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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901 to 960 of 6,792

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
Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives
Abhishek Divekar, Meet Parekh, Vaibhav Savla +2
cs.LGcs.AIcs.CRarXiv:1811.05372v12018
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications
Bryse Flowers, R. Michael Buehrer, William C. Headley
eess.SPcs.LGstat.MLarXiv:1903.01563v12019
Meta-Learning of Neural Architectures for Few-Shot Learning
Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen +1
cs.LGstat.MLarXiv:1911.11090v32019
Robust computation of linear models by convex relaxation
Gilad Lerman, Michael McCoy, Joel A. Tropp +1
cs.ITstat.COstat.MLarXiv:1202.4044v22012
Online Ensemble Learning for Imbalanced Data Streams
Boyu Wang, Joelle Pineau
cs.LGstat.MLarXiv:1310.8004v12013
A Unified Perspective on Multi-Domain and Multi-Task Learning
Yongxin Yang, Timothy M. Hospedales
stat.MLcs.LGcs.NEarXiv:1412.7489v32014
Counterpoint by Convolution
Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts +2
cs.LGcs.SDeess.ASarXiv:1903.07227v12019
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
Erik Englesson, Hossein Azizpour
cs.LGcs.CVstat.MLarXiv:2105.04522v42021
Learning What and Where to Transfer
Yunhun Jang, Hankook Lee, Sung Ju Hwang +1
cs.LGstat.MLarXiv:1905.05901v12019
Deep Knockoffs
Yaniv Romano, Matteo Sesia, Emmanuel J. Candès
stat.MEmath.STstat.AParXiv:1811.06687v12018
Convergence rates of sub-sampled Newton methods
Murat A. Erdogdu, Andrea Montanari
stat.MLarXiv:1508.02810v22015
Meta-Q-Learning
Rasool Fakoor, Pratik Chaudhari, Stefano Soatto +1
cs.LGstat.MLarXiv:1910.00125v22019
Interventional Causal Representation Learning
Kartik Ahuja, Divyat Mahajan, Yixin Wang +1
stat.MLcs.LGarXiv:2209.11924v42022
Bayesian Optimization of Combinatorial Structures
Ricardo Baptista, Matthias Poloczek
stat.MLcs.LGmath.OCarXiv:1806.08838v22018
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
Junyu Zhang, Alec Koppel, Amrit Singh Bedi +2
cs.LGstat.MLarXiv:2007.02151v12020
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Tianhao Wang, Dongruo Zhou, Quanquan Gu
cs.LGmath.OCstat.MLarXiv:2101.02195v22021
Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods
Xingtong Liu, Ayushi Sinha, Masaru Ishii +4
cs.CVstat.MLarXiv:1902.07766v22019
Human Activity Recognition using Recurrent Neural Networks
Deepika Singh, Erinc Merdivan, Ismini Psychoula +4
cs.NEcs.LGstat.MLarXiv:1804.07144v12018
Restricted Strong Convexity Implies Weak Submodularity
Ethan R. Elenberg, Rajiv Khanna, Alexandros G. Dimakis +1
stat.MLcs.ITcs.LGarXiv:1612.00804v22016
Physics Informed Neural Networks for Simulating Radiative Transfer
Siddhartha Mishra, Roberto Molinaro
cs.LGstat.MLarXiv:2009.13291v32020
Reinforcement Learning with Perturbed Rewards
Jingkang Wang, Yang Liu, Bo Li
cs.LGcs.CRcs.CVarXiv:1810.01032v42018
geomstats: a Python Package for Riemannian Geometry in Machine Learning
Nina Miolane, Johan Mathe, Claire Donnat +2
cs.LGcs.MSstat.MLarXiv:1805.08308v22018
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez +1
stat.MLcs.LGarXiv:1605.07127v32016
Blind Justice: Fairness with Encrypted Sensitive Attributes
Niki Kilbertus, Adrià Gascón, Matt J. Kusner +3
stat.MLcs.CRcs.CYarXiv:1806.03281v12018
Fast and energy-efficient neuromorphic deep learning with first-spike times
Julian Göltz, Laura Kriener, Andreas Baumbach +9
cs.NEcs.ETq-bio.NCarXiv:1912.11443v42019
Learning Long-Term Dependencies in Irregularly-Sampled Time Series
Mathias Lechner, Ramin Hasani
cs.LGstat.MLarXiv:2006.04418v42020
Improved architectures and training algorithms for deep operator networks
Sifan Wang, Hanwen Wang, Paris Perdikaris
cs.LGmath.NAphysics.comp-pharXiv:2110.01654v22021
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
Andrea Paudice, Luis Muñoz-González, Andras Gyorgy +1
stat.MLcs.CRcs.LGarXiv:1802.03041v12018
Bypassing Backdoor Detection Algorithms in Deep Learning
Te Juin Lester Tan, Reza Shokri
cs.LGcs.CRstat.MLarXiv:1905.13409v22019
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli +1
cs.LGcond-mat.dis-nnstat.MLarXiv:2003.01054v22020
InstaGAN: Instance-aware Image-to-Image Translation
Sangwoo Mo, Minsu Cho, Jinwoo Shin
cs.LGcs.CVstat.MLarXiv:1812.10889v22018
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar +1
cs.LGeess.SPstat.MLarXiv:1905.10750v22019
Near-Optimal Adaptive Compressed Sensing
Matthew L. Malloy, Robert D. Nowak
cs.ITstat.MLarXiv:1306.6239v22013
Learning curves of generic features maps for realistic datasets with a teacher-student model
Bruno Loureiro, Cédric Gerbelot, Hugo Cui +4
stat.MLcond-mat.dis-nncs.LGarXiv:2102.08127v32021
Ranking via Sinkhorn Propagation
Ryan Prescott Adams, Richard S. Zemel
stat.MLcs.IRcs.LGarXiv:1106.1925v22011
Provable Filter Pruning for Efficient Neural Networks
Lucas Liebenwein, Cenk Baykal, Harry Lang +2
cs.LGstat.MLarXiv:1911.07412v22019
Co-regularized Alignment for Unsupervised Domain Adaptation
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan +4
cs.LGstat.MLarXiv:1811.05443v12018
Active Federated Learning
Jack Goetz, Kshitiz Malik, Duc Bui +3
cs.LGstat.MLarXiv:1909.12641v12019

Machine Learning (stat)

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

Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives

Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications

Meta-Learning of Neural Architectures for Few-Shot Learning

Robust computation of linear models by convex relaxation

Online Ensemble Learning for Imbalanced Data Streams

A Unified Perspective on Multi-Domain and Multi-Task Learning

Counterpoint by Convolution

Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

Learning What and Where to Transfer

Deep Knockoffs

Convergence rates of sub-sampled Newton methods

Meta-Q-Learning

Interventional Causal Representation Learning

Bayesian Optimization of Combinatorial Structures

Variational Policy Gradient Method for Reinforcement Learning with General Utilities

Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints

Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods

Human Activity Recognition using Recurrent Neural Networks

Restricted Strong Convexity Implies Weak Submodularity

Physics Informed Neural Networks for Simulating Radiative Transfer

Reinforcement Learning with Perturbed Rewards

geomstats: a Python Package for Riemannian Geometry in Machine Learning

Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks

Blind Justice: Fairness with Encrypted Sensitive Attributes

Fast and energy-efficient neuromorphic deep learning with first-spike times

Learning Long-Term Dependencies in Irregularly-Sampled Time Series

Improved architectures and training algorithms for deep operator networks

Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection

Bypassing Backdoor Detection Algorithms in Deep Learning

Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime

InstaGAN: Instance-aware Image-to-Image Translation

ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection

Near-Optimal Adaptive Compressed Sensing

Learning curves of generic features maps for realistic datasets with a teacher-student model

Ranking via Sinkhorn Propagation

Provable Filter Pruning for Efficient Neural Networks

Co-regularized Alignment for Unsupervised Domain Adaptation

Active Federated Learning