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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841 to 900 of 6,772

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems
Yulong Cao, Chaowei Xiao, Dawei Yang +4
cs.CRcs.CVcs.LGarXiv:1907.05418v12019
Recovering Weak Signals with Normalizing Flows
Sarod Yatawatta
stat.MLastro-ph.COastro-ph.IMarXiv:2609.06382v12026
Exploring Model-based Planning with Policy Networks
Tingwu Wang, Jimmy Ba
cs.LGcs.AIcs.ROarXiv:1906.08649v12019
Hyperspherical Prototype Networks
Pascal Mettes, Elise van der Pol, Cees G. M. Snoek
cs.LGstat.MLarXiv:1901.10514v32019
Matérn Gaussian processes on Riemannian manifolds
Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky +1
stat.MLcs.LGarXiv:2006.10160v62020
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
cs.LGcs.CRstat.MLarXiv:1903.07054v22019
Stable Learning via Sample Reweighting
Zheyan Shen, Peng Cui, Tong Zhang +1
cs.LGstat.MLarXiv:1911.12580v12019
Non-Autoregressive Machine Translation with Auxiliary Regularization
Yiren Wang, Fei Tian, Di He +3
cs.CLcs.LGstat.MLarXiv:1902.10245v12019
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications
Fanhua Shang, James Cheng, Yuanyuan Liu +2
cs.LGcs.CVmath.OCarXiv:1810.05186v12018
Summaries:한국어
Message Passing for Hyper-Relational Knowledge Graphs
Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari +2
cs.LGcs.AIcs.CLarXiv:2009.10847v12020
Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm
Saeed Samadianfard, Sajjad Hashemi, Katayoun Kargar +5
cs.LGstat.MLarXiv:2002.06226v12020
Understanding Machine-learned Density Functionals
Li Li, John C. Snyder, Isabelle M. Pelaschier +6
physics.chem-phcs.LGphysics.comp-pharXiv:1404.1333v22014
A Generalization of Amari's Bayesian Duality
Mohammad Emtiyaz Khan, Thomas Möllenhoff
cs.AIcs.LGstat.MLarXiv:2609.09126v12026
Toxicity Prediction using Deep Learning
Thomas Unterthiner, Andreas Mayr, Günter Klambauer +1
stat.MLcs.LGcs.NEarXiv:1503.01445v12015
A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate
Ohad Shamir
cs.LGmath.NAmath.OCarXiv:1409.2848v52014
Pre-training via Paraphrasing
Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh +3
cs.CLcs.LGstat.MLarXiv:2006.15020v12020
Generalized Beta Mixtures of Gaussians
Artin Armagan, David B. Dunson, Merlise Clyde
stat.MEstat.MLarXiv:1107.4976v22011
Deep Gaussian Mixture Models
Cinzia Viroli, Geoffrey J. McLachlan
stat.MLcs.LGarXiv:1711.06929v12017
Protein sequence design with deep generative models
Zachary Wu, Kadina E. Johnston, Frances H. Arnold +1
q-bio.QMcs.LGq-bio.BMarXiv:2104.04457v12021
One-bit compressive sensing with norm estimation
Karin Knudson, Rayan Saab, Rachel Ward
stat.MLmath.NAmath.OCarXiv:1404.6853v32014
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Deepak Pathak, Chris Lu, Trevor Darrell +2
cs.LGcs.AIcs.CVarXiv:1902.05546v22019
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression
Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi +2
stat.MLcs.CVcs.LGarXiv:1312.6965v12013
Manifold learning: what, how, and why
Marina Meilă, Hanyu Zhang
stat.MLcs.LGarXiv:2311.03757v12023
Machine Unlearning via Algorithmic Stability
Enayat Ullah, Tung Mai, Anup Rao +2
cs.LGstat.MLarXiv:2102.13179v12021
A Survey of Code-switched Speech and Language Processing
Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi +1
cs.CLcs.LGstat.MLarXiv:1904.00784v32019
Evaluating Overfit and Underfit in Models of Network Community Structure
Amir Ghasemian, Homa Hosseinmardi, Aaron Clauset
stat.MLcs.SIphysics.data-anarXiv:1802.10582v32018
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
Byung-Hoon Kim, Jong Chul Ye
cs.CVcs.LGstat.MLarXiv:2001.03690v22020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Yaxin Li, Wei Jin, Han Xu +1
cs.LGcs.CRstat.MLarXiv:2005.06149v12020
Spectral Perturbation Meets Incomplete Multi-view Data
Hao Wang, Linlin Zong, Bing Liu +2
cs.LGcs.AIstat.MLarXiv:1906.00098v12019
Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches
Raphael Korbmacher, Antoine Tordeux
cs.LGphysics.soc-phstat.MLarXiv:2111.06740v22021
On Gradient-Based Learning in Continuous Games
Eric Mazumdar, Lillian J. Ratliff, S. Shankar Sastry
cs.LGstat.MLarXiv:1804.05464v32018
Deep Convolutional Neural Networks for Massive MIMO Fingerprint-Based Positioning
Joao Vieira, Erik Leitinger, Muris Sarajlic +2
stat.MLcs.ITarXiv:1708.06235v12017
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
Stephen R. Pfohl, Agata Foryciarz, Nigam H. Shah
stat.MLcs.CYcs.LGarXiv:2007.10306v32020
Orthogonal Deep Neural Networks
Kui Jia, Shuai Li, Yuxin Wen +2
cs.LGcs.CVstat.MLarXiv:1905.05929v22019
Structured Evolution with Compact Architectures for Scalable Policy Optimization
Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani +2
cs.LGcs.ROstat.MLarXiv:1804.02395v22018
Learn to Combine Modalities in Multimodal Deep Learning
Kuan Liu, Yanen Li, Ning Xu +1
stat.MLcs.AIcs.LGarXiv:1805.11730v12018
Low-Rank Matrix and Tensor Completion via Adaptive Sampling
Akshay Krishnamurthy, Aarti Singh
stat.MLarXiv:1304.4672v32013
On Feature Normalization and Data Augmentation
Boyi Li, Felix Wu, Ser-Nam Lim +2
cs.LGcs.CLcs.CVarXiv:2002.11102v32020
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Haowei He, Gao Huang, Yang Yuan
cs.LGstat.MLarXiv:1902.00744v22019
A Step Toward Quantifying Independently Reproducible Machine Learning Research
Edward Raff
cs.LGcs.AIcs.DLarXiv:1909.06674v12019
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
Aviral Kumar, Rishabh Agarwal, Dibya Ghosh +1
cs.LGstat.MLarXiv:2010.14498v22020
FairBatch: Batch Selection for Model Fairness
Yuji Roh, Kangwook Lee, Steven Euijong Whang +1
cs.LGcs.AIstat.MLarXiv:2012.01696v22020
Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning
Daniel J. Luckett, Eric B. Laber, Anna R. Kahkoska +3
stat.MLarXiv:1611.03531v22016
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Yaqi Duan, Mengdi Wang
cs.LGmath.STstat.MLarXiv:2002.09516v12020
Robust Inference via Generative Classifiers for Handling Noisy Labels
Kimin Lee, Sukmin Yun, Kibok Lee +3
stat.MLcs.LGarXiv:1901.11300v22019
The Bayesian Bridge
Nicholas G. Polson, James G. Scott, Jesse Windle
stat.MEstat.COstat.MLarXiv:1109.2279v22011
NeuroQuery: comprehensive meta-analysis of human brain mapping
Jérôme Dockès, Russell Poldrack, Romain Primet +5
q-bio.QMstat.MLarXiv:2002.09261v12020
Auto-Encoding Sequential Monte Carlo
Tuan Anh Le, Maximilian Igl, Tom Rainforth +2
stat.MLarXiv:1705.10306v22017
Robust Synthetic Control
Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen
econ.EMstat.APstat.MLarXiv:1711.06940v12017
Image Synthesis From Reconfigurable Layout and Style
Wei Sun, Tianfu Wu
cs.CVstat.MLarXiv:1908.07500v12019
A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm
Chi Jin, Praneeth Netrapalli, Rong Ge +2
math.PRcs.LGstat.MLarXiv:1902.03736v12019
Trellis Networks for Sequence Modeling
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
cs.LGcs.AIcs.CLarXiv:1810.06682v22018
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
One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context
Skanda Athreya, Yutong Wang
cs.LGstat.MLarXiv:2609.01311v12026
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets
Sofia Triantafillou, Ioannis Tsamardinos
stat.MLcs.AIarXiv:1403.2150v12014
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
Angelos Chatzimparmpas, Rafael M. Martins, Andreas Kerren
cs.LGcs.HCstat.MLarXiv:2002.06910v52020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
Zhongkai Hao, Chengqiang Lu, Zheyuan Hu +5
cs.LGstat.MLarXiv:2007.03196v12020
Generating and designing DNA with deep generative models
Nathan Killoran, Leo J. Lee, Andrew Delong +2
cs.LGq-bio.GNstat.MLarXiv:1712.06148v12017
Review of Deep Learning
Rong Zhang, Weiping Li, Tong Mo
cs.LGcs.CVcs.NEarXiv:1804.01653v22018
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
Roger Frigola, Fredrik Lindsten, Thomas B. Schön +1
stat.MLcs.LGeess.SYarXiv:1306.2861v22013

Machine Learning (stat)

Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

Recovering Weak Signals with Normalizing Flows

Exploring Model-based Planning with Policy Networks

Hyperspherical Prototype Networks

Matérn Gaussian processes on Riemannian manifolds

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Stable Learning via Sample Reweighting

Non-Autoregressive Machine Translation with Auxiliary Regularization

Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications

Message Passing for Hyper-Relational Knowledge Graphs

Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm

Understanding Machine-learned Density Functionals

A Generalization of Amari's Bayesian Duality

Toxicity Prediction using Deep Learning

A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate

Pre-training via Paraphrasing

Generalized Beta Mixtures of Gaussians

Deep Gaussian Mixture Models

Protein sequence design with deep generative models

One-bit compressive sensing with norm estimation

Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity

An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression

Manifold learning: what, how, and why

Machine Unlearning via Algorithmic Stability

A Survey of Code-switched Speech and Language Processing

Evaluating Overfit and Underfit in Models of Network Community Structure

Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis

DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses

Spectral Perturbation Meets Incomplete Multi-view Data

Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches

On Gradient-Based Learning in Continuous Games

Deep Convolutional Neural Networks for Massive MIMO Fingerprint-Based Positioning

An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction

Orthogonal Deep Neural Networks

Structured Evolution with Compact Architectures for Scalable Policy Optimization

Learn to Combine Modalities in Multimodal Deep Learning

Low-Rank Matrix and Tensor Completion via Adaptive Sampling

On Feature Normalization and Data Augmentation

Asymmetric Valleys: Beyond Sharp and Flat Local Minima

A Step Toward Quantifying Independently Reproducible Machine Learning Research

Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning

FairBatch: Batch Selection for Model Fairness

Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning

Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation

Robust Inference via Generative Classifiers for Handling Noisy Labels

The Bayesian Bridge

NeuroQuery: comprehensive meta-analysis of human brain mapping

Auto-Encoding Sequential Monte Carlo

Robust Synthetic Control

Image Synthesis From Reconfigurable Layout and Style

A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm

Trellis Networks for Sequence Modeling

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

One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context

Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets

t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections

ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction

Generating and designing DNA with deep generative models

Review of Deep Learning

Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC