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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7,201 to 7,260 of 9,715

Nonparametric inference of interaction laws in systems of agents from trajectory data
Fei Lu, Mauro Maggioni, Sui Tang +1
cs.LGstat.MLarXiv:1812.06003v42018
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal, Abram L. Friesen, Andrea Banino +13
cs.LGstat.MLarXiv:2202.08417v42022
Full-Model Optimality for Tunable Linear Generative Priors in Compressed Sensing
Zhaoming Li, Paul Hand
stat.MLcs.LGarXiv:2609.02790v12026
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani +2
cs.LGcs.DCmath.OCarXiv:1909.13014v42019
The Effects of Memory Replay in Reinforcement Learning
Ruishan Liu, James Zou
cs.AIcs.LGstat.MLarXiv:1710.06574v12017
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
Youru Li, Zhenfeng Zhu, Deqiang Kong +2
cs.LGcs.NEstat.MLarXiv:1811.03760v12018
SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting
Baishi Li, Kelvin J. L. Koa, Ke-Wei Huang
stat.MLcs.AIcs.LGarXiv:2608.17333v12026
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
Tyler L. Hayes, Christopher Kanan
cs.LGcs.CVstat.MLarXiv:1909.01520v32019
GLU Variants Improve Transformer
Noam Shazeer
cs.LGcs.NEstat.MLarXiv:2002.05202v12020
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
Liwei Song, Reza Shokri, Prateek Mittal
stat.MLcs.CRcs.LGarXiv:1905.10291v32019
Recovering linear images of sparse signals from indirect observations
Anatoli Juditsky, Arkadi Nemirovski
stat.MLcs.ITcs.LGarXiv:2609.06182v12026
How Powerful are Graph Neural Networks?
Keyulu Xu, Weihua Hu, Jure Leskovec +1
cs.LGcs.CVstat.MLarXiv:1810.00826v32018
A unified deep artificial neural network approach to partial differential equations in complex geometries
Jens Berg, Kaj Nyström
stat.MLcs.LGarXiv:1711.06464v22017
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi, Mathieu Blondel
stat.MLarXiv:1703.01541v22017
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang +1
eess.AScs.AIcs.LGarXiv:1709.06298v22017
Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application
Weiran Wang, Miguel Á. Carreira-Perpiñán
cs.LGmath.OCstat.MLarXiv:1309.1541v12013
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Yu Bai, Fan Chen, Huan Wang +2
cs.LGcs.AIcs.CLarXiv:2306.04637v22023
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
Dylan J. Foster, Alexander Rakhlin
cs.LGmath.STstat.MLarXiv:2002.04926v22020
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Yunchen Pu, Zhe Gan, Ricardo Henao +4
stat.MLcs.LGarXiv:1609.08976v12016
Learning the Structure of Generative Models without Labeled Data
Stephen H. Bach, Bryan He, Alexander Ratner +1
cs.LGstat.MLarXiv:1703.00854v22017
Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning
Krzysztof M. Graczyk, Maciej Matyka
physics.comp-phcond-mat.dis-nncs.LGarXiv:2007.02820v12020
RelEx: A Model-Agnostic Relational Model Explainer
Yue Zhang, David Defazio, Arti Ramesh
cs.LGstat.MLarXiv:2006.00305v12020
The Role of Gradient Modification in Heavy-Tailed Nonconvex Stochastic Min-Max Optimization
Tianxi Zhu, Yi Xu, Xiangyang Ji
math.OCcs.AIstat.MLarXiv:2609.06064v12026
On the Global Convergence Rates of Softmax Policy Gradient Methods
Jincheng Mei, Chenjun Xiao, Csaba Szepesvari +1
cs.LGstat.MLarXiv:2005.06392v32020
The generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime
Andrea Montanari, Feng Ruan, Youngtak Sohn +1
math.STstat.MLarXiv:1911.01544v32019
Random-Set Graph Neural Networks
Tommy Woodley, Shireen Kudukkil Manchingal, Matteo Tolloso +2
cs.AIcs.LGstat.AParXiv:2605.11987v12026
Sliced Gromov-Wasserstein
Titouan Vayer, Rémi Flamary, Romain Tavenard +2
stat.MLcs.LGarXiv:1905.10124v42019
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization
Jonas Kohler, Hadi Daneshmand, Aurelien Lucchi +3
stat.MLcs.LGarXiv:1805.10694v32018
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity
Po-Ling Loh, Martin J. Wainwright
math.STcs.ITstat.MLarXiv:1109.3714v42011
Task-Aware Variational Adversarial Active Learning
Kwanyoung Kim, Dongwon Park, Kwang In Kim +1
cs.LGstat.MLarXiv:2002.04709v22020
ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings
Na Li, Yuchen Jiao, Changxiao Cai +1
cs.CLcs.AIcs.LGarXiv:2608.23551v12026
$\sigma$Transfer: Uncertainty Transfer from Small to Large Networks under $\mu\mathrm{P}$
Richard Bergna, Fernando Ruiz Mazo, Nicolò Felicioni +2
stat.MLcs.LGarXiv:2610.11668v12026
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
Lei Bai, Lina Yao, Salil. S Kanhere +2
cs.LGcs.AIstat.MLarXiv:1905.10069v12019
Signal Processing over Product DAGs: Causal Shifts and Filters
Sundeep Prabhakar Chepuri, Antonio G. Marques, Maulik Devmurari +1
stat.MLeess.SParXiv:2609.40275v12026
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation
Mike Lambeta, Po-Wei Chou, Stephen Tian +9
cs.ROcs.LGeess.SYarXiv:2005.14679v12020
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
Christoph Wehmeyer, Frank Noé
stat.MLcs.LGphysics.bio-pharXiv:1710.11239v12017
Finite Depth and Width Corrections to the Neural Tangent Kernel
Boris Hanin, Mihai Nica
cs.LGmath.PRstat.MLarXiv:1909.05989v12019
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti +1
cs.LGcs.AIstat.MLarXiv:1810.01270v12018
Deep Learning Through the Lens of Example Difficulty
Robert J. N. Baldock, Hartmut Maennel, Behnam Neyshabur
cs.LGstat.MLarXiv:2106.09647v22021
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu +5
cs.ROcs.AIcs.LGarXiv:2210.17366v12022
Streaming Graph Neural Networks via Continual Learning
Junshan Wang, Guojie Song, Yi Wu +1
cs.LGcs.SIstat.MLarXiv:2009.10951v22020
Optimal Rates for Multi-pass Stochastic Gradient Methods
Junhong Lin, Lorenzo Rosasco
cs.LGmath.OCstat.MLarXiv:1605.08882v32016
Exploring Connections Between Active Learning and Model Extraction
Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli +2
cs.LGcs.CRstat.MLarXiv:1811.02054v62018
Spectral MLE: Top-$K$ Rank Aggregation from Pairwise Comparisons
Yuxin Chen, Changho Suh
cs.LGcs.DScs.ITarXiv:1504.07218v22015
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin, Regina Barzilay, Tommi Jaakkola
cs.LGstat.MLarXiv:2002.03230v22020
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic +2
stat.MLcs.LGarXiv:1806.00035v22018
Improving Palliative Care with Deep Learning
Anand Avati, Kenneth Jung, Stephanie Harman +3
cs.CYcs.LGstat.MLarXiv:1711.06402v12017
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes
Rachel Ward, Xiaoxia Wu, Leon Bottou
stat.MLcs.LGarXiv:1806.01811v82018
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations
Ioana Bica, Ahmed M. Alaa, James Jordon +1
cs.LGstat.MLarXiv:2002.04083v12020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa, Aditi Raghunathan, Pang Wei Koh +1
cs.LGcs.CVstat.MLarXiv:2005.04345v32020
Hypothesis Testing Interpretations and Renyi Differential Privacy
Borja Balle, Gilles Barthe, Marco Gaboardi +2
cs.LGstat.MLarXiv:1905.09982v22019
Is Out-of-Distribution Detection Learnable?
Zhen Fang, Yixuan Li, Jie Lu +3
cs.LGstat.MLarXiv:2210.14707v32022
On the Power of Over-parametrization in Neural Networks with Quadratic Activation
Simon S. Du, Jason D. Lee
cs.LGcs.AImath.OCarXiv:1803.01206v22018
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux +1
cs.LGstat.MLarXiv:2007.02387v12020
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang, Zhifeng Gao, Mingsheng Long +2
cs.LGcs.CVstat.MLarXiv:1804.06300v22018
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Andrey Voynov, Artem Babenko
cs.LGcs.CVstat.MLarXiv:2002.03754v32020
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Xue Bin Peng, Michael Chang, Grace Zhang +2
cs.LGstat.MLarXiv:1905.09808v12019
Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to analysis of Bayesian algorithms
Denis Belomestny, Pierre Menard, Alexey Naumov +2
math.PRcs.LGmath.STarXiv:2304.03056v12023
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Nathan Hilliard, Lawrence Phillips, Scott Howland +3
cs.LGstat.MLarXiv:1802.04376v12018
Deep Clustering and Conventional Networks for Music Separation: Stronger Together
Yi Luo, Zhuo Chen, John R. Hershey +2
stat.MLcs.LGcs.SDarXiv:1611.06265v22016

Machine Learning (stat)

Nonparametric inference of interaction laws in systems of agents from trajectory data

Retrieval-Augmented Reinforcement Learning

Full-Model Optimality for Tunable Linear Generative Priors in Compressed Sensing

FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization

The Effects of Memory Replay in Reinforcement Learning

EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis

GLU Variants Improve Transformer

Privacy Risks of Securing Machine Learning Models against Adversarial Examples

Recovering linear images of sparse signals from indirect observations

How Powerful are Graph Neural Networks?

A unified deep artificial neural network approach to partial differential equations in complex geometries

Soft-DTW: a Differentiable Loss Function for Time-Series

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles

Variational Autoencoder for Deep Learning of Images, Labels and Captions

Learning the Structure of Generative Models without Labeled Data

Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning

RelEx: A Model-Agnostic Relational Model Explainer

The Role of Gradient Modification in Heavy-Tailed Nonconvex Stochastic Min-Max Optimization

On the Global Convergence Rates of Softmax Policy Gradient Methods

The generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime

Random-Set Graph Neural Networks

Sliced Gromov-Wasserstein

Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization

High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity

Task-Aware Variational Adversarial Active Learning

ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings

$\sigma$Transfer: Uncertainty Transfer from Small to Large Networks under $\mu\mathrm{P}$

STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

Signal Processing over Product DAGs: Causal Shifts and Filters

DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation

Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics

Finite Depth and Width Corrections to the Neural Tangent Kernel

META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning

Deep Learning Through the Lens of Example Difficulty

Guided Conditional Diffusion for Controllable Traffic Simulation

Streaming Graph Neural Networks via Continual Learning

Optimal Rates for Multi-pass Stochastic Gradient Methods

Exploring Connections Between Active Learning and Model Extraction

Spectral MLE: Top-$K$ Rank Aggregation from Pairwise Comparisons

Hierarchical Generation of Molecular Graphs using Structural Motifs

Assessing Generative Models via Precision and Recall

Improving Palliative Care with Deep Learning

AdaGrad stepsizes: Sharp convergence over nonconvex landscapes

Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations

An Investigation of Why Overparameterization Exacerbates Spurious Correlations

Hypothesis Testing Interpretations and Renyi Differential Privacy

Is Out-of-Distribution Detection Learnable?

On the Power of Over-parametrization in Neural Networks with Quadratic Activation

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs

PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning

Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies

Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to analysis of Bayesian algorithms

Few-Shot Learning with Metric-Agnostic Conditional Embeddings

Deep Clustering and Conventional Networks for Music Separation: Stronger Together