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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1,681 to 1,740 of 6,774

What Makes a Reward Model a Good Teacher? An Optimization Perspective
Noam Razin, Zixuan Wang, Hubert Strauss +3
cs.LGcs.AIcs.CLarXiv:2503.15477v42025
Measuring consistency via ensemble margin and local prediction variability: Auditing decision systems in the presence of predictive multiplicity
Sinjini Banerjee, Tim Marrinan, Anand D. Sarwate
stat.MLcs.AIcs.LGarXiv:2609.01397v12026
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
Nicholas Watters, Loic Matthey, Christopher P. Burgess +1
cs.LGcs.CVstat.MLarXiv:1901.07017v22019
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt, Yongwon Hong, Iuliia Pliushch +1
cs.LGstat.MLarXiv:2009.01797v32020
Embedded Conditional Independence Tests for Large Language Model Generated Text with an Application to German Parliament Speeches
Marco Simnacher, Georg Keilbar, Benjamin König +2
stat.MLcs.AIcs.LGarXiv:2609.00946v12026
Learning the Travelling Salesperson Problem Requires Rethinking Generalization
Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau +1
cs.LGstat.MLarXiv:2006.07054v62020
How to Make Causal Inferences Using Texts
Naoki Egami, Christian J. Fong, Justin Grimmer +2
stat.MLcs.CLstat.MEarXiv:1802.02163v12018
Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review
Masatoshi Uehara, Yulai Zhao, Chenyu Wang +4
cs.AIcs.LGq-bio.QMarXiv:2501.09685v22025
Reconstructing Training Data from Trained Neural Networks
Niv Haim, Gal Vardi, Gilad Yehudai +2
cs.LGcs.CRcs.CVarXiv:2206.07758v32022
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training
Chia-Yu Chen, Jungwook Choi, Daniel Brand +3
cs.LGstat.MLarXiv:1712.02679v12017
Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model
Jean Tarbouriech, Matteo Pirotta, Michal Valko +1
cs.LGstat.MLarXiv:2604.16111v12026
A Study of Reinforcement Learning for Neural Machine Translation
Lijun Wu, Fei Tian, Tao Qin +2
cs.LGcs.AIstat.MLarXiv:1808.08866v12018
The challenge of realistic music generation: modelling raw audio at scale
Sander Dieleman, Aäron van den Oord, Karen Simonyan
cs.SDcs.LGeess.ASarXiv:1806.10474v12018
Online EM Algorithm for Hidden Markov Models
Olivier Cappé
stat.COstat.MLarXiv:0908.2359v22009
Iterative Amortized Inference
Joseph Marino, Yisong Yue, Stephan Mandt
cs.LGstat.MLarXiv:1807.09356v12018
Effective Diversity in Population Based Reinforcement Learning
Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski +1
cs.LGstat.MLarXiv:2002.00632v32020
A feature agnostic approach for glaucoma detection in OCT volumes
Stefan Maetschke, Bhavna Antony, Hiroshi Ishikawa +3
cs.CVcs.LGstat.MLarXiv:1807.04855v42018
Parametrized quantum policies for reinforcement learning
Sofiene Jerbi, Casper Gyurik, Simon C. Marshall +2
quant-phcs.AIcs.LGarXiv:2103.05577v22021
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Jiachen T. Wang, Ruoxi Jia
cs.LGcs.GTstat.MLarXiv:2205.15466v72022
SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning
Guangyuan Wang, Mads Toftrup, Sebastian Loeschcke +2
cs.LGcs.AImath.OCarXiv:2608.29448v12026
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications
Songtao Lu, Ioannis Tsaknakis, Mingyi Hong +1
math.OCstat.MLarXiv:1902.08294v22019
Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge
Ryan J. Gallagher, Kyle Reing, David Kale +1
cs.CLcs.IRcs.ITarXiv:1611.10277v42016
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics
Johannes Ackermann, Volker Gabler, Takayuki Osa +1
cs.LGcs.AIcs.MAarXiv:1910.01465v22019
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
Yuqing Hu, Vincent Gripon, Stéphane Pateux
cs.LGstat.MLarXiv:2006.03806v32020
Convergence of Gradient Descent on Separable Data
Mor Shpigel Nacson, Jason D. Lee, Suriya Gunasekar +3
stat.MLcs.LGarXiv:1803.01905v32018
Pruning the Pilots: Deep Learning-Based Pilot Design and Channel Estimation for MIMO-OFDM Systems
Mahdi Boloursaz Mashhadi, Deniz Gunduz
cs.ITeess.SPstat.MLarXiv:2006.11796v32020
Benchmarking Reinforcement Learning Algorithms on Real-World Robots
A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan +2
cs.LGcs.AIcs.ROarXiv:1809.07731v12018
Neural Embeddings of Graphs in Hyperbolic Space
Benjamin Paul Chamberlain, James Clough, Marc Peter Deisenroth
stat.MLcs.LGarXiv:1705.10359v12017
Proximity Forest: An effective and scalable distance-based classifier for time series
Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier +5
cs.LGstat.MLarXiv:1808.10594v22018
PhaseLink: A Deep Learning Approach to Seismic Phase Association
Zachary E. Ross, Yisong Yue, Men-Andrin Meier +2
cs.LGphysics.geo-phstat.MLarXiv:1809.02880v22018
Application of machine learning for hematological diagnosis
Gregor Gunčar, Matjaž Kukar, Mateja Notar +4
stat.MLarXiv:1708.00253v12017
Learning Neural Causal Models from Unknown Interventions
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal +6
stat.MLcs.AIcs.LGarXiv:1910.01075v22019
GenDICE: Generalized Offline Estimation of Stationary Values
Ruiyi Zhang, Bo Dai, Lihong Li +1
stat.MLcs.LGarXiv:2002.09072v12020
Preventing Posterior Collapse with delta-VAEs
Ali Razavi, Aäron van den Oord, Ben Poole +1
cs.LGstat.MLarXiv:1901.03416v12019
Imitation Learning as $f$-Divergence Minimization
Liyiming Ke, Sanjiban Choudhury, Matt Barnes +3
cs.LGcs.ITcs.ROarXiv:1905.12888v22019
From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence
Marc Finzi, Shikai Qiu, Yiding Jiang +3
cs.LGstat.MLarXiv:2601.03220v22026
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos
cs.LGstat.MLarXiv:1903.10598v12019
Adapting Auxiliary Losses Using Gradient Similarity
Yunshu Du, Wojciech M. Czarnecki, Siddhant M. Jayakumar +3
stat.MLcs.LGarXiv:1812.02224v22018
Scaling Video Analytics on Constrained Edge Nodes
Christopher Canel, Thomas Kim, Giulio Zhou +5
cs.CVcs.LGcs.PFarXiv:1905.13536v12019
Matched Queries for Curvature and Density at Branching Junctions
Ziqi Zhao, Qingjian Ni
stat.MLcs.LGarXiv:2609.01319v12026
Variational inference for large-scale models of discrete choice
Michael Braun, Jon McAuliffe
stat.MEstat.COstat.MLarXiv:0712.2526v32007
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
Li Jing, Yichen Shen, Tena Dubček +5
cs.LGcs.NEstat.MLarXiv:1612.05231v32016
Natural Neural Networks
Guillaume Desjardins, Karen Simonyan, Razvan Pascanu +1
stat.MLcs.LGcs.NEarXiv:1507.00210v12015
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence
Nihar B. Shah, Sivaraman Balakrishnan, Joseph Bradley +3
cs.LGcs.ITstat.MLarXiv:1505.01462v12015
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Derek Yang, Li Zhao, Zichuan Lin +3
cs.LGcs.AIstat.MLarXiv:1911.02140v32019
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf +1
cs.LGcs.AIstat.MLarXiv:2010.04050v22020
Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs)
Artem Riabinin, Egor Shulgin, Kaja Gruntkowska +1
cs.LGmath.OCstat.MLarXiv:2505.13416v12025
Voice Separation with an Unknown Number of Multiple Speakers
Eliya Nachmani, Yossi Adi, Lior Wolf
eess.AScs.LGcs.SDarXiv:2003.01531v42020
Missing Data Imputation using Optimal Transport
Boris Muzellec, Julie Josse, Claire Boyer +1
stat.MLcs.LGarXiv:2002.03860v32020
Solving Schrödinger Bridges via Maximum Likelihood
Francisco Vargas, Pierre Thodoroff, Neil D. Lawrence +1
stat.MLcs.LGarXiv:2106.02081v92021
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Tor Lattimore, Csaba Szepesvari, Gellert Weisz
stat.MLcs.LGarXiv:1911.07676v22019
From Pixels to Torques: Policy Learning with Deep Dynamical Models
Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth
stat.MLcs.LGcs.ROarXiv:1502.02251v32015
A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization
Yukun Bao, Zhongyi Hu, Tao Xiong
cs.LGcs.AIcs.NEarXiv:1401.1926v12014
Differentiable Ranks and Sorting using Optimal Transport
Marco Cuturi, Olivier Teboul, Jean-Philippe Vert
cs.LGstat.MLarXiv:1905.11885v22019
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes, Guillermo Sapiro, Alex M. Bronstein
cs.NEcs.LGstat.MLarXiv:1504.08291v52015
HyperMC: Multi-Fidelity Hyperparameter Tuning for Stochastic Gradient MCMC
Ming Tan, Xiyun Jiao
stat.MLcs.LGstat.COarXiv:2609.02138v12026
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems
Minghong Fang, Neil Zhenqiang Gong, Jia Liu
cs.CRcs.IRcs.LGarXiv:2002.08025v32020
Algorithms and Theory for Multiple-Source Adaptation
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
cs.LGstat.MLarXiv:1805.08727v12018
Approximate Nearest Neighbor Search in High Dimensions
Alexandr Andoni, Piotr Indyk, Ilya Razenshteyn
cs.DScs.CGcs.DBarXiv:1806.09823v12018
Reconstructing subclonal composition and evolution from whole genome sequencing of tumors
Amit G. Deshwar, Shankar Vembu, Christina K. Yung +3
q-bio.PEcs.LGstat.MLarXiv:1406.7250v32014

Machine Learning (stat)

What Makes a Reward Model a Good Teacher? An Optimization Perspective

Measuring consistency via ensemble margin and local prediction variability: Auditing decision systems in the presence of predictive multiplicity

Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs

A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning

Embedded Conditional Independence Tests for Large Language Model Generated Text with an Application to German Parliament Speeches

Learning the Travelling Salesperson Problem Requires Rethinking Generalization

How to Make Causal Inferences Using Texts

Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review

Reconstructing Training Data from Trained Neural Networks

AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training

Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model

A Study of Reinforcement Learning for Neural Machine Translation

The challenge of realistic music generation: modelling raw audio at scale

Online EM Algorithm for Hidden Markov Models

Iterative Amortized Inference

Effective Diversity in Population Based Reinforcement Learning

A feature agnostic approach for glaucoma detection in OCT volumes

Parametrized quantum policies for reinforcement learning

Data Banzhaf: A Robust Data Valuation Framework for Machine Learning

SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning

Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications

Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge

Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics

Leveraging the Feature Distribution in Transfer-based Few-Shot Learning

Convergence of Gradient Descent on Separable Data

Pruning the Pilots: Deep Learning-Based Pilot Design and Channel Estimation for MIMO-OFDM Systems

Benchmarking Reinforcement Learning Algorithms on Real-World Robots

Neural Embeddings of Graphs in Hyperbolic Space

Proximity Forest: An effective and scalable distance-based classifier for time series

PhaseLink: A Deep Learning Approach to Seismic Phase Association

Application of machine learning for hematological diagnosis

Learning Neural Causal Models from Unknown Interventions

GenDICE: Generalized Offline Estimation of Stationary Values

Preventing Posterior Collapse with delta-VAEs

Imitation Learning as $f$-Divergence Minimization

From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence

Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making

Adapting Auxiliary Losses Using Gradient Similarity

Scaling Video Analytics on Constrained Edge Nodes

Matched Queries for Curvature and Density at Branching Junctions

Variational inference for large-scale models of discrete choice

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

Natural Neural Networks

Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence

Fully Parameterized Quantile Function for Distributional Reinforcement Learning

A survey of algorithmic recourse: definitions, formulations, solutions, and prospects

Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs)

Voice Separation with an Unknown Number of Multiple Speakers

Missing Data Imputation using Optimal Transport

Solving Schrödinger Bridges via Maximum Likelihood

Learning with Good Feature Representations in Bandits and in RL with a Generative Model

From Pixels to Torques: Policy Learning with Deep Dynamical Models

A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization

Differentiable Ranks and Sorting using Optimal Transport

Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

HyperMC: Multi-Fidelity Hyperparameter Tuning for Stochastic Gradient MCMC

Influence Function based Data Poisoning Attacks to Top-N Recommender Systems

Algorithms and Theory for Multiple-Source Adaptation

Approximate Nearest Neighbor Search in High Dimensions

Reconstructing subclonal composition and evolution from whole genome sequencing of tumors