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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2,581 to 2,640 of 6,790

Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
Santiago Silva, Boris Gutman, Eduardo Romero +3
stat.MLcs.LGq-bio.NCarXiv:1810.08553v42018
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations
Qianxiao Li, Cheng Tai, Weinan E
cs.LGstat.MLarXiv:1811.01558v12018
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
Kevin Bello, Bryon Aragam, Pradeep Ravikumar
cs.LGstat.MEstat.MLarXiv:2209.08037v32022
Gradient Boosted Feature Selection
Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger +1
cs.LGstat.MLarXiv:1901.04055v12019
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices
Xiaolong Ma, Fu-Ming Guo, Wei Niu +5
cs.LGcs.CVcs.DCarXiv:1909.05073v42019
Acquisition of Chess Knowledge in AlphaZero
Thomas McGrath, Andrei Kapishnikov, Nenad Tomašev +5
cs.AIstat.MLarXiv:2111.09259v32021
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Ning Liu, Xiaolong Ma, Zhiyuan Xu +3
cs.LGcs.AIcs.CVarXiv:1907.03141v22019
End-to-End Learning of Communications Systems Without a Channel Model
Fayçal Ait Aoudia, Jakob Hoydis
cs.ITcs.AIstat.MLarXiv:1804.02276v32018
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality
Pablo Montero-Manso, Rob J Hyndman
cs.LGstat.MLarXiv:2008.00444v32020
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data
Andrew L. Beam, Benjamin Kompa, Allen Schmaltz +6
cs.CLcs.AIstat.MLarXiv:1804.01486v32018
Aesthetic-based Clothing Recommendation
Wenhui Yu, Huidi Zhang, Xiangnan He +3
cs.IRcs.LGstat.MLarXiv:1809.05822v12018
Noisy Sparse Subspace Clustering
Yu-Xiang Wang, Huan Xu
stat.MLarXiv:1309.1233v22013
Learning Independent Causal Mechanisms
Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla +1
cs.LGstat.MLarXiv:1712.00961v52017
The Early Phase of Neural Network Training
Jonathan Frankle, David J. Schwab, Ari S. Morcos
cs.LGcs.NEstat.MLarXiv:2002.10365v12020
Minimax Weight and Q-Function Learning for Off-Policy Evaluation
Masatoshi Uehara, Jiawei Huang, Nan Jiang
cs.LGstat.MLarXiv:1910.12809v42019
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
Yizhu Jiao, Yun Xiong, Jiawei Zhang +3
cs.LGstat.MLarXiv:2009.10273v32020
The Break-Even Point on Optimization Trajectories of Deep Neural Networks
Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort +4
cs.LGstat.MLarXiv:2002.09572v12020
Sampling Can Be Faster Than Optimization
Yi-An Ma, Yuansi Chen, Chi Jin +2
stat.MLcs.LGarXiv:1811.08413v22018
Pointwise Majorization for sub-Weibull and Mixed Tail Processes with Applications in Quadratic Chaos and Ergodic Diffusions
Haichen Hu, David Simchi-Levi
math.PRmath.STstat.MLarXiv:2609.01576v12026
Graph Information Bottleneck for Subgraph Recognition
Junchi Yu, Tingyang Xu, Yu Rong +3
cs.LGstat.MLarXiv:2010.05563v12020
Greedy Sparsity-Constrained Optimization
Sohail Bahmani, Bhiksha Raj, Petros Boufounos
stat.MLmath.NAmath.OCarXiv:1203.5483v32012
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models
Michael Oberst, David Sontag
cs.LGstat.MLarXiv:1905.05824v32019
Entropy and mutual information in models of deep neural networks
Marylou Gabrié, Andre Manoel, Clément Luneau +4
cs.LGcond-mat.dis-nncs.ITarXiv:1805.09785v22018
Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations
Klemen Grm, Vitomir Štruc, Anais Artiges +2
stat.MLarXiv:1710.01494v12017
Big Data Meet Cyber-Physical Systems: A Panoramic Survey
Rachad Atat, Lingjia Liu, Jinsong Wu +3
cs.LGstat.MLarXiv:1810.12399v12018
Deep Learning for Human Affect Recognition: Insights and New Developments
Philipp V. Rouast, Marc T. P. Adam, Raymond Chiong
cs.LGcs.AIcs.CVarXiv:1901.02884v12019
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Samuel Ritter, David G. T. Barrett, Adam Santoro +1
stat.MLcs.CVcs.LGarXiv:1706.08606v22017
False Discoveries Occur Early on the Lasso Path
Weijie Su, Malgorzata Bogdan, Emmanuel Candes
math.STcs.ITstat.MLarXiv:1511.01957v42015
A Simple Exponential Family Framework for Zero-Shot Learning
Vinay Kumar Verma, Piyush Rai
cs.LGcs.CVstat.MLarXiv:1707.08040v32017
The Ingredients of Real-World Robotic Reinforcement Learning
Henry Zhu, Justin Yu, Abhishek Gupta +5
cs.LGcs.ROstat.MLarXiv:2004.12570v12020
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
José Miguel Hernández-Lobato, James Requeima, Edward O. Pyzer-Knapp +1
stat.MLarXiv:1706.01825v12017
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC
Rongfei Zeng, Shixun Zhang, Jiaqi Wang +1
cs.LGcs.GTstat.MLarXiv:2002.09699v12020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
Haoran Zhang, Amy X. Lu, Mohamed Abdalla +2
cs.CLcs.CYcs.LGarXiv:2003.11515v12020
Generative Image Modeling Using Spatial LSTMs
Lucas Theis, Matthias Bethge
stat.MLcs.CVcs.LGarXiv:1506.03478v22015
Distributed Learning with Compressed Gradient Differences
Konstantin Mishchenko, Eduard Gorbunov, Martin Takáč +1
cs.LGmath.OCstat.MLarXiv:1901.09269v32019
Model-based Reinforcement Learning and the Eluder Dimension
Ian Osband, Benjamin Van Roy
stat.MLcs.LGarXiv:1406.1853v22014
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Motoki Sato, Jun Suzuki, Hiroyuki Shindo +1
cs.LGcs.CLstat.MLarXiv:1805.02917v12018
Non-Local Graph Neural Networks
Meng Liu, Zhengyang Wang, Shuiwang Ji
cs.LGstat.MLarXiv:2005.14612v22020
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma, Xiaorui Liu, Tong Zhao +3
cs.LGstat.MLarXiv:2010.01777v22020
Self-paced Ensemble for Highly Imbalanced Massive Data Classification
Zhining Liu, Wei Cao, Zhifeng Gao +4
cs.LGcs.AIstat.MLarXiv:1909.03500v32019
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras, Thibault Séjourné, Nicolas Courty +1
cs.LGmath.STstat.MLarXiv:2103.03606v12021
Estimation of low-rank tensors via convex optimization
Ryota Tomioka, Kohei Hayashi, Hisashi Kashima
stat.MLmath.NAarXiv:1010.0789v22010
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
Ji Wang, Jianguo Zhang, Weidong Bao +3
cs.LGcs.AIcs.DCarXiv:1809.03428v32018
An Intuitive Tutorial to Gaussian Process Regression
Jie Wang
stat.MLcs.LGcs.ROarXiv:2009.10862v52020
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
Joseph Gomes, Bharath Ramsundar, Evan N. Feinberg +1
cs.LGphysics.chem-phstat.MLarXiv:1703.10603v12017
Privacy Amplification by Iteration
Vitaly Feldman, Ilya Mironov, Kunal Talwar +1
cs.LGcs.CRcs.DSarXiv:1808.06651v22018
Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures
Yashar Kiarashinejad, Sajjad Abdollahramezani, Ali Adibi
cs.LGphysics.app-phstat.MLarXiv:1902.03865v32019
Deep Learning for Post-Processing Ensemble Weather Forecasts
Peter Grönquist, Chengyuan Yao, Tal Ben-Nun +4
cs.LGeess.SPphysics.ao-pharXiv:2005.08748v22020
Deep Learning for Launching and Mitigating Wireless Jamming Attacks
Tugba Erpek, Yalin E. Sagduyu, Yi Shi
cs.NIcs.LGstat.MLarXiv:1807.02567v22018
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos +2
cs.LGcs.AIcs.NEarXiv:1809.02721v32018
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild, Micah Goldblum, Arjun Gupta +2
cs.LGcs.CRcs.CVarXiv:2006.12557v32020
Continuous Graph Neural Networks
Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
cs.LGstat.MLarXiv:1912.00967v32019
Streaming automatic speech recognition with the transformer model
Niko Moritz, Takaaki Hori, Jonathan Le Roux
cs.SDcs.CLcs.LGarXiv:2001.02674v52020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang, Robin Walters, Rose Yu
cs.LGmath.RTstat.MLarXiv:2002.03061v42020
Neural operators approximate strongly continuous convex monotone semigroups
Jonas Blessing, Philipp Schmocker, Alessandro Sgarabottolo
math.NAcs.LGmath.AParXiv:2609.02727v12026
Sparse Graph Attention Networks
Yang Ye, Shihao Ji
cs.LGstat.MLarXiv:1912.00552v22019
The Riemannian Geometry of Deep Generative Models
Hang Shao, Abhishek Kumar, P. Thomas Fletcher
cs.LGcs.CVstat.MLarXiv:1711.08014v12017
Learning values across many orders of magnitude
Hado van Hasselt, Arthur Guez, Matteo Hessel +2
cs.LGcs.AIcs.NEarXiv:1602.07714v22016
Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati, Jakub Tomczak, Tijmen Blankevoort +3
cs.CVcs.LGstat.MLarXiv:2004.00070v12020
Bayesian Recurrent Neural Networks
Meire Fortunato, Charles Blundell, Oriol Vinyals
cs.LGstat.MLarXiv:1704.02798v42017

Machine Learning (stat)

Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data

Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations

DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization

Gradient Boosted Feature Selection

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices

Acquisition of Chess Knowledge in AlphaZero

AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

End-to-End Learning of Communications Systems Without a Channel Model

Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data

Aesthetic-based Clothing Recommendation

Noisy Sparse Subspace Clustering

Learning Independent Causal Mechanisms

The Early Phase of Neural Network Training

Minimax Weight and Q-Function Learning for Off-Policy Evaluation

Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning

The Break-Even Point on Optimization Trajectories of Deep Neural Networks

Sampling Can Be Faster Than Optimization

Pointwise Majorization for sub-Weibull and Mixed Tail Processes with Applications in Quadratic Chaos and Ergodic Diffusions

Graph Information Bottleneck for Subgraph Recognition

Greedy Sparsity-Constrained Optimization

Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models

Entropy and mutual information in models of deep neural networks

Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations

Big Data Meet Cyber-Physical Systems: A Panoramic Survey

Deep Learning for Human Affect Recognition: Insights and New Developments

Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study

False Discoveries Occur Early on the Lasso Path

A Simple Exponential Family Framework for Zero-Shot Learning

The Ingredients of Real-World Robotic Reinforcement Learning

Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space

FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC

Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings

Generative Image Modeling Using Spatial LSTMs

Distributed Learning with Compressed Gradient Differences

Model-based Reinforcement Learning and the Eluder Dimension

Interpretable Adversarial Perturbation in Input Embedding Space for Text

Non-Local Graph Neural Networks

A Unified View on Graph Neural Networks as Graph Signal Denoising

Self-paced Ensemble for Highly Imbalanced Massive Data Classification

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation

Estimation of low-rank tensors via convex optimization

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

An Intuitive Tutorial to Gaussian Process Regression

Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

Privacy Amplification by Iteration

Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures

Deep Learning for Post-Processing Ensemble Weather Forecasts

Deep Learning for Launching and Mitigating Wireless Jamming Attacks

Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks

Continuous Graph Neural Networks

Streaming automatic speech recognition with the transformer model

Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

Neural operators approximate strongly continuous convex monotone semigroups

Sparse Graph Attention Networks

The Riemannian Geometry of Deep Generative Models

Learning values across many orders of magnitude

Conditional Channel Gated Networks for Task-Aware Continual Learning

Bayesian Recurrent Neural Networks