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【其他】

统计学学术速递[01.19]

角动量 2021/1/19 579
【1】 Estimating causes of maternal death in data-sparse contexts
标题:在数据稀疏的情况下估计孕产妇死亡原因
作者:Monica Alexander,Michael Y. C. Chong,Marija Pejcinovska
链接:https://arxiv.org/abs/2101.05240

【2】 On Misspecification in Prediction Problems and Robustness via Improper Learning
标题:预测问题中的误指定与非正当学习的稳健性
作者:John Duchi,Annie Marsden,Gregory Valiant
机构:Gregory valiantt, Stanford University
备注:28 pages, 6 figures
链接:https://arxiv.org/abs/2101.05234

【3】 PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models
标题:马尔可夫模型变分回火后验概率的PAC-Bayes界
作者:Imon Banerjee,Vinayak A. Rao,Harsha Honnappa
备注:14 pages main, 24 pages appendix and citations
链接:https://arxiv.org/abs/2101.05197

【4】 A Latent Variable Model for Relational Events with Multiple Receivers
标题:具有多个接收者的关系事件的潜变量模型
作者:Joris Mulder,Peter D. Hoff
备注:14 pages, 6 figures
链接:https://arxiv.org/abs/2101.05135

【5】 Multiscale regression on unknown manifolds
标题:未知流形上的多尺度回归
作者:Wenjing Liao,Mauro Maggioni,Stefano Vigogna
机构:Georgia Institute of Technology, Atlanta, GA , USA, MAUROMAGGIONIJHUQICLOUD.COM, Mathematical Institute of Data Science, Johns Hopkins University, Baltimore, MD , USA, VIGOGNAQDIBIRS.UNIGE.IT, MalGa Center, Robotics and Systems Engineering, University of Genova, Genova, Italy
链接:https://arxiv.org/abs/2101.05119

【6】 Maximum likelihood estimation for spinal-structured trees
标题:脊柱结构树的极大似然估计
作者:Romain Azaïs,Benoît Henry
备注:27 pages
链接:https://arxiv.org/abs/2101.05099

【7】 Concurrent Object Regression
标题:并发对象回归
作者:Satarupa Bhattacharjee,Hans-Georg Mueller
机构:University of California, Davis, Davis, CA , U.S., (For the Alzheimer's Disease Neuroimaging Initiative,), December 
链接:https://arxiv.org/abs/2101.05026

【8】 Learning with Gradient Descent and Weakly Convex Losses
标题:具有梯度下降和弱凸损失的学习
作者:Dominic Richards,Mike Rabbat
机构:January 
链接:https://arxiv.org/abs/2101.04968

【9】 Multivariate phase-type theory for the site frequency spectrum
标题:场地频谱的多元相型理论
作者:Asger Hobolth,Mogens Bladt,Lars Nørvang Andersen
机构:University of Copenhagen. Email: bladt math. ku.dk, January 
链接:https://arxiv.org/abs/2101.04941

【10】 Enriched standard conjugate priors and the right invariant prior for Wishart distributions
标题:Wishart分布的丰富标准共轭先验和右不变先验
作者:Hidemasa Oda,Fumiyasu Komaki
链接:https://arxiv.org/abs/2101.04919

【11】 The l1-l2 minimization with rotation for sparse approximation in uncertainty quantification
标题:不确定性量化稀疏逼近的旋转L1-L2极小化
作者:Mengqi Hu,Yifei Lou,Xiu Yang
机构: University of Texas Dallas, Richardson, TX, us, Lehigh University, PA , USA
链接:https://arxiv.org/abs/2101.04890

【12】 Group Linear non-Gaussian Component Analysis with Applications to Neuroimaging
标题:群线性非高斯分量分析及其在神经成像中的应用
作者:Yuxuan Zhao,David S. Matteson,Mary Beth Nebel,Stewart H. Mostofsky,Benjamin Risk
机构:Benjamin riske, Cornell University, Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Emory University
链接:https://arxiv.org/abs/2101.04809

【13】 Exact Multivariate Two-Sample Density-Based Empirical Likelihood Ratio Tests Applicable to Retrospective and Group Sequential Studies
标题:适用于回顾性和分组序贯研究的精确多元两样本密度经验似然比检验
作者:Ablert Vexler,Gregory Gurevich,Li Zou
机构:The State University of New York at Buffalo, Buffalo, NY , sce- Shamoon College of Engineering, Ashdod, Israel, East Bay, Hayward, CA, U.S.A
链接:https://arxiv.org/abs/2101.04805

【14】 Graph Filtering for Improving the Accuracy of Classification problems
标题:用图滤波提高分类问题的准确率
作者:Mounia Hamidouche,Carlos Lassance,Yuqing Hu,Lucas Drumetz,Bastien Pasdeloup,Vincent Gripon
链接:https://arxiv.org/abs/2101.04789

【15】 Variable bandwidth kernel regression estimation
标题:变带宽核回归估计
作者:Janet Nakarmi,Hailin Sang,Lin Ge
机构:University of Central Arkansas, Conway, AR, The University of Mississippi, University, MS, c Division of Arts and Sciences, Mississippi State University at Meridian
备注:accepted by ESAIM: PS. 36 pages, 3 figures
链接:https://arxiv.org/abs/2101.04783

【16】 Decision Support for COVID-19 Policy Including Poverty Drivers
标题:包括贫困驱动因素在内的冠状病毒政策决策支持
作者:Peter Strong,Aditi Shenvi,Xuewen Yu,K. Nadia Papamichail,Henry P Wynn,Jim Q Smith
机构:Xuewen. Yu warwick. ac.uk, Jim Smith ts, January 
备注:26 pages including supplementary material
链接:https://arxiv.org/abs/2101.04774

【17】 A multivariate extension of the Lorenz curve based on copulas and a related multivariate Gini coefficient
标题:基于Copula和相关多元基尼系数的Lorenz曲线的多元推广
作者:Oliver Grothe,Fabian Kächele,Friedrich Schmid
机构:Fabian Kachele, Karlsruher Institut fur Technologie(KIT), IOR-Analytics and Statistics, Ruppurer Str. ,a, Haus B, Ruppurer Str. la, Haus B, D-, Karlsruhe., Universitat zu Koln, Institut fur Okonometrie und Statistik, Albertus-Magnus-Platz, D-, Koln, January 
备注:17 pages,5 figures
链接:https://arxiv.org/abs/2101.04748

【18】 A unified framework for correlation mining in ultra-high dimension
标题:一种超高维关联挖掘的统一框架
作者:Alfred O. Hero,Bala Rajaratnam,Yun Wei
机构:January 
备注:84 pages, 9 figures
链接:https://arxiv.org/abs/2101.04715

【19】 Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
标题:强化学习中用于泛化的对比行为相似嵌入
作者:Rishabh Agarwal,Marlos C. Machado,Pablo Samuel Castro,Marc G. Bellemare
机构:Google Research, Brain Team
备注:Accepted at ICLR 2021 (Spotlight). Website: this https URL
链接:https://arxiv.org/abs/2101.05265

【20】 Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
标题:用梯度下降法求解隐含结构的Min-Max优化问题
作者:Lampros Flokas,Emmanouil-Vasileios Vlatakis-Gkaragkounis,Georgios Piliouras
机构:Emmanouil. Vlatakis-Gkaragkounis, Columbia University, New York, NY , Engineering Systems and Design, Singapore University of Technology and Design, January 
链接:https://arxiv.org/abs/2101.05248

【21】 Denoising Score Matching with Random Fourier Features
标题:基于随机傅立叶特征的分数匹配去噪
作者:Tsimboy Olga,Yermek Kapushev,Evgeny Burnaev,Ivan Oseledets
机构:a Skolkovo Institute of Science and Technology, Bolshoy Boulevard , bld. , Moscow, Russia
链接:https://arxiv.org/abs/2101.05239

【22】 Optimisation of Spectral Wavelets for Persistence-based Graph Classification
标题:基于持久化的图分类中谱小波的优化
作者:Ka Man Yim,Jacob Leygonie
链接:https://arxiv.org/abs/2101.05201

【23】 MC-LSTM: Mass-Conserving LSTM
标题:MC-LSTM:质量守恒LSTM
作者:Pieter-Jan Hoedt,Frederik Kratzert,Daniel Klotz,Christina Halmich,Markus Holzleitner,Grey Nearing,Sepp Hochreiter,Günter Klambauer
机构:ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria, Google Research, Mountain View, CA USA, S Institute of Advanced Research in Artificial Intelligence (IARAD)
备注:14 pages (9 without references) + 18 pages appendix
链接:https://arxiv.org/abs/2101.05186

【24】 CobBO: Coordinate Backoff Bayesian Optimization
标题:COBBO:协调退避贝叶斯优化
作者:Jian Tan,Niv Nayman,Mengchang Wang,Rong Jin
机构:j.tan, niv.nayman, mengchang.wmc, jinrong.jr
链接:https://arxiv.org/abs/2101.05147

【25】 Certifiable Risk-Based Engineering Design Optimization
标题:基于可认证风险的工程设计优化
作者:Anirban Chaudhuri,Boris Kramer,Matthew Norton,Johannes O. Royset,Karen Willcox
机构:University of California San Diego, CA, USA, Naval Postgraduate School, Monterey, CA, USA, Karen E. Willcox, University of Texas at Austin, Austin, TX, USA
链接:https://arxiv.org/abs/2101.05129

【26】 Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing
标题:超越Procrstes:非对称低秩矩阵传感的无平衡梯度下降
作者:Cong Ma,Yuanxin Li,Yuejie Chi
机构:University of California, Berkeley Carnegie Mellon University
备注:To appear on IEEE Trans. on Signal Processing
链接:https://arxiv.org/abs/2101.05113

【27】 Fast convolutional neural networks on FPGAs with hls4ml
标题:用hls4ml实现FPGA的快速卷积神经网络
作者:Thea Aarrestad,Vladimir Loncar,Maurizio Pierini,Sioni Summers,Jennifer Ngadiuba,Christoffer Petersson,Hampus Linander,Yutaro Iiyama,Giuseppe Di Guglielmo,Javier Duarte,Philip Harris,Dylan Rankin,Sergo Jindariani,Kevin Pedro,Nhan Tran,Mia Liu,Edward Kreinar,Zhenbin Wu,Duc Hoang
机构:European Organization for Nuclear Research(CERN), California Institute of Technology, CH-, Geneva , Switzerland, Pasadena, CA , USA, Yutaro liyama, Zenseact, ICEPP, University of ** Columbia University, New York, Gothenburg, Sweden, **, Japan, NY , USA, University of California San Diego, Massachusetts Institute of Technology, La Jolla, CA , USA, Cambridge, MA , USA, Fermi National Accelerator Laboratory, Purdue University, HawkEye, Batavia, IL , USA, West Lafayette,in, USA Herndon,va,usa
备注:18 pages, 16 figures, 3 tables
链接:https://arxiv.org/abs/2101.05108

【28】 Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
标题:深部目标探测器回归预测不确定性的估计与评估
作者:Ali Harakeh,Steven L. Waslander
机构:Institute for Aerospace Studies, University Of Toronto
备注:To appear in ICLR 2021
链接:https://arxiv.org/abs/2101.05036

【29】 Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms
标题:基于多维自适应直方图的离散-连续混合物条件互信息估计
作者:Alexander Marx,Lincen Yang,Matthijs van Leeuwen
备注:Extended version including supplementary material for main paper which is (will be) published in: Proceedings of the SIAM International Conference on Data Mining (SDM'21)
链接:https://arxiv.org/abs/2101.05009

【30】 Unlearnable Examples: Making Personal Data Unexploitable
标题:无法学习的例子:使个人数据无法利用
作者:Hanxun Huang,Xingjun Ma,Sarah Monazam Erfani,James Bailey,Yisen Wang
机构:IThe University of Melbourne, Victoria, Australia, Deakin University, Geelong, Victoria, Australia, Peking University, Beijing, China
备注:ICLR2021 Spotlight
链接:https://arxiv.org/abs/2101.04898

【31】 Linear Representation Meta-Reinforcement Learning for Instant Adaptation
标题:用于即时自适应的线性表示元强化学习
作者:Matt Peng,Banghua Zhu,Jiantao Jiao
链接:https://arxiv.org/abs/2101.04750

【32】 Model-Based Machine Learning for Communications
标题:基于模型的机器学习在通信中的应用
作者:Nir Shlezinger,Nariman Farsad,Yonina C. Eldar,Andrea J. Goldsmith
机构:smith
备注:arXiv admin note: text overlap with arXiv:2002.07806
链接:https://arxiv.org/abs/2101.04726


回复5

2021/1/19 15:59

很棒的分享,支持一下

@Wu
0 0
2021/1/19 16:07

MARK 一下,请问又源文档么?

Jack20
0 0
2021/1/19 20:46

感谢分享

2021/1/30 19:18

mark一下

2021/1/30 19:18

学习一下

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[其他] 统计学学术速递[01.19]

【1】 Estimating causes of maternal death in data-sparse contexts
标题:在数据稀疏的情况下估计孕产妇死亡原因
作者:Monica Alexander,Michael Y. C. Chong,Marija Pejcinovska
链接:https://arxiv.org/abs/2101.05240

【2】 On Misspecification in Prediction Problems and Robustness via Improper Learning
标题:预测问题中的误指定与非正当学习的稳健性
作者:John Duchi,Annie Marsden,Gregory Valiant
机构:Gregory valiantt, Stanford University
备注:28 pages, 6 figures
链接:https://arxiv.org/abs/2101.05234

【3】 PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models
标题:马尔可夫模型变分回火后验概率的PAC-Bayes界
作者:Imon Banerjee,Vinayak A. Rao,Harsha Honnappa
备注:14 pages main, 24 pages appendix and citations
链接:https://arxiv.org/abs/2101.05197

【4】 A Latent Variable Model for Relational Events with Multiple Receivers
标题:具有多个接收者的关系事件的潜变量模型
作者:Joris Mulder,Peter D. Hoff
备注:14 pages, 6 figures
链接:https://arxiv.org/abs/2101.05135

【5】 Multiscale regression on unknown manifolds
标题:未知流形上的多尺度回归
作者:Wenjing Liao,Mauro Maggioni,Stefano Vigogna
机构:Georgia Institute of Technology, Atlanta, GA , USA, MAUROMAGGIONIJHUQICLOUD.COM, Mathematical Institute of Data Science, Johns Hopkins University, Baltimore, MD , USA, VIGOGNAQDIBIRS.UNIGE.IT, MalGa Center, Robotics and Systems Engineering, University of Genova, Genova, Italy
链接:https://arxiv.org/abs/2101.05119

【6】 Maximum likelihood estimation for spinal-structured trees
标题:脊柱结构树的极大似然估计
作者:Romain Azaïs,Benoît Henry
备注:27 pages
链接:https://arxiv.org/abs/2101.05099

【7】 Concurrent Object Regression
标题:并发对象回归
作者:Satarupa Bhattacharjee,Hans-Georg Mueller
机构:University of California, Davis, Davis, CA , U.S., (For the Alzheimer's Disease Neuroimaging Initiative,), December 
链接:https://arxiv.org/abs/2101.05026

【8】 Learning with Gradient Descent and Weakly Convex Losses
标题:具有梯度下降和弱凸损失的学习
作者:Dominic Richards,Mike Rabbat
机构:January 
链接:https://arxiv.org/abs/2101.04968

【9】 Multivariate phase-type theory for the site frequency spectrum
标题:场地频谱的多元相型理论
作者:Asger Hobolth,Mogens Bladt,Lars Nørvang Andersen
机构:University of Copenhagen. Email: bladt math. ku.dk, January 
链接:https://arxiv.org/abs/2101.04941

【10】 Enriched standard conjugate priors and the right invariant prior for Wishart distributions
标题:Wishart分布的丰富标准共轭先验和右不变先验
作者:Hidemasa Oda,Fumiyasu Komaki
链接:https://arxiv.org/abs/2101.04919

【11】 The l1-l2 minimization with rotation for sparse approximation in uncertainty quantification
标题:不确定性量化稀疏逼近的旋转L1-L2极小化
作者:Mengqi Hu,Yifei Lou,Xiu Yang
机构: University of Texas Dallas, Richardson, TX, us, Lehigh University, PA , USA
链接:https://arxiv.org/abs/2101.04890

【12】 Group Linear non-Gaussian Component Analysis with Applications to Neuroimaging
标题:群线性非高斯分量分析及其在神经成像中的应用
作者:Yuxuan Zhao,David S. Matteson,Mary Beth Nebel,Stewart H. Mostofsky,Benjamin Risk
机构:Benjamin riske, Cornell University, Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Emory University
链接:https://arxiv.org/abs/2101.04809

【13】 Exact Multivariate Two-Sample Density-Based Empirical Likelihood Ratio Tests Applicable to Retrospective and Group Sequential Studies
标题:适用于回顾性和分组序贯研究的精确多元两样本密度经验似然比检验
作者:Ablert Vexler,Gregory Gurevich,Li Zou
机构:The State University of New York at Buffalo, Buffalo, NY , sce- Shamoon College of Engineering, Ashdod, Israel, East Bay, Hayward, CA, U.S.A
链接:https://arxiv.org/abs/2101.04805

【14】 Graph Filtering for Improving the Accuracy of Classification problems
标题:用图滤波提高分类问题的准确率
作者:Mounia Hamidouche,Carlos Lassance,Yuqing Hu,Lucas Drumetz,Bastien Pasdeloup,Vincent Gripon
链接:https://arxiv.org/abs/2101.04789

【15】 Variable bandwidth kernel regression estimation