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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2,641 to 2,700 of 6,784

Efficient Algorithms for Smooth Minimax Optimization
Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli +1
math.OCcs.LGstat.MLarXiv:1907.01543v12019
Offline RL Without Off-Policy Evaluation
David Brandfonbrener, William F. Whitney, Rajesh Ranganath +1
cs.LGstat.MLarXiv:2106.08909v32021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game
Alexander G. Reisach, Christof Seiler, Sebastian Weichwald
stat.MLcs.LGstat.MEarXiv:2102.13647v32021
LassoNet: A Neural Network with Feature Sparsity
Ismael Lemhadri, Feng Ruan, Louis Abraham +1
stat.MLcs.LGarXiv:1907.12207v102019
Graph Convolutional Matrix Completion
Rianne van den Berg, Thomas N. Kipf, Max Welling
stat.MLcs.DBcs.IRarXiv:1706.02263v22017
DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations
Kejun Tang, Xiaoliang Wan, Chao Yang
math.NAstat.MLarXiv:2112.14038v22021
The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute +2
cs.SIcs.CYcs.LGarXiv:2002.09931v12020
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
Kacper Sokol, Peter Flach
cs.LGcs.AIstat.MLarXiv:2001.09734v12020
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery +5
cs.LGmath.OCstat.MLarXiv:2106.03760v32021
Conditional molecular design with deep generative models
Seokho Kang, Kyunghyun Cho
cs.LGstat.MLarXiv:1805.00108v32018
Thompson Sampling for Complex Bandit Problems
Aditya Gopalan, Shie Mannor, Yishay Mansour
stat.MLcs.LGarXiv:1311.0466v12013
dna2vec: Consistent vector representations of variable-length k-mers
Patrick Ng
q-bio.QMcs.CLcs.LGarXiv:1701.06279v12017
Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach
Mehmet Necip Kurt, Oyetunji Ogundijo, Chong Li +1
cs.LGcs.CRstat.MLarXiv:1809.05258v12018
Data Fusion by Matrix Factorization
Marinka Žitnik, Blaž Zupan
cs.LGcs.AIcs.DBarXiv:1307.0803v22013
The impact of patient clinical information on automated skin cancer detection
Andre G. C. Pacheco, Renato A. Krohling
eess.IVcs.CVcs.LGarXiv:1909.12912v12019
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Yiqiu Shen, Nan Wu, Jason Phang +8
cs.CVcs.LGeess.IVarXiv:2002.07613v12020
Channel Gating Neural Networks
Weizhe Hua, Yuan Zhou, Christopher De Sa +2
cs.LGcs.CVstat.MLarXiv:1805.12549v22018
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
Boaz Barak, Benjamin L. Edelman, Surbhi Goel +3
cs.LGcs.NEmath.OCarXiv:2207.08799v32022
Universal Sound Separation
Ilya Kavalerov, Scott Wisdom, Hakan Erdogan +4
cs.SDcs.LGeess.ASarXiv:1905.03330v22019
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives
Zeyuan Allen-Zhu, Yang Yuan
cs.LGcs.DSmath.OCarXiv:1506.01972v32015
Provable Tensor Factorization with Missing Data
Prateek Jain, Sewoong Oh
stat.MLarXiv:1406.2784v12014
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov
stat.MLcs.LGarXiv:2003.14286v12020
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
Weiyu Cheng, Yanyan Shen, Linpeng Huang
cs.LGcs.AIcs.IRarXiv:1909.03276v22019
Distributionally Robust Language Modeling
Yonatan Oren, Shiori Sagawa, Tatsunori B. Hashimoto +1
cs.CLcs.LGstat.MLarXiv:1909.02060v12019
Robust Audio Adversarial Example for a Physical Attack
Hiromu Yakura, Jun Sakuma
cs.LGcs.CRcs.SDarXiv:1810.11793v42018
Latent Space Policies for Hierarchical Reinforcement Learning
Tuomas Haarnoja, Kristian Hartikainen, Pieter Abbeel +1
cs.LGcs.AIstat.MLarXiv:1804.02808v22018
HNHN: Hypergraph Networks with Hyperedge Neurons
Yihe Dong, Will Sawin, Yoshua Bengio
cs.LGstat.MLarXiv:2006.12278v12020
Adversarial Generation of Natural Language
Sai Rajeswar, Sandeep Subramanian, Francis Dutil +2
cs.CLcs.AIcs.NEarXiv:1705.10929v12017
Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit
Kevin Schawinski, Ce Zhang, Hantian Zhang +2
astro-ph.IMastro-ph.GAcs.LGarXiv:1702.00403v12017
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning
Guoqiang Zhong, Li-Na Wang, Junyu Dong
cs.LGstat.MLarXiv:1611.08331v12016
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee +6
q-bio.QMcs.LGstat.MLarXiv:2003.06516v22020
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
Krishna Chaitanya, Ertunc Erdil, Neerav Karani +1
cs.CVcs.AIcs.LGarXiv:2112.09645v12021
Count-Based Exploration with the Successor Representation
Marlos C. Machado, Marc G. Bellemare, Michael Bowling
cs.LGcs.AIstat.MLarXiv:1807.11622v42018
Understanding the Failure Modes of Out-of-Distribution Generalization
Vaishnavh Nagarajan, Anders Andreassen, Behnam Neyshabur
cs.LGcs.CVstat.MLarXiv:2010.15775v32020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu, Xiaolin Huang, Yudong Chen +1
stat.MLcs.LGarXiv:2004.11154v52020
Integrating Document Clustering and Topic Modeling
Pengtao Xie, Eric P. Xing
cs.LGcs.CLcs.IRarXiv:1309.6874v12013
Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression
Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
cs.CVcs.LGeess.IVarXiv:1903.08548v22019
Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers
Davide Albanese, Michele Filosi, Roberto Visintainer +3
stat.MLq-bio.QMarXiv:1208.4271v22012
How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Yoram Bachrach, Thore Graepel, Tom Minka +1
cs.LGcs.AIstat.MLarXiv:1206.6386v12012
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs
Lior Shani, Yonathan Efroni, Shie Mannor
cs.LGmath.OCstat.MLarXiv:1909.02769v22019
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
Bin Liu, Chenxu Zhu, Guilin Li +6
cs.LGcs.IRstat.MLarXiv:2003.11235v32020
Kymatio: Scattering Transforms in Python
Mathieu Andreux, Tomás Angles, Georgios Exarchakis +15
cs.LGcs.CVcs.SDarXiv:1812.11214v32018
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
Hongyan Chang, Virat Shejwalkar, Reza Shokri +1
stat.MLcs.CRcs.LGarXiv:1912.11279v12019
On Constrained Spectral Clustering and Its Applications
Xiang Wang, Buyue Qian, Ian Davidson
cs.LGstat.MLarXiv:1201.5338v22012
Mining gold from implicit models to improve likelihood-free inference
Johann Brehmer, Gilles Louppe, Juan Pavez +1
stat.MLcs.LGhep-pharXiv:1805.12244v42018
Model Reconstruction from Model Explanations
Smitha Milli, Ludwig Schmidt, Anca D. Dragan +1
stat.MLcs.LGarXiv:1807.05185v12018
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
Jonathan Hayase, Weihao Kong, Raghav Somani +1
cs.LGcs.AIstat.MLarXiv:2104.11315v12021
More Adaptive Algorithms for Adversarial Bandits
Chen-Yu Wei, Haipeng Luo
cs.LGstat.MLarXiv:1801.03265v32018
Transferability and Hardness of Supervised Classification Tasks
Anh T. Tran, Cuong V. Nguyen, Tal Hassner
cs.LGcs.CVstat.MLarXiv:1908.08142v12019
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware
Abdullah Al-Dujaili, Alex Huang, Erik Hemberg +1
cs.CRcs.LGstat.MLarXiv:1801.02950v32018
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Dan Levi, Liran Gispan, Niv Giladi +1
cs.LGstat.MLarXiv:1905.11659v32019
BAFFLE : Blockchain Based Aggregator Free Federated Learning
Paritosh Ramanan, Kiyoshi Nakayama
cs.LGcs.CRcs.DCarXiv:1909.07452v32019
Reasoning About Generalization via Conditional Mutual Information
Thomas Steinke, Lydia Zakynthinou
cs.LGcs.CRcs.DSarXiv:2001.09122v32020
Deep Learning for Survival Analysis: A Review
Simon Wiegrebe, Philipp Kopper, Raphael Sonabend +2
stat.MLcs.LGarXiv:2305.14961v42023
Reinforcement Learning from Imperfect Demonstrations
Yang Gao, Huazhe Xu, Ji Lin +3
cs.AIcs.LGstat.MLarXiv:1802.05313v22018
Raw Waveform-based Speech Enhancement by Fully Convolutional Networks
Szu-Wei Fu, Yu Tsao, Xugang Lu +1
stat.MLcs.LGcs.SDarXiv:1703.02205v32017
Generative Models for Effective ML on Private, Decentralized Datasets
Sean Augenstein, H. Brendan McMahan, Daniel Ramage +5
cs.LGstat.MLarXiv:1911.06679v22019
What Algorithms can Transformers Learn? A Study in Length Generalization
Hattie Zhou, Arwen Bradley, Etai Littwin +5
cs.LGcs.AIcs.CLarXiv:2310.16028v12023
Entity Abstraction in Visual Model-Based Reinforcement Learning
Rishi Veerapaneni, John D. Co-Reyes, Michael Chang +5
cs.LGcs.CVcs.NEarXiv:1910.12827v52019
Convergence of score-based generative modeling for general data distributions
Holden Lee, Jianfeng Lu, Yixin Tan
cs.LGmath.PRmath.STarXiv:2209.12381v22022

Machine Learning (stat)

Efficient Algorithms for Smooth Minimax Optimization

Offline RL Without Off-Policy Evaluation

Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game

LassoNet: A Neural Network with Feature Sparsity

Graph Convolutional Matrix Completion

DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations

The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics

One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency

DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning

Conditional molecular design with deep generative models

Thompson Sampling for Complex Bandit Problems

dna2vec: Consistent vector representations of variable-length k-mers

Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach

Data Fusion by Matrix Factorization

The impact of patient clinical information on automated skin cancer detection

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Channel Gating Neural Networks

Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Universal Sound Separation

Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives

Provable Tensor Factorization with Missing Data

Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence

Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions

Distributionally Robust Language Modeling

Robust Audio Adversarial Example for a Physical Attack

Latent Space Policies for Hierarchical Reinforcement Learning

HNHN: Hypergraph Networks with Hyperedge Neurons

Adversarial Generation of Natural Language

Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit

An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning

Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale

Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation

Count-Based Exploration with the Successor Representation

Understanding the Failure Modes of Out-of-Distribution Generalization

Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond

Integrating Document Clustering and Topic Modeling

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression

Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers

How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

Kymatio: Scattering Transforms in Python

Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer

On Constrained Spectral Clustering and Its Applications

Mining gold from implicit models to improve likelihood-free inference

Model Reconstruction from Model Explanations

SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics

More Adaptive Algorithms for Adversarial Bandits

Transferability and Hardness of Supervised Classification Tasks

Adversarial Deep Learning for Robust Detection of Binary Encoded Malware

Evaluating and Calibrating Uncertainty Prediction in Regression Tasks

BAFFLE : Blockchain Based Aggregator Free Federated Learning

Reasoning About Generalization via Conditional Mutual Information

Deep Learning for Survival Analysis: A Review

Reinforcement Learning from Imperfect Demonstrations

Raw Waveform-based Speech Enhancement by Fully Convolutional Networks

Generative Models for Effective ML on Private, Decentralized Datasets

What Algorithms can Transformers Learn? A Study in Length Generalization

Entity Abstraction in Visual Model-Based Reinforcement Learning

Convergence of score-based generative modeling for general data distributions