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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7,621 to 7,680 of 9,706

Artificial intelligence surrogates for treatment effect estimation with before-and-after data
Frances Dean, Anna Neufeld, Joshua Barrios +2
stat.MLcs.LGarXiv:2609.27180v12026
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
Alexander Immer, Matthias Bauer, Vincent Fortuin +2
stat.MLcs.LGarXiv:2104.04975v32021
Graph Representation Learning via Graphical Mutual Information Maximization
Zhen Peng, Wenbing Huang, Minnan Luo +4
cs.LGcs.AIstat.MLarXiv:2002.01169v12020
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
Fernando Gama, Elvin Isufi, Geert Leus +1
cs.LGeess.SYstat.MLarXiv:2003.03777v52020
A convolutional framework for detecting event-driven dynamics in energy price series
Caixia Xu, Piotr Fryzlewicz
stat.MLcs.LGstat.MEarXiv:2609.00402v12026
Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage
Jonathan D. Chang, Masatoshi Uehara, Dhruv Sreenivas +2
cs.LGstat.MLarXiv:2106.03207v32021
The Like Trap: Multi-Stage Poisoning against Agents in Similarity-based Recommendation Systems
Yue Xing, Pengfei He, Zitao Li
cs.CRcs.AIcs.LGarXiv:2609.27155v12026
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
Shen Wang, Jibing Gong, Jinlong Wang +4
cs.LGcs.CYcs.IRarXiv:2006.13257v12020
Inference-time Scaling of Diffusion Models through Classical Search
Xiangcheng Zhang, Haowei Lin, Haotian Ye +4
cs.LGstat.MLarXiv:2505.23614v22025
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts
Xiang Li, Garrett Wen, Weiqing He +3
stat.MLcs.CLcs.LGarXiv:2506.22343v22025
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn, Kelvin Xu, Sergey Levine
cs.LGcs.AIstat.MLarXiv:1806.02817v22018
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien, Martin Jaggi
math.OCcs.LGstat.MLarXiv:1511.05932v12015
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin, Regina Barzilay, Tommi Jaakkola
cs.LGcs.NEstat.MLarXiv:1802.04364v42018
Position: The Complexity of Perfect AI Alignment -- Formalizing the RLHF Trilemma
Subramanyam Sahoo, Aman Chadha, Vinija Jain +1
cs.LGstat.MLarXiv:2511.19504v12025
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
Anoop Korattikara, Yutian Chen, Max Welling
cs.LGstat.MLarXiv:1304.5299v42013
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Ruth Fong, Mandela Patrick, Andrea Vedaldi
cs.CVcs.LGstat.MLarXiv:1910.08485v12019
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
Dongruo Zhou, Jiafan He, Quanquan Gu
cs.LGcs.AImath.OCarXiv:2006.13165v42020
The Information Bottleneck Problem and Its Applications in Machine Learning
Ziv Goldfeld, Yury Polyanskiy
cs.LGstat.MLarXiv:2004.14941v22020
A New Approach to Probabilistic Programming Inference
Frank Wood, Jan Willem van de Meent, Vikash Mansinghka
stat.MLcs.AIcs.PLarXiv:1507.00996v22015
Scaling Vision with Sparse Mixture of Experts
Carlos Riquelme, Joan Puigcerver, Basil Mustafa +5
cs.CVcs.LGstat.MLarXiv:2106.05974v12021
Count-Based Exploration with the Successor Representation
Marlos C. Machado, Marc G. Bellemare, Michael Bowling
cs.LGcs.AIstat.MLarXiv:1807.11622v42018
Distributional Smoothing with Virtual Adversarial Training
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama +2
stat.MLcs.LGarXiv:1507.00677v92015
A theory of platonic representations in language models
Darshil Doshi, Wenjie Zhou, Corinna Elena Wegner +3
cs.LGcs.CLstat.MLarXiv:2610.07168v12026
Fast rates for support vector machines using Gaussian kernels
Ingo Steinwart, Clint Scovel
math.STstat.MLarXiv:0708.1838v12007
Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese, Robert Knobloch, Ralf Korn +1
q-fin.MFcs.LGq-fin.CParXiv:1907.06673v22019
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu, Aravind Rajeswaran, Yan Duan +5
cs.LGcs.AIstat.MLarXiv:1803.07246v12018
Slow Learners are Fast
John Langford, Alexander Smola, Martin Zinkevich
math.OCstat.MLarXiv:0911.0491v12009
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
Yu Chen, Lingfei Wu, Mohammed J. Zaki
cs.LGstat.MLarXiv:2006.13009v22020
Understanding and correcting pathologies in the training of learned optimizers
Luke Metz, Niru Maheswaranathan, Jeremy Nixon +2
cs.NEstat.MLarXiv:1810.10180v52018
Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language
Avia Efrat, Uri Shaham, Dan Kilman +1
cs.CLcs.AIcs.LGarXiv:2103.01242v22021
A Kronecker-factored approximate Fisher matrix for convolution layers
Roger Grosse, James Martens
stat.MLcs.LGarXiv:1602.01407v22016
Occupancy-based Quantile Risk Control
Zihao Shi, Huajun Xi, Bingyi Jing +1
stat.MLcs.LGarXiv:2609.03104v12026
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra +2
cs.LGstat.MLarXiv:1506.06840v22015
Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime
Hugo Latourelle-Vigeant, Sinho Chewi, Aram-Alexandre Pooladian +2
stat.MLcs.LGmath.STarXiv:2608.23938v12026
ChainerRL: A Deep Reinforcement Learning Library
Yasuhiro Fujita, Prabhat Nagarajan, Toshiki Kataoka +1
cs.LGcs.AIstat.MLarXiv:1912.03905v22019
MCMC for Variationally Sparse Gaussian Processes
James Hensman, Alexander G. de G. Matthews, Maurizio Filippone +1
stat.MLarXiv:1506.04000v12015
An Introduction to Deep Reinforcement Learning
Vincent Francois-Lavet, Peter Henderson, Riashat Islam +2
cs.LGcs.AIstat.MLarXiv:1811.12560v22018
Optimal detection of general moment changes: Simultaneous mean and covariance change detection and beyond
Xiaokai Luo, Chenghao Xu, Haotian Xu +2
stat.MEmath.STstat.MLarXiv:2609.36594v12026
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Suraj Nair, Chelsea Finn
cs.LGcs.AIcs.CVarXiv:1909.05829v12019
Measuring Sample Quality with Stein's Method
Jackson Gorham, Lester Mackey
stat.MLcs.LGmath.PRarXiv:1506.03039v62015
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi, Joseph Wang, Ofer Dekel +1
cs.LGcs.CVcs.NEarXiv:1702.07811v22017
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Boris van Breugel, Trent Kyono, Jeroen Berrevoets +1
cs.LGstat.MLarXiv:2110.12884v22021
Score-based Generative Modeling in Latent Space
Arash Vahdat, Karsten Kreis, Jan Kautz
stat.MLcs.LGarXiv:2106.05931v32021
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei, Yue Tan, Kan Zheng +4
cs.LGstat.MLarXiv:1907.09059v32019
Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach
Chen-Yu Wei, Haipeng Luo
cs.LGcs.AIstat.MLarXiv:2102.05406v32021
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images
Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal +1
cs.CVcs.LGstat.MLarXiv:1703.06857v22017
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Yarin Gal, Zoubin Ghahramani
stat.MLcs.LGarXiv:1506.02158v62015
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding, Jianling Wang, Jundong Li +3
cs.LGcs.SIstat.MLarXiv:2006.12739v32020
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation
Song Liu, Makoto Yamada, Nigel Collier +1
stat.MLcs.LGstat.MEarXiv:1203.0453v22012
Solving for high dimensional committor functions using artificial neural networks
Yuehaw Khoo, Jianfeng Lu, Lexing Ying
cs.LGmath.NAstat.MLarXiv:1802.10275v12018
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
Sudipto Mukherjee, Himanshu Asnani, Eugene Lin +1
cs.LGstat.MLarXiv:1809.03627v22018
Student-t Processes as Alternatives to Gaussian Processes
Amar Shah, Andrew Gordon Wilson, Zoubin Ghahramani
stat.MLcs.AIcs.LGarXiv:1402.4306v22014
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
Grant M. Rotskoff, Eric Vanden-Eijnden
stat.MLcond-mat.stat-mechcs.LGarXiv:1805.00915v32018
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions
Oscar Li, Hao Liu, Chaofan Chen +1
cs.AIcs.LGstat.MLarXiv:1710.04806v22017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj, Giuseppe Ateniese, Fernando Perez-Cruz
cs.CRcs.LGstat.MLarXiv:1702.07464v32017
A Survey of Deep Active Learning
Pengzhen Ren, Yun Xiao, Xiaojun Chang +5
cs.LGstat.MLarXiv:2009.00236v22020
Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance
Giles Hooker, Lucas Mentch, Siyu Zhou
stat.MEcs.LGstat.MLarXiv:1905.03151v22019
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays
Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
stat.MLcs.LGarXiv:1506.00779v32015
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
Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung, SeongUk Park, Jangho Kim +1
cs.LGcs.AIcs.CVarXiv:2002.01775v32020

Machine Learning (stat)

Artificial intelligence surrogates for treatment effect estimation with before-and-after data

Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning

Graph Representation Learning via Graphical Mutual Information Maximization

Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks

A convolutional framework for detecting event-driven dynamics in energy price series

Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage

The Like Trap: Multi-Stage Poisoning against Agents in Similarity-based Recommendation Systems

Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View

Inference-time Scaling of Diffusion Models through Classical Search

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts

Probabilistic Model-Agnostic Meta-Learning

On the Global Linear Convergence of Frank-Wolfe Optimization Variants

Junction Tree Variational Autoencoder for Molecular Graph Generation

Position: The Complexity of Perfect AI Alignment -- Formalizing the RLHF Trilemma

Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget

Understanding Deep Networks via Extremal Perturbations and Smooth Masks

Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping

The Information Bottleneck Problem and Its Applications in Machine Learning

A New Approach to Probabilistic Programming Inference

Scaling Vision with Sparse Mixture of Experts

Count-Based Exploration with the Successor Representation

Distributional Smoothing with Virtual Adversarial Training

A theory of platonic representations in language models

Fast rates for support vector machines using Gaussian kernels

Quant GANs: Deep Generation of Financial Time Series

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines

Slow Learners are Fast

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings

Understanding and correcting pathologies in the training of learned optimizers

Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language

A Kronecker-factored approximate Fisher matrix for convolution layers

Occupancy-based Quantile Risk Control

On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants

Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime

ChainerRL: A Deep Reinforcement Learning Library

MCMC for Variationally Sparse Gaussian Processes

An Introduction to Deep Reinforcement Learning

Optimal detection of general moment changes: Simultaneous mean and covariance change detection and beyond

Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation

Measuring Sample Quality with Stein's Method

Adaptive Neural Networks for Efficient Inference

DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks

Score-based Generative Modeling in Latent Space

Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach

On the Limitation of Convolutional Neural Networks in Recognizing Negative Images

Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference

Graph Prototypical Networks for Few-shot Learning on Attributed Networks

Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

Solving for high dimensional committor functions using artificial neural networks

ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

Student-t Processes as Alternatives to Gaussian Processes

Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

A Survey of Deep Active Learning

Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance

Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays

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

Feature-map-level Online Adversarial Knowledge Distillation