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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4,261 to 4,320 of 6,786

Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
Cun Mu, Bo Huang, John Wright +1
stat.MLcs.LGarXiv:1307.5870v22013
Deep learning for smart fish farming: applications, opportunities and challenges
Xinting Yang, Song Zhang, Jintao Liu +3
cs.CVcs.LGeess.IVarXiv:2004.11848v22020
Free-Probability Kernels for Zero-Rollout Hyperparameter Selection in Reservoir Computing
Sara Malacarne, Andrea Ceni, Claudio Gallicchio
cs.LGcs.NEstat.MLarXiv:2608.20998v12026
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit +2
cs.LGcs.IRcs.SEarXiv:1909.09436v32019
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems
Liwei Wang, Yu-Chin Chan, Faez Ahmed +3
cs.CEcs.LGstat.MLarXiv:2006.15274v22020
Model-Based Reinforcement Learning with Value-Targeted Regression
Alex Ayoub, Zeyu Jia, Csaba Szepesvari +2
cs.LGstat.MLarXiv:2006.01107v12020
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios, David C. Sterratt, Iain Murray
stat.MLcs.LGarXiv:1805.07226v22018
On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions
Francis Bach
cs.LGmath.NAstat.MLarXiv:1502.06800v22015
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob, Skirmantas Kligys, Bo Chen +5
cs.LGstat.MLarXiv:1712.05877v12017
Imitating Human Behaviour with Diffusion Models
Tim Pearce, Tabish Rashid, Anssi Kanervisto +8
cs.AIcs.LGstat.MLarXiv:2301.10677v22023
Polynomial-Chaos-based Kriging
R. Schoebi, B. Sudret, J. Wiart
stat.COstat.MEstat.MLarXiv:1502.03939v12015
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
Zhiguang Wang, Weizhong Yan, Tim Oates
cs.LGcs.NEstat.MLarXiv:1611.06455v42016
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Chen Zhu, W. Ronny Huang, Ali Shafahi +4
stat.MLcs.CRcs.LGarXiv:1905.05897v22019
Scalable Object Detection using Deep Neural Networks
Dumitru Erhan, Christian Szegedy, Alexander Toshev +1
cs.CVstat.MLarXiv:1312.2249v12013
Nuclear norm penalization and optimal rates for noisy low rank matrix completion
Vladimir Koltchinskii, Alexandre B. Tsybakov, Karim Lounici
math.STstat.MLarXiv:1011.6256v42010
Influence Functions in Deep Learning Are Fragile
Samyadeep Basu, Philip Pope, Soheil Feizi
cs.LGstat.MLarXiv:2006.14651v22020
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
Dan Li, Dacheng Chen, Jonathan Goh +1
cs.LGstat.MLarXiv:1809.04758v32018
A bagging SVM to learn from positive and unlabeled examples
Fantine Mordelet, Jean-Philippe Vert
stat.MLarXiv:1010.0772v12010
Multi-relational Poincaré Graph Embeddings
Ivana Balažević, Carl Allen, Timothy Hospedales
cs.LGstat.MLarXiv:1905.09791v32019
Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel
Tai Qin, Karl Rohe
stat.MLcs.LGmath.STarXiv:1309.4111v12013
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Amanpreet Singh, Tushar Jain, Sainbayar Sukhbaatar
cs.LGcs.AIcs.MAarXiv:1812.09755v12018
Adaptive Attention Span in Transformers
Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski +1
cs.LGstat.MLarXiv:1905.07799v22019
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
Dani Kiyasseh, Tingting Zhu, David A. Clifton
cs.LGeess.SPstat.MLarXiv:2005.13249v32020
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu, Dixin Luo, Hongyuan Zha +1
cs.LGcs.SIstat.MLarXiv:1901.06003v22019
An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback
Ohad Shamir
cs.LGmath.OCstat.MLarXiv:1507.08752v12015
Large Language Models as Tool Makers
Tianle Cai, Xuezhi Wang, Tengyu Ma +2
cs.LGcs.AIcs.CLarXiv:2305.17126v22023
Zero-Shot Visual Imitation
Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo +7
cs.LGcs.AIcs.CVarXiv:1804.08606v12018
Dataset Meta-Learning from Kernel Ridge-Regression
Timothy Nguyen, Zhourong Chen, Jaehoon Lee
cs.LGstat.MLarXiv:2011.00050v32020
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors
Patrick Breheny, Jian Huang
stat.COstat.MLarXiv:1209.2160v22012
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann, Tor Lattimore, Emma Brunskill
cs.LGcs.AIstat.MLarXiv:1703.07710v32017
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit
Song Mei, Theodor Misiakiewicz, Andrea Montanari
stat.MLcond-mat.stat-mechcs.LGarXiv:1902.06015v12019
When Machine Unlearning Jeopardizes Privacy
Min Chen, Zhikun Zhang, Tianhao Wang +3
cs.CRcs.LGstat.MLarXiv:2005.02205v22020
Evolutionary Generative Adversarial Networks
Chaoyue Wang, Chang Xu, Xin Yao +1
cs.LGcs.NEstat.MLarXiv:1803.00657v12018
Conformal Risk Control
Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch +2
stat.MEcs.AIcs.LGarXiv:2208.02814v42022
Deep Neural Networks for Anatomical Brain Segmentation
Alexandre de Brebisson, Giovanni Montana
cs.CVcs.LGstat.AParXiv:1502.02445v22015
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi +2
stat.MLcs.LGarXiv:1803.05598v22018
Analysing Affective Behavior in the First ABAW 2020 Competition
Dimitrios Kollias, Attila Schulc, Elnar Hajiyev +1
cs.LGstat.MLarXiv:2001.11409v22020
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
Renjie Wu, Eamonn J. Keogh
cs.LGstat.MLarXiv:2009.13807v52020
Music Source Separation in the Waveform Domain
Alexandre Défossez, Nicolas Usunier, Léon Bottou +1
cs.SDcs.LGeess.ASarXiv:1911.13254v22019
Inferring land use from mobile phone activity
Jameson L. Toole, Michael Ulm, Dietmar Bauer +1
stat.MLcs.LGphysics.data-anarXiv:1207.1115v12012
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
Wengong Jin, Connor W. Coley, Regina Barzilay +1
cs.LGcs.AIstat.MLarXiv:1709.04555v32017
Full-Capacity Unitary Recurrent Neural Networks
Scott Wisdom, Thomas Powers, John R. Hershey +2
stat.MLcs.LGcs.NEarXiv:1611.00035v12016
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang, Prakhar Srivastava, Stephan Mandt
cs.CVcs.LGstat.MLarXiv:2203.09481v52022
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl +4
cs.LGstat.MLarXiv:1910.08348v22019
SpectralNet: Spectral Clustering using Deep Neural Networks
Uri Shaham, Kelly Stanton, Henry Li +3
stat.MLcs.LGarXiv:1801.01587v62018
Adversarial Robustness through Local Linearization
Chongli Qin, James Martens, Sven Gowal +6
stat.MLcs.LGarXiv:1907.02610v22019
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li, Shuo Chen, Xiaolin Hu +1
cs.LGstat.MLarXiv:1801.05134v12018
Adversarial Active Learning for Deep Networks: a Margin Based Approach
Melanie Ducoffe, Frederic Precioso
cs.LGcs.CVstat.MLarXiv:1802.09841v12018
Byzantine-Resilient Secure Federated Learning
Jinhyun So, Basak Guler, A. Salman Avestimehr
cs.CRcs.DCcs.LGarXiv:2007.11115v22020
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen, Georgios B. Giannakis, Tao Sun +1
stat.MLcs.DCcs.LGarXiv:1805.09965v22018
Disentangling Adversarial Robustness and Generalization
David Stutz, Matthias Hein, Bernt Schiele
cs.CVcs.CRcs.LGarXiv:1812.00740v22018
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon, Wonyong Jeong, Giwoong Lee +2
cs.LGstat.MLarXiv:2003.03196v52020
Knowledge Graph Completion via Complex Tensor Factorization
Théo Trouillon, Christopher R. Dance, Johannes Welbl +3
cs.AIcs.LGmath.SParXiv:1702.06879v22017
Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification
Shuangjie Xu, Yu Cheng, Kang Gu +3
cs.CVcs.LGstat.MLarXiv:1708.02286v22017
Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks
Orestis Tsinalis, Paul M. Matthews, Yike Guo +1
stat.MLcs.LGarXiv:1610.01683v12016
Deep Learning in Mining Biological Data
Mufti Mahmud, M Shamim Kaiser, Amir Hussain
q-bio.QMcs.LGstat.MLarXiv:2003.00108v12020
Identifying and Correcting Label Bias in Machine Learning
Heinrich Jiang, Ofir Nachum
cs.LGcs.AIstat.MLarXiv:1901.04966v12019
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
math.OCcs.LGstat.MLarXiv:1402.4419v32014
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets
Jakob Runge
stat.MEcs.LGstat.MLarXiv:2003.03685v22020
Recovering the number of clusters in data sets with noise features using feature rescaling factors
Renato Cordeiro de Amorim, Christian Hennig
stat.MLcs.LGarXiv:1602.06989v12016

Machine Learning (stat)

Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery

Deep learning for smart fish farming: applications, opportunities and challenges

Free-Probability Kernels for Zero-Rollout Hyperparameter Selection in Reservoir Computing

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems

Model-Based Reinforcement Learning with Value-Targeted Regression

Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Imitating Human Behaviour with Diffusion Models

Polynomial-Chaos-based Kriging

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

Transferable Clean-Label Poisoning Attacks on Deep Neural Nets

Scalable Object Detection using Deep Neural Networks

Nuclear norm penalization and optimal rates for noisy low rank matrix completion

Influence Functions in Deep Learning Are Fragile

Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series

A bagging SVM to learn from positive and unlabeled examples

Multi-relational Poincaré Graph Embeddings

Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel

Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

Adaptive Attention Span in Transformers

CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients

Gromov-Wasserstein Learning for Graph Matching and Node Embedding

An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback

Large Language Models as Tool Makers

Zero-Shot Visual Imitation

Dataset Meta-Learning from Kernel Ridge-Regression

Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors

Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning

Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit

When Machine Unlearning Jeopardizes Privacy

Evolutionary Generative Adversarial Networks

Conformal Risk Control

Deep Neural Networks for Anatomical Brain Segmentation

Large Margin Deep Networks for Classification

Analysing Affective Behavior in the First ABAW 2020 Competition

Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress

Music Source Separation in the Waveform Domain

Inferring land use from mobile phone activity

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network

Full-Capacity Unitary Recurrent Neural Networks

Diffusion Probabilistic Modeling for Video Generation

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

SpectralNet: Spectral Clustering using Deep Neural Networks

Adversarial Robustness through Local Linearization

Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift

Adversarial Active Learning for Deep Networks: a Margin Based Approach

Byzantine-Resilient Secure Federated Learning

LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning

Disentangling Adversarial Robustness and Generalization

Federated Continual Learning with Weighted Inter-client Transfer

Knowledge Graph Completion via Complex Tensor Factorization

Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification

Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks

Deep Learning in Mining Biological Data

Identifying and Correcting Label Bias in Machine Learning

Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning

Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets

Recovering the number of clusters in data sets with noise features using feature rescaling factors