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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8,161 to 8,220 of 9,699

On the Convergence of Adam and Beyond
Sashank J. Reddi, Satyen Kale, Sanjiv Kumar
cs.LGmath.OCstat.MLarXiv:1904.09237v12019
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen, Yuandong Tian
cs.LGcs.AIstat.MLarXiv:1810.00337v52018
Local Saddle Point Optimization: A Curvature Exploitation Approach
Leonard Adolphs, Hadi Daneshmand, Aurelien Lucchi +1
cs.LGmath.OCstat.MLarXiv:1805.05751v32018
When Does LeJEPA Learn a World Model?
David Klindt, Yann LeCun, Randall Balestriero
stat.MLcs.LGarXiv:2605.26379v12026
Explainable Reinforcement Learning Through a Causal Lens
Prashan Madumal, Tim Miller, Liz Sonenberg +1
cs.LGcs.AIcs.HCarXiv:1905.10958v22019
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
Nitin Rathi, Kaushik Roy
cs.NEcs.LGstat.MLarXiv:2008.03658v32020
Variational Inference in Nonconjugate Models
Chong Wang, David M. Blei
stat.MLarXiv:1209.4360v42012
Random Reshuffling: Simple Analysis with Vast Improvements
Konstantin Mishchenko, Ahmed Khaled, Peter Richtárik
math.OCcs.LGstat.MLarXiv:2006.05988v32020
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
cs.LGcs.AIstat.MLarXiv:1809.05922v22018
Training DNNs with Hybrid Block Floating Point
Mario Drumond, Tao Lin, Martin Jaggi +1
cs.LGcs.NAmath.NAarXiv:1804.01526v42018
Sparse Principal Component Analysis via Variable Projection
N. Benjamin Erichson, Peng Zheng, Krithika Manohar +3
stat.MLcs.LGarXiv:1804.00341v32018
Stable Neural Flows
Stefano Massaroli, Michael Poli, Michelangelo Bin +3
cs.LGmath.OCstat.MLarXiv:2003.08063v12020
Training Deep Learning Based Denoisers without Ground Truth Data
Shakarim Soltanayev, Se Young Chun
cs.CVstat.MLarXiv:1803.01314v42018
A Novel Community Detection Based Genetic Algorithm for Feature Selection
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
cs.LGcs.NEstat.MLarXiv:2008.03543v12020
Black Box Variational Inference
Rajesh Ranganath, Sean Gerrish, David M. Blei
stat.MLcs.LGstat.COarXiv:1401.0118v12013
True Few-Shot Learning with Language Models
Ethan Perez, Douwe Kiela, Kyunghyun Cho
cs.CLcs.LGstat.MLarXiv:2105.11447v12021
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen, Yankai Lin, Wei Li +3
cs.LGcs.SIstat.MLarXiv:1909.03211v22019
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto +8
eess.AScs.LGcs.SDarXiv:2006.05822v22020
Adversarial Attacks and Defences: A Survey
Anirban Chakraborty, Manaar Alam, Vishal Dey +2
cs.LGcs.CRstat.MLarXiv:1810.00069v12018
Spectrally approximating large graphs with smaller graphs
Andreas Loukas, Pierre Vandergheynst
cs.LGcs.DSstat.MLarXiv:1802.07510v12018
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Kashyap Chitta, Jose M. Alvarez, Adam Lesnikowski
cs.CVcs.LGstat.MLarXiv:1811.03575v32018
Distributed Gaussian Processes
Marc Peter Deisenroth, Jun Wei Ng
stat.MLarXiv:1502.02843v32015
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups
Paul Rolland, Jonathan Scarlett, Ilija Bogunovic +1
cs.LGstat.MLarXiv:1802.07028v22018
SparseMAP: Differentiable Sparse Structured Inference
Vlad Niculae, André F. T. Martins, Mathieu Blondel +1
stat.MLcs.CLcs.LGarXiv:1802.04223v22018
Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process
Guy Blanc, Neha Gupta, Gregory Valiant +1
cs.LGstat.MLarXiv:1904.09080v22019
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan +1
cs.LGcond-mat.dis-nnq-bio.NCarXiv:1503.03585v82015
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
Jiaoyang Huang, Horng-Tzer Yau
cs.LGstat.MLarXiv:1909.08156v12019
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani, Amir Hosein Khasahmadi
cs.LGstat.MLarXiv:2006.05582v12020
Impact of regularization on Spectral Clustering
Antony Joseph, Bin Yu
stat.MLarXiv:1312.1733v22013
Meta Flow Maps enable scalable reward alignment
Peter Potaptchik, Adhi Saravanan, Abbas Mammadov +3
stat.MLcs.LGarXiv:2601.14430v22026
Deep supervised learning using local errors
Hesham Mostafa, Vishwajith Ramesh, Gert Cauwenberghs
cs.NEcs.LGstat.MLarXiv:1711.06756v12017
Provable approximation properties for deep neural networks
Uri Shaham, Alexander Cloninger, Ronald R. Coifman
stat.MLcs.LGcs.NEarXiv:1509.07385v32015
An Introduction to Probabilistic Programming
Jan-Willem van de Meent, Brooks Paige, Hongseok Yang +1
stat.MLcs.AIcs.LGarXiv:1809.10756v22018
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
Matteo Turchetta, Felix Berkenkamp, Andreas Krause
cs.LGcs.AIcs.ROarXiv:1606.04753v22016
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
Zequn Sun, Qingheng Zhang, Wei Hu +4
cs.CLcs.AIcs.DBarXiv:2003.07743v22020
On the Power of Differentiable Learning versus PAC and SQ Learning
Emmanuel Abbe, Pritish Kamath, Eran Malach +2
cs.LGstat.MLarXiv:2108.04190v22021
Methods for Interpreting and Understanding Deep Neural Networks
Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
cs.LGstat.MLarXiv:1706.07979v12017
A Change-Detection based Framework for Piecewise-stationary Multi-Armed Bandit Problem
Fang Liu, Joohyun Lee, Ness Shroff
cs.LGcs.AIstat.MLarXiv:1711.03539v22017
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp, Mitch Hill, Song-Chun Zhu +1
stat.MLcs.LGarXiv:1904.09770v42019
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs
Jun Zhu, Ning Chen, Eric P. Xing
cs.LGcs.AIstat.MEarXiv:1210.1766v32012
Stochastic Variational Inference
Matt Hoffman, David M. Blei, Chong Wang +1
stat.MLcs.AIstat.COarXiv:1206.7051v32012
Invariance of Clustering Operations in Causal Effect Identification
Jani Nykänen, Otto Tabell, Santtu Tikka +1
stat.MLcs.LGarXiv:2610.03101v12026
Unsupervised Learning of Semantic Audio Representations
Aren Jansen, Manoj Plakal, Ratheet Pandya +5
cs.SDeess.ASstat.MLarXiv:1711.02209v12017
Learning Invariant Representations with Local Transformations
Kihyuk Sohn, Honglak Lee
cs.LGcs.CVstat.MLarXiv:1206.6418v12012
Repulsive Deep Ensembles are Bayesian
Francesco D'Angelo, Vincent Fortuin
cs.LGstat.MLarXiv:2106.11642v32021
From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence
Marc Finzi, Shikai Qiu, Yiding Jiang +3
cs.LGstat.MLarXiv:2601.03220v22026
Wasserstein Fair Classification
Ray Jiang, Aldo Pacchiano, Tom Stepleton +2
stat.MLcs.LGarXiv:1907.12059v12019
On Polynomial Time Methods for Exact Low Rank Tensor Completion
Dong Xia, Ming Yuan
stat.MLcs.ITcs.LGarXiv:1702.06980v12017
Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance
Daichi Kuroda, Maximilien Dreveton, Matthias Grossglauser +1
cs.LGstat.MEstat.MLarXiv:2609.11173v12026
Rényi Divergence and Kullback-Leibler Divergence
Tim van Erven, Peter Harremoës
cs.ITmath.STstat.MLarXiv:1206.2459v22012
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima, Jonathan Gordon, John Bronskill +2
stat.MLcs.LGarXiv:1906.07697v22019
Inductive Moment Matching
Linqi Zhou, Stefano Ermon, Jiaming Song
cs.LGcs.AIstat.MLarXiv:2503.07565v72025
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal +2
cs.LGstat.MLarXiv:1905.10347v12019
Advantage of Sample Complexity in Quantum PAC Learning Requires Inverse Access to State-Preparation Unitaries
Natsuto Isogai, Satoshi Yoshida, Mio Murao
quant-phcs.LGstat.MLarXiv:2609.38403v12026
Understanding and Comparing Deep Neural Networks for Age and Gender Classification
Sebastian Lapuschkin, Alexander Binder, Klaus-Robert Müller +1
stat.MLcs.AIcs.CVarXiv:1708.07689v12017
Optimal Alternating Regret for Online Learning and Games
Yixin Tao, Weiqiang Zheng
cs.LGcs.GTstat.MLarXiv:2608.24731v12026
Accurate estimation of influenza epidemics using Google search data via ARGO
Shihao Yang, Mauricio Santillana, S. C. Kou
stat.APcs.SIstat.MLarXiv:1505.00864v22015
TSLANet: Rethinking Transformers for Time Series Representation Learning
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen +2
cs.LGstat.MLarXiv:2404.08472v22024
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection
Joseph Futoma, Sanjay Hariharan, Mark Sendak +5
stat.MLstat.APstat.MEarXiv:1708.05894v12017
MuLan: A Joint Embedding of Music Audio and Natural Language
Qingqing Huang, Aren Jansen, Joonseok Lee +3
eess.AScs.CLcs.SDarXiv:2208.12415v12022

Machine Learning (stat)

On the Convergence of Adam and Beyond

Learning to Perform Local Rewriting for Combinatorial Optimization

Local Saddle Point Optimization: A Curvature Exploitation Approach

When Does LeJEPA Learn a World Model?

Explainable Reinforcement Learning Through a Causal Lens

DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

Variational Inference in Nonconjugate Models

Random Reshuffling: Simple Analysis with Vast Improvements

Memory Efficient Experience Replay for Streaming Learning

Training DNNs with Hybrid Block Floating Point

Sparse Principal Component Analysis via Variable Projection

Stable Neural Flows

Training Deep Learning Based Denoisers without Ground Truth Data

A Novel Community Detection Based Genetic Algorithm for Feature Selection

Black Box Variational Inference

True Few-Shot Learning with Language Models

Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View

Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

Adversarial Attacks and Defences: A Survey

Spectrally approximating large graphs with smaller graphs

Large-Scale Visual Active Learning with Deep Probabilistic Ensembles

Distributed Gaussian Processes

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups

SparseMAP: Differentiable Sparse Structured Inference

Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Dynamics of Deep Neural Networks and Neural Tangent Hierarchy

Contrastive Multi-View Representation Learning on Graphs

Impact of regularization on Spectral Clustering

Meta Flow Maps enable scalable reward alignment

Deep supervised learning using local errors

Provable approximation properties for deep neural networks

An Introduction to Probabilistic Programming

Safe Exploration in Finite Markov Decision Processes with Gaussian Processes

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs

On the Power of Differentiable Learning versus PAC and SQ Learning

Methods for Interpreting and Understanding Deep Neural Networks

A Change-Detection based Framework for Piecewise-stationary Multi-Armed Bandit Problem

Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model

Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs

Stochastic Variational Inference

Invariance of Clustering Operations in Causal Effect Identification

Unsupervised Learning of Semantic Audio Representations

Learning Invariant Representations with Local Transformations

Repulsive Deep Ensembles are Bayesian

From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence

Wasserstein Fair Classification

On Polynomial Time Methods for Exact Low Rank Tensor Completion

Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance

Rényi Divergence and Kullback-Leibler Divergence

Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes

Inductive Moment Matching

Discrete Flows: Invertible Generative Models of Discrete Data

Advantage of Sample Complexity in Quantum PAC Learning Requires Inverse Access to State-Preparation Unitaries

Understanding and Comparing Deep Neural Networks for Age and Gender Classification

Optimal Alternating Regret for Online Learning and Games

Accurate estimation of influenza epidemics using Google search data via ARGO

TSLANet: Rethinking Transformers for Time Series Representation Learning

An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection

MuLan: A Joint Embedding of Music Audio and Natural Language