITcs.LGarXiv:2608.21466v12026
Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos +77
stat.APcs.LGecon.EMarXiv:2012.03854v42020
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters
Dmitry Kobak, Wieland Brendel, Christos Constantinidis +7
q-bio.NCstat.MLarXiv:1410.6031v12014
Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments
Khang Luong, Nam Nguyen, Hoang Ta +2
cs.LGcs.AIstat.MLarXiv:2608.21995v12026
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
Stanislas Chambon, Mathieu Galtier, Pierrick Arnal +2
stat.MLcs.CVq-bio.NCarXiv:1707.03321v22017
Gauss--Hermite Quadrature for Gaussian-Mixture Entropy with an Action-Space Hermite Surrogate
Jae Wan Shim
stat.MLcs.ITcs.LGarXiv:2608.21467v22026
GeoQ: Geometry-Aware Conditional Quantile Error Estimation for Scientific Surrogate Models
Khoa Nguyen, Daniel Serino, Aviral Prakash +1
cs.LGstat.MLarXiv:2608.21652v12026
Adversarial Robustness Toolbox v1.0.0
Maria-Irina Nicolae, Mathieu Sinn, Minh Ngoc Tran +9
cs.LGstat.MLarXiv:1807.01069v42018
Sparse Additive Off-Policy Evaluation for Reinforcement Learning with Potentially Limited Number of Trajectories
Tuoyi Zhao, Chengchun Shi, Zhengling Qi +1
stat.MLcs.LGmath.STarXiv:2608.22595v12026
Q-Learning with Stable Infinite-Dimensional Linear Function Approximation
Shengbo Wang
cs.LGmath.OCstat.MLarXiv:2608.22636v12026
Subzero matrix completion for sparse data analysis: large-scale learning of latent low-rank structure
Lawrence K. Saul, Ningyuan Huang, Dennis Bollweg +2
cs.LGstat.MLarXiv:2608.21607v12026
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case
Neo Wu, Bradley Green, Xue Ben +1
cs.LGstat.MLarXiv:2001.08317v12020
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks
Yasar Sinan Nasir, Dongning Guo
eess.SPcs.ITstat.MLarXiv:1808.00490v32018
Towards Efficient Data Valuation Based on the Shapley Value
Ruoxi Jia, David Dao, Boxin Wang +7
cs.LGstat.MLarXiv:1902.10275v32019
Barren Plateaus in Variational Quantum Computing
Martin Larocca, Supanut Thanasilp, Samson Wang +7
quant-phcs.LGstat.MLarXiv:2405.00781v22024
Generalization in quantum machine learning from few training data
Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo +4
quant-phcs.LGstat.MLarXiv:2111.05292v22021
Qualitatively characterizing neural network optimization problems
Ian J. Goodfellow, Oriol Vinyals, Andrew M. Saxe
cs.NEcs.LGstat.MLarXiv:1412.6544v62014
Invariant and Equivariant Graph Networks
Haggai Maron, Heli Ben-Hamu, Nadav Shamir +1
cs.LGstat.MLarXiv:1812.09902v22018
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Mahyar Fazlyab, Alexander Robey, Hamed Hassani +2
cs.LGcs.AImath.OCarXiv:1906.04893v22019
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
Gabriel Lima Guimaraes, Benjamin Sanchez-Lengeling, Carlos Outeiral +2
stat.MLcs.LGarXiv:1705.10843v32017
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Gowthami Somepalli, Micah Goldblum, Avi Schwarzschild +2
cs.LGcs.AIstat.MLarXiv:2106.01342v12021
One Inverse Step is a Convex Program: Bayes-Limit Calibration of Diffusion Inversion
Gordei Verbii
stat.MLcs.LGarXiv:2608.23094v12026
Stochastic gradient descent with initial regularization
Nabil Kahalé
cs.LGmath.OCstat.MLarXiv:2608.22953v12026
Measuring the Intrinsic Dimension of Objective Landscapes
Chunyuan Li, Heerad Farkhoor, Rosanne Liu +1
cs.LGcs.NEstat.MLarXiv:1804.08838v12018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
Nicolas Papernot, Patrick McDaniel
cs.LGstat.MLarXiv:1803.04765v12018
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Andrew Gordon Wilson, Hannes Nickisch
cs.LGstat.MLarXiv:1503.01057v12015
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu, Zi Lin, Shreyas Padhy +3
cs.LGstat.MLarXiv:2006.10108v22020
Quaternion Knowledge Graph Embeddings
Shuai Zhang, Yi Tay, Lina Yao +1
cs.LGcs.CLstat.MLarXiv:1904.10281v32019
Position-aware Graph Neural Networks
Jiaxuan You, Rex Ying, Jure Leskovec
cs.LGcs.SIstat.MLarXiv:1906.04817v22019
Unsupervised Learning of Disentangled Representations from Video
Remi Denton, Vighnesh Birodkar
cs.LGcs.AIcs.CVarXiv:1705.10915v12017
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT
Yoseob Han, Jong Chul Ye
cs.CVcs.LGstat.MLarXiv:1708.08333v32017
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Deepak Nathani, Jatin Chauhan, Charu Sharma +1
cs.LGcs.CLstat.MLarXiv:1906.01195v12019
Geometric GAN
Jae Hyun Lim, Jong Chul Ye
stat.MLcond-mat.dis-nncs.AIarXiv:1705.02894v22017
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
Huy Phan, Fernando Andreotti, Navin Cooray +2
cs.LGeess.SPstat.MLarXiv:1809.10932v32018
Direct Feedback Alignment Provides Learning in Deep Neural Networks
Arild Nøkland
stat.MLcs.LGarXiv:1609.01596v52016
Stochastic Activation Pruning for Robust Adversarial Defense
Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton +4
cs.LGstat.MLarXiv:1803.01442v12018
Sparse Separable Factor Analysis in the Complex Domain with an Application to Local Field Potential Data
Ian Hultman, Kirtikanth Kalapatapu, Yassine Filali +2
stat.MLcs.LGstat.COarXiv:2608.21551v12026

Machine Learning (stat)

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

Information-theoretic analysis of generalization capability of learning algorithms

Causality for Machine Learning

Online Learning: A Modern Introduction Using Convex Optimization

Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima

Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations

Fake News Detection on Social Media using Geometric Deep Learning

Top-K Off-Policy Correction for a REINFORCE Recommender System

Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities

The geometry of AI validation: Exact certification limits for iid best-of-N search

Insights on representational similarity in neural networks with canonical correlation

COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting

A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation

Robust Estimators in High Dimensions without the Computational Intractability

Essentially No Barriers in Neural Network Energy Landscape

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

Frame-Recurrent Video Super-Resolution

Scaling Distributed Machine Learning with In-Network Aggregation

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

Spatially Transformed Adversarial Examples

Guidance for Prior Change via Density Ratio Estimation

On the Utility of Learning about Humans for Human-AI Coordination

Spectral partitioning for $k$-block averaging kernels of finite Markov chains

Forecasting: theory and practice

Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters

Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments

A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series

Gauss--Hermite Quadrature for Gaussian-Mixture Entropy with an Action-Space Hermite Surrogate

GeoQ: Geometry-Aware Conditional Quantile Error Estimation for Scientific Surrogate Models

Adversarial Robustness Toolbox v1.0.0

Sparse Additive Off-Policy Evaluation for Reinforcement Learning with Potentially Limited Number of Trajectories

Q-Learning with Stable Infinite-Dimensional Linear Function Approximation

Subzero matrix completion for sparse data analysis: large-scale learning of latent low-rank structure

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

Towards Efficient Data Valuation Based on the Shapley Value

Barren Plateaus in Variational Quantum Computing

Generalization in quantum machine learning from few training data

Qualitatively characterizing neural network optimization problems

Invariant and Equivariant Graph Networks

Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

One Inverse Step is a Convex Program: Bayes-Limit Calibration of Diffusion Inversion

Stochastic gradient descent with initial regularization

Measuring the Intrinsic Dimension of Objective Landscapes

Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning

Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

Quaternion Knowledge Graph Embeddings

Position-aware Graph Neural Networks

Unsupervised Learning of Disentangled Representations from Video

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

Geometric GAN

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

Direct Feedback Alignment Provides Learning in Deep Neural Networks

Stochastic Activation Pruning for Robust Adversarial Defense

Sparse Separable Factor Analysis in the Complex Domain with an Application to Local Field Potential Data