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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4,921 to 4,980 of 6,790

Optimal Best Arm Identification with Fixed Confidence
Aurélien Garivier, Emilie Kaufmann
math.STcs.LGstat.MLarXiv:1602.04589v22016
Active Diffusion-Based Inference for Ill-Posed Inverse Problems under Incomplete Priors
Jitao Xu, Nobuo Sato, Yaohang Li
stat.MLcs.AIcs.LGarXiv:2608.27080v12026
Adversarial Training and Robustness for Multiple Perturbations
Florian Tramèr, Dan Boneh
cs.LGcs.CRstat.MLarXiv:1904.13000v22019
Understanding Measures of Uncertainty for Adversarial Example Detection
Lewis Smith, Yarin Gal
stat.MLcs.LGarXiv:1803.08533v12018
The Benefit of Multitask Representation Learning
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
stat.MLcs.LGarXiv:1505.06279v22015
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
Jungmin Kwon, Jeongseop Kim, Hyunseo Park +1
cs.LGstat.MLarXiv:2102.11600v32021
TRACE-CRC: Trajectory-Adaptive Conformal Risk Control for Multi-Step Channel State Information Prediction
Kiarash Rezaei, Mehdi Sattari, Javad Aliakbari +3
cs.LGstat.MLarXiv:2608.27124v12026
GANSynth: Adversarial Neural Audio Synthesis
Jesse Engel, Kumar Krishna Agrawal, Shuo Chen +3
cs.SDcs.LGeess.ASarXiv:1902.08710v22019
Learning graphs from data: A signal representation perspective
Xiaowen Dong, Dorina Thanou, Michael Rabbat +1
cs.LGcs.SIstat.MLarXiv:1806.00848v32018
Continual learning with hypernetworks
Johannes von Oswald, Christian Henning, Benjamin F. Grewe +1
cs.LGcs.AIstat.MLarXiv:1906.00695v42019
Recovering Expert Critic-Sourced Network Adjacency between Musical Artists from Acoustic Distributions: A Construct-Validity Approach
Elena Badillo-Goicoechea, Fengfeng He
stat.MLcs.LGarXiv:2608.27291v12026
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan, Jinjun Xiong, Mengzhou Li +1
cs.LGcs.AIstat.MLarXiv:2001.02522v42020
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip Pope, Chen Zhu, Ahmed Abdelkader +2
cs.CVcs.LGstat.MLarXiv:2104.08894v12021
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
Andrew Ilyas, Logan Engstrom, Aleksander Madry
stat.MLcs.CRcs.LGarXiv:1807.07978v32018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
Yibo Yang, Paris Perdikaris
stat.MLcs.LGphysics.comp-pharXiv:1811.04026v12018
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
Fabien Ringeval, Björn Schuller, Michel Valstar +14
cs.HCcs.CVcs.IRarXiv:1907.11510v12019
Statistical ranking and combinatorial Hodge theory
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao +1
stat.MLcs.DMarXiv:0811.1067v22008
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers, Nathanael Schärli, Nathan Scales +11
cs.LGcs.CLstat.MLarXiv:1912.09713v22019
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
Motonobu Kanagawa, Philipp Hennig, Dino Sejdinovic +1
stat.MLcs.LGarXiv:1807.02582v12018
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Rodolfo M. Pereira, Diego Bertolini, Lucas O. Teixeira +2
cs.LGstat.MLarXiv:2004.05835v32020
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
Quan Wang, Hannah Muckenhirn, Kevin Wilson +7
eess.AScs.LGeess.SParXiv:1810.04826v62018
Adversarial Personalized Ranking for Recommendation
Xiangnan He, Zhankui He, Xiaoyu Du +1
cs.IRcs.LGstat.MLarXiv:1808.03908v12018
Reinforced Continual Learning
Ju Xu, Zhanxing Zhu
cs.LGcs.CVstat.MLarXiv:1805.12369v12018
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
Pinghua Gong, Changshui Zhang, Zhaosong Lu +2
cs.LGmath.NAstat.COarXiv:1303.4434v12013
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer, Ankesh Anand, Rishab Goel +3
cs.LGstat.MLarXiv:2007.05929v42020
A Finite Sample Analysis for Quantile Temporal Difference Learning in Distributional Reinforcement Learning
Zijie Cheng, Xiang Li, Yang Peng +1
stat.MLcs.LGarXiv:2608.27313v12026
Robust Low-rank Tensor Recovery: Models and Algorithms
Donald Goldfarb, Zhiwei Qin
stat.MLarXiv:1311.6182v12013
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee, Anusha Nagabandi, Pieter Abbeel +1
cs.LGcs.AIstat.MLarXiv:1907.00953v42019
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard, Jakob N. Foerster, Sarath Chandar +12
cs.LGcs.AIstat.MLarXiv:1902.00506v22019
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
Francis Bach, Eric Moulines
cs.LGmath.OCstat.MLarXiv:1306.2119v12013
Universal Approximation with Deep Narrow Networks
Patrick Kidger, Terry Lyons
cs.LGmath.CAstat.MLarXiv:1905.08539v22019
Deep Information Propagation
Samuel S. Schoenholz, Justin Gilmer, Surya Ganguli +1
stat.MLcs.LGarXiv:1611.01232v22016
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife
Stefan Wager, Trevor Hastie, Bradley Efron
stat.MLstat.COstat.MEarXiv:1311.4555v22013
A Study on Overfitting in Deep Reinforcement Learning
Chiyuan Zhang, Oriol Vinyals, Remi Munos +1
cs.LGstat.MLarXiv:1804.06893v22018
De-identification of Patient Notes with Recurrent Neural Networks
Franck Dernoncourt, Ji Young Lee, Ozlem Uzuner +1
cs.CLcs.AIcs.NEarXiv:1606.03475v12016
Summaries:한국어
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis
Zhongkai Sun, Prathusha Sarma, William Sethares +1
cs.LGstat.MLarXiv:1911.05544v22019
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
Aapo Hyvarinen, Hiroaki Sasaki, Richard E. Turner
stat.MLcs.LGarXiv:1805.08651v32018
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi, Joseph Wang, Ofer Dekel +1
cs.LGcs.CVcs.NEarXiv:1702.07811v22017
Hierarchical Block Structures and High-resolution Model Selection in Large Networks
Tiago P. Peixoto
physics.data-ancond-mat.dis-nncond-mat.stat-mecharXiv:1310.4377v62013
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models
Benedek Rozemberczki, Rik Sarkar
cs.LGcs.DMcs.SIarXiv:2005.07959v22020
Summaries:한국어
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
Rafael Figueiredo Prudencio, Marcos R. O. A. Maximo, Esther Luna Colombini
cs.LGcs.AIstat.MLarXiv:2203.01387v32022
FetchSGD: Communication-Efficient Federated Learning with Sketching
Daniel Rothchild, Ashwinee Panda, Enayat Ullah +5
cs.LGstat.MLarXiv:2007.07682v22020
Intrinsic dimension of data representations in deep neural networks
Alessio Ansuini, Alessandro Laio, Jakob H. Macke +1
cs.LGstat.MLarXiv:1905.12784v22019
Task-Free Continual Learning
Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars
cs.CVcs.AIcs.LGarXiv:1812.03596v32018
Machine Learning for Survival Analysis: A Survey
Ping Wang, Yan Li, Chandan K. Reddy
cs.LGstat.MLarXiv:1708.04649v12017
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Woong-Gi Chang, Tackgeun You, Seonguk Seo +2
cs.LGcs.AIstat.MLarXiv:1906.03950v12019
Randomized Prior Functions for Deep Reinforcement Learning
Ian Osband, John Aslanides, Albin Cassirer
stat.MLcs.AIcs.LGarXiv:1806.03335v22018
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Byungsoo Kim, Vinicius C. Azevedo, Nils Thuerey +3
cs.LGcs.GRphysics.comp-pharXiv:1806.02071v22018
Large image datasets: A pyrrhic win for computer vision?
Vinay Uday Prabhu, Abeba Birhane
cs.CYstat.APstat.MLarXiv:2006.16923v22020
Personalized Federated Learning with First Order Model Optimization
Michael Zhang, Karan Sapra, Sanja Fidler +2
cs.LGcs.DCstat.MLarXiv:2012.08565v42020
Scalable Gradients for Stochastic Differential Equations
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen +1
cs.LGmath.NAstat.MLarXiv:2001.01328v62020
Mesh-TensorFlow: Deep Learning for Supercomputers
Noam Shazeer, Youlong Cheng, Niki Parmar +9
cs.LGcs.DCstat.MLarXiv:1811.02084v12018
Neural Importance Sampling
Thomas Müller, Brian McWilliams, Fabrice Rousselle +2
cs.LGcs.GRstat.MLarXiv:1808.03856v52018
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch
Roberto Calandra, Andrew Owens, Dinesh Jayaraman +5
cs.ROcs.LGstat.MLarXiv:1805.11085v22018
Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
cs.LGcs.AIstat.MLarXiv:1910.07207v22019
Pruning Convolutional Neural Networks for Resource Efficient Inference
Pavlo Molchanov, Stephen Tyree, Tero Karras +2
cs.LGstat.MLarXiv:1611.06440v22016
Online Learning with Predictable Sequences
Alexander Rakhlin, Karthik Sridharan
stat.MLcs.LGarXiv:1208.3728v22012
Scaling Graph Neural Networks with Approximate PageRank
Aleksandar Bojchevski, Johannes Gasteiger, Bryan Perozzi +5
cs.LGcs.SIstat.MLarXiv:2007.01570v22020
On the approximation of posterior laws in compound loss models by conditional Wasserstein GANs
Aleksandar Arandjelovic, Pavel V. Shevchenko, George Tzougas
q-fin.RMstat.MLarXiv:2608.27229v12026
Competence-based Curriculum Learning for Neural Machine Translation
Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig +2
cs.CLcs.LGstat.MLarXiv:1903.09848v22019

Machine Learning (stat)

Optimal Best Arm Identification with Fixed Confidence

Active Diffusion-Based Inference for Ill-Posed Inverse Problems under Incomplete Priors

Adversarial Training and Robustness for Multiple Perturbations

Understanding Measures of Uncertainty for Adversarial Example Detection

The Benefit of Multitask Representation Learning

ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks

TRACE-CRC: Trajectory-Adaptive Conformal Risk Control for Multi-Step Channel State Information Prediction

GANSynth: Adversarial Neural Audio Synthesis

Learning graphs from data: A signal representation perspective

Continual learning with hypernetworks

Recovering Expert Critic-Sourced Network Adjacency between Musical Artists from Acoustic Distributions: A Construct-Validity Approach

On Interpretability of Artificial Neural Networks: A Survey

The Intrinsic Dimension of Images and Its Impact on Learning

Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors

Adversarial Uncertainty Quantification in Physics-Informed Neural Networks

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Statistical ranking and combinatorial Hodge theory

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

Adversarial Personalized Ranking for Recommendation

Reinforced Continual Learning

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems

Data-Efficient Reinforcement Learning with Self-Predictive Representations

A Finite Sample Analysis for Quantile Temporal Difference Learning in Distributional Reinforcement Learning

Robust Low-rank Tensor Recovery: Models and Algorithms

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

The Hanabi Challenge: A New Frontier for AI Research

Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)

Universal Approximation with Deep Narrow Networks

Deep Information Propagation

Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife

A Study on Overfitting in Deep Reinforcement Learning

De-identification of Patient Notes with Recurrent Neural Networks

Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis

Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning

Adaptive Neural Networks for Efficient Inference

Hierarchical Block Structures and High-resolution Model Selection in Large Networks

Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems

FetchSGD: Communication-Efficient Federated Learning with Sketching

Intrinsic dimension of data representations in deep neural networks

Task-Free Continual Learning

Machine Learning for Survival Analysis: A Survey

Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

Randomized Prior Functions for Deep Reinforcement Learning

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

Large image datasets: A pyrrhic win for computer vision?

Personalized Federated Learning with First Order Model Optimization

Scalable Gradients for Stochastic Differential Equations

Mesh-TensorFlow: Deep Learning for Supercomputers

Neural Importance Sampling

More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

Soft Actor-Critic for Discrete Action Settings

Pruning Convolutional Neural Networks for Resource Efficient Inference

Online Learning with Predictable Sequences

Scaling Graph Neural Networks with Approximate PageRank

On the approximation of posterior laws in compound loss models by conditional Wasserstein GANs

Competence-based Curriculum Learning for Neural Machine Translation