统计学每日论文速递[06.15]

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stat 方向,今日共计164篇

【1】 Uncertainty quantification using martingales for misspecified Gaussian processes
标题:用鞅对错误指定的高斯过程进行不确定性量化
作者: Willie Neiswanger, Aaditya Ramdas
链接:arxiv.org/abs/2006.0736

【2】 Implicit bias of gradient descent for mean squared error regression with wide neural networks
标题:宽神经网络均方误差回归中梯度下降的隐式偏差
作者: Hui Jin, Guido Montúfar
备注:45 pages, 9 figures, submitted to NeurIPS 2020
链接:arxiv.org/abs/2006.0735

【3】 Weston-Watkins Hinge Loss and Ordered Partitions
标题:Weston-Watkins铰链损失与有序分区
作者: Yutong Wang, Clayton D. Scott
链接:arxiv.org/abs/2006.0734

【4】 Targeting Learning: Robust Statistics for Reproducible Research
标题:目标学习:可重复性研究的稳健统计
作者: Jeremy R. Coyle, Mark J. van der Laan
链接:arxiv.org/abs/2006.0733

【5】 Learning from Label Proportions: A Mutual Contamination Framework
标题:从标签比例中学习:相互污染框架
作者: Clayton Scott, Jianxin Zhang
链接:arxiv.org/abs/2006.0733

【6】 Reservoir Computing meets Recurrent Kernels and Structured Transforms
标题:油藏计算满足递归核和结构化变换
作者: Jonathan Dong, Florent Krzakala
链接:arxiv.org/abs/2006.0731

【7】 Reflection on modern methods: Good practices for applied statistical learning in epidemiology
标题:现代方法的反思:流行病学应用统计学习的良好做法
作者: Yanelli Nunez, Marianthi-Anna Kioumourtzoglou
备注:19 pages, 5 figures, 1 table. For associated code, visit this https URL
链接:arxiv.org/abs/2006.0730

【8】 Detecting relevant differences in the covariance operators of functional time series -- a sup-norm approach
标题:检测函数时间序列协方差算子的相关差异-超范数方法
作者: Holger Dette, Kevin Kokot
链接:arxiv.org/abs/2006.0729

【9】 Fair Regression with Wasserstein Barycenters
标题:Wasserstein Barycenter的公平回归
作者: Evgenii Chzhen, Massimiliano Pontil
链接:arxiv.org/abs/2006.0728

【10】 PAC-Bayes unleashed: generalisation bounds with unbounded losses
标题:PAC-Bayes释放:具有无限损失的泛化边界
作者: Maxime Haddouche, John Shawe-Taylor
链接:arxiv.org/abs/2006.0727

【11】 Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation
标题:处理最优运输中的多个成本:强对偶和高效计算
作者: Meyer Scetbon, Marco Cuturi
链接:arxiv.org/abs/2006.0726

【12】 Change points in the spread of COVID-19 question the effectiveness of interventions in Germany
标题:COVID-19传播的变化点质疑德国干预措施的有效性
作者: Thomas Wieland
链接:arxiv.org/abs/2006.0720

【13】 Identification of Dominant Features in Spatial Data
标题:空间数据中显性特征的识别
作者: Roman Flury, Reinhard Furrer
链接:arxiv.org/abs/2006.0718

【14】 Fourier Analysis and Benford Random Variables
标题:傅立叶分析与Benford随机变量
作者: Frank Benford
链接:arxiv.org/abs/2006.0713

【15】 Tight Approximate Differential Privacy for Discrete-Valued Mechanisms Using FFT
标题:基于FFT的离散值机构的严格近似微分隐私
作者: Antti Koskela, Antti Honkela
链接:arxiv.org/abs/2006.0713

【16】 On weak conditional convergence of bivariate Archimedean and Extreme Value copulas, and consequences to nonparametric estimation
标题:二元阿基米德和极值Copula的弱条件收敛性及其对非参数估计的影响
作者: Thimo M. Kasper, Wolfgang Trutschnig
链接:arxiv.org/abs/2006.0713

【17】 Simulating Tariff Impact in Electrical Energy Consumption Profiles with Conditional Variational Autoencoders
标题:用条件变分自动编码器模拟电能消耗曲线中的电价影响
作者: Margaux Brégère, Ricardo J. Bessa
链接:arxiv.org/abs/2006.0711

【18】 Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model
标题:使用贝叶斯分层时间序列混合模型对出生性别比和失踪女性出生的全局估计和基于场景的预测
作者: Fengqing Chao, Leontine Alkema
链接:arxiv.org/abs/2006.0710

【19】 Seemingly Unrelated Regression with Measurement Error: Estimation via Markov chain Monte Carlo and Mean Field Variational Bayes Approximation
标题:带有测量误差的表面无关回归:马尔可夫链蒙特卡罗和平均场变分贝叶斯近似估计
作者: Georges Bresson, Shalabh
链接:arxiv.org/abs/2006.0707

【20】 Linear Time Sinkhorn Divergences using Positive Features
标题:利用正特征的线性时间Sinkhorn发散
作者: Meyer Scetbon, Marco Cuturi
链接:arxiv.org/abs/2006.0705

【21】 Bayesian Predictive Density Estimation for a Chi-squared Model Using Information from a Normal Observation with Unknown Mean and Variance
标题:利用均值和方差未知的正态观测信息的卡方模型的贝叶斯预测密度估计
作者: Yasuyuki Hamura, Tatsuya Kubokawa
链接:arxiv.org/abs/2006.0705

【22】 Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch
标题:状态-行为维度失配下基于互信息的知识转移
作者: Michael Wan, Jian Peng
备注:Conference on Uncertainty in Artificial Intelligence (UAI 2020)
链接:arxiv.org/abs/2006.0704

【23】 Learning Decomposed Representation for Counterfactual Inference
标题:学习反事实推理的分解表示
作者: Anpeng Wu, Fei Wu
链接:arxiv.org/abs/2006.0704

【24】 Approximate Inference for Spectral Mixture Kernel
标题:谱混合核的近似推断
作者: Yohan Jung, Jinkyoo Park
链接:arxiv.org/abs/2006.0703

【25】 Random forest estimation of conditional distribution functions and conditional quantiles
标题:条件分布函数和条件分位数的随机森林估计
作者: Kevin Elie-Dit-Cosaque (PSPM, PSPM)
链接:arxiv.org/abs/2006.0699

【26】 Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales
标题:基于Bandit算法的相依样本非策略评估的置信区间:来自标准化鞅的方法
作者: Masahiro Kato
链接:arxiv.org/abs/2006.0698

【27】 Generalized Weighted Survival and Failure Entropies and their Dynamic Versions
标题:广义加权生存和失效熵及其动态形式
作者: Siddhartha Chakraborty, Biswabrata Pradhan
链接:arxiv.org/abs/2006.0697

【28】 Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC
标题:用神经传输MCMC学习基于流的主干能量模型
作者: Erik Nijkamp, Ying Nian Wu
链接:arxiv.org/abs/2006.0689

【29】 Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks
标题:重新引入直通估计器作为随机二进制网络的原理方法
作者: Viktor Yanush, Dmitry Vetrov
链接:arxiv.org/abs/2006.0688

【30】 Adaptive Sampling to Reduce Disparate Performance
标题:自适应采样以降低不同的性能
作者: Jacob Abernethy, Jie Zhang
链接:arxiv.org/abs/2006.0687

【31】 Nonrigid registration using Gaussian processes and local likelihood estimation
标题:基于高斯过程和局部似然估计的非刚性配准
作者: Ashton Wiens, Katherine R. Barnhart
链接:arxiv.org/abs/2006.0686

【32】 Getting a CLUE: A Method for Explaining Uncertainty Estimates
标题:获得线索:一种解释不确定度估计的方法
作者: Javier Antorán, José Miguel Hernández-Lobato
链接:arxiv.org/abs/2006.0684

【33】 Robust Optimization and Inference on Manifolds
标题:流形上的鲁棒优化与推理
作者: Lizhen Lin, David B. Dunson
链接:arxiv.org/abs/2006.0684

【34】 Quasi-independence models with rational maximum likelihood estimates
标题:有理极大似然估计的拟独立模型
作者: Jane Ivy Coons, Seth Sullivant
链接:arxiv.org/abs/2006.0683

【35】 A flexible parametric accelerated failure time model
标题:柔性参数化加速失效时间模型
作者: Michael J. Crowther, Mark Clements
链接:arxiv.org/abs/2006.0680

【36】 Query Training: Learning and inference for directed and undirected graphical models
标题:查询训练:有向和无向图形模型的学习和推理
作者: Miguel Lázaro-Gredilla, Dileep George
链接:arxiv.org/abs/2006.0680

【37】 Best-Arm Identification for Quantile Bandits with Privacy
标题:具有隐私的分位数Bandits的最佳臂识别
作者: Dionysios S. Kalogerias, Or Sheffet
链接:arxiv.org/abs/2006.0679

【38】 Conditional Sampling With Monotone GANs
标题:单调Gans条件抽样
作者: Nikola Kovachki, Youssef Marzouk
链接:arxiv.org/abs/2006.0675

【39】 A Bayesian response-adaptive dose finding and comparative effectiveness trial
标题:贝叶斯反应适应性剂量发现和比较有效性试验
作者: Anna Heath, Eleanor Pullenayegum
链接:arxiv.org/abs/2006.0673

【40】 Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis
标题:用于敏捷人类行为模仿和扩展运动合成的残余力控制
作者: Ye Yuan, Kris Kitani
链接:arxiv.org/abs/2006.0736

【41】 Analysis, Design, and Generalization of Electrochemical Impedance Spectroscopy (EIS) Inversion Algorithms
标题:电化学阻抗谱(EIS)反演算法的分析、设计和推广
作者: Surya Effendy, Martin Z. Bazant
链接:arxiv.org/abs/2006.0736

【42】 Stochastic Gradient Langevin with Delayed Gradients
标题:具有延迟梯度的随机梯度Langevin
作者: Vyacheslav Kungurtsev, Dan Alistarh
链接:arxiv.org/abs/2006.0736

【43】 Gaussian Processes on Graphs via Spectral Kernel Learning
标题:基于谱核学习的图上的高斯过程
作者: Yin-Cong Zhi, Xiaowen Dong
链接:arxiv.org/abs/2006.0736

【44】 AlgebraNets
标题:代数网
作者: Jordan Hoffmann, Erich Elsen
链接:arxiv.org/abs/2006.0736

【45】 Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech
标题:自然语言处理技术在自发语音中预测阿尔茨海默病的比较
作者: Thomas Searle, Richard Dobson
备注:Submitted to INTERSPEECH 2020: Alzheimer's Dementia Recognition through Spontaneous Speech The ADReSS Challenge Workshop
链接:arxiv.org/abs/2006.0735

【46】 Using Reinforcement Learning to Allocate and Manage Service Function Chains in Cellular Networks
标题:利用强化学习分配和管理蜂窝网络中的业务功能链
作者: Guto Leoni Santos, Patricia Takako Endo
链接:arxiv.org/abs/2006.0734

【47】 Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset
标题:MIMIC-III临床编码数据集银标的实验评价和开发
作者: Thomas Searle, Richard JB Dobson
链接:arxiv.org/abs/2006.0733

【48】 Generalized Multi-Relational Graph Convolution Network
标题:广义多关系图卷积网络
作者: Donghan Yu, Yuexin Wu
链接:arxiv.org/abs/2006.0733

【49】 CPR: Classifier-Projection Regularization for Continual Learning
标题:CPR:用于持续学习的分类器-投影正则化
作者: Sungmin Cha, Taesup Moon
链接:arxiv.org/abs/2006.0732

【50】 Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks
标题:分类任务中用平方损失与交叉熵训练的神经结构的评价
作者: Like Hui, Mikhail Belkin
链接:arxiv.org/abs/2006.0732

【51】 Fairness in Forecasting and Learning Linear Dynamical Systems
标题:预测和学习线性动力系统的公平性
作者: Quan Zhou, Robert N. Shorten
备注:21 pages, 4 figures
链接:arxiv.org/abs/2006.0731

【52】 Zeroth-order Deterministic Policy Gradient
标题:零阶确定性策略梯度
作者: Harshat Kumar, Alejandro Ribeiro
链接:arxiv.org/abs/2006.0731

【53】 Algorithms and Learning for Fair Portfolio Design
标题:公平投资组合设计的算法和学习
作者: Emily Diana, Juba Ziani
链接:arxiv.org/abs/2006.0728

【54】 FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction
标题:FILL:通过陈旧意识和性能预测的在线联合学习
作者: Georgios Damaskinos, Francois Taiani
链接:arxiv.org/abs/2006.0727

【55】 Differentially Private Stochastic Coordinate Descent
标题:差分私有随机坐标下降
作者: Georgios Damaskinos, Thomas Parnell
链接:arxiv.org/abs/2006.0727

【56】 Dataset-Level Attribute Leakage in Collaborative Learning
标题:协同学习中的数据集级属性泄漏
作者: Wanrong Zhang, Olga Ohrimenko
链接:arxiv.org/abs/2006.0726

【57】 A Brief Look at Generalization in Visual Meta-Reinforcement Learning
标题:浅谈视觉元强化学习中的泛化
作者: Safa Alver, Doina Precup
链接:arxiv.org/abs/2006.0726

【58】 D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack
标题:D-Square-B:自然对抗性攻击的深度分布界限
作者: Qiuling Xu, Xiangyu Zhang
链接:arxiv.org/abs/2006.0725

【59】 Dynamic Model Pruning with Feedback
标题:带反馈的动态模型剪枝
作者: Tao Lin, Martin Jaggi
备注:appearing at ICLR 2020
链接:arxiv.org/abs/2006.0725

【60】 Ensemble Distillation for Robust Model Fusion in Federated Learning
标题:联邦学习中用于鲁棒模型融合的集成精馏
作者: Tao Lin, Martin Jaggi
链接:arxiv.org/abs/2006.0724

【61】 Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate
标题:在模拟神经形态基底上用替代梯度训练尖峰多层网络
作者: Benjamin Cramer, Friedemann Zenke
链接:arxiv.org/abs/2006.0723

【62】 Power Consumption Variation over Activation Functions
标题:激活函数的功耗变化
作者: Leon Derczynski
链接:arxiv.org/abs/2006.0723

【63】 A Practical Sparse Approximation for Real Time Recurrent Learning
标题:一种实用的稀疏逼近实时递归学习
作者: Jacob Menick, Alex Graves
链接:arxiv.org/abs/2006.0723

【64】 FedGAN: Federated Generative AdversarialNetworks for Distributed Data
标题:FedGAN:分布式数据的联邦生成广告网络
作者: Mohammad Rasouli, Ram Rajagopal
链接:arxiv.org/abs/2006.0722

【65】 On Second Order Behaviour in Augmented Neural ODEs
标题:关于增广神经元常数的二阶行为
作者: Alexander Norcliffe, Pietro Liò
链接:arxiv.org/abs/2006.0722

【66】 Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties
标题:具有改进的效用和对恶意方的健壮性的分布式差分私有平均
作者: César Sabater, Jan Ramon
链接:arxiv.org/abs/2006.0721

【67】 Deep Reinforcement and InfoMax Learning
标题:深度强化与Infomax学习
作者: Bogdan Mazoure, R Devon Hjelm
链接:arxiv.org/abs/2006.0721

【68】 Sparse and Continuous Attention Mechanisms
标题:稀疏和连续注意机制
作者: André F. T. Martins, Pedro M. Q. Aguiar
链接:arxiv.org/abs/2006.0721

【69】 Task-similarity Aware Meta-learning through Nonparametric Kernel Regression
标题:基于非参数核回归的任务相似性感知元学习
作者: Arun Venkitaraman, Bo Wahlberg
链接:arxiv.org/abs/2006.0721

【70】 Minimax Estimation of Conditional Moment Models
标题:条件矩模型的极小极大估计
作者: Nishanth Dikkala, Vasilis Syrgkanis
链接:arxiv.org/abs/2006.0720

【71】 Learning to Communicate Using Counterfactual Reasoning
标题:学习使用反事实推理进行交流
作者: Simon Vanneste, Peter Hellinckx
备注:Submitted to NeurIPS2020. Contains 10 pages with 9 figures and 4 appendices
链接:arxiv.org/abs/2006.0720

【72】 Dynamic Epidemic Control via Sequential Resource Allocation
标题:通过顺序资源分配的动态流行病控制
作者: Mathilde Fekom, Argyris Kalogeratos
备注:arXiv admin note: text overlap with arXiv:1909.09678
链接:arxiv.org/abs/2006.0719

【73】 Automating Cluster Analysis to Generate Customer Archetypes for Residential Energy Consumers in South Africa
标题:自动化聚类分析以生成南非住宅能源消费者的客户原型
作者: Wiebke Toussaint, Deshendran Moodley
备注:26 pages, 7 figures. arXiv admin note: text overlap with arXiv:2006.00934
链接:arxiv.org/abs/2006.0719

【74】 DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents
标题:DECSTR:在内在动机代理中使用前言语空间谓词学习目标导向的抽象行为
作者: Ahmed Akakzia, Olivier Sigaud
链接:arxiv.org/abs/2006.0718

【75】 Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling
标题:通过模型识别和经验重标记的元强化学习对分布转移的鲁棒性
作者: Russell Mendonca, Sergey Levine
链接:arxiv.org/abs/2006.0717

【76】 First exit-time analysis for an approximate Barndorff-Nielsen and Shephard model with stationary self-decomposable variance process
标题:具有平稳自分解方差过程的近似Barndorff-Nielsen和Shephard模型的首次退出时间分析
作者: Shantanu Awash, Indranil SenGupta
链接:arxiv.org/abs/2006.0716

【77】 The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps
标题:集体知识项目:使用开放API、可重用的最佳实践和MLOP使ML模型更具可移植性和可重复性
作者: Grigori Fursin
链接:arxiv.org/abs/2006.0716

【78】 Generalized SHAP: Generating multiple types of explanations in machine learning
标题:广义形状:在机器学习中生成多种类型的解释
作者: Dillon Bowen, Lyle Ungar
备注:12 pages, 7 figures. Based on a submission to NeurIPS 2020. Dillon Bowen is credited with the original concept, code, data analysis, and initial paper draft. Lyle Ungar is credited with contributions to the draft and mathematical notation. Documentation can be found at this https URL
链接:arxiv.org/abs/2006.0715

【79】 Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
标题:核化信息瓶颈导致深层网络中生物似是而非的3因素Hebbian学习
作者: Roman Pogodin, Peter E. Latham
备注:20 pages, 2 figures
链接:arxiv.org/abs/2006.0712

【80】 Learning Diverse Representations for Fast Adaptation to Distribution Shift
标题:学习多样化表征以快速适应分布变化
作者: Daniel Pace, Murray Shanahan
链接:arxiv.org/abs/2006.0711

【81】 Asymptotic Singular Value Distribution of Linear Convolutional Layers
标题:线性卷积层的渐近奇异值分布
作者: Xinping Yi
链接:arxiv.org/abs/2006.0711

【82】 NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing
标题:NAS-bench-NLP:自然语言处理的神经架构搜索基准
作者: Nikita Klyuchnikov, Evgeny Burnaev
链接:arxiv.org/abs/2006.0711

【83】 Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents
标题:用于预测会话代理用户满意度的大规模混合方法
作者: Dookun Park, Sungjin Lee
链接:arxiv.org/abs/2006.0711

【84】 Effective Training Strategies for Deep Graph Neural Networks
标题:深度图神经网络的有效训练策略
作者: Kuangqi Zhou, Jiashi Feng
链接:arxiv.org/abs/2006.0710

【85】 Reinforced Data Sampling for Model Diversification
标题:模型多样化的强化数据采样
作者: Hoang D. Nguyen, Duc-Trong Le
链接:arxiv.org/abs/2006.0710

【86】 Online Metric Learning for Multi-Label Classification
标题:用于多标签分类的在线度量学习
作者: Xiuwen Gong, Wei Bao
链接:arxiv.org/abs/2006.0709

【87】 Real-Time Optimization Of Web Publisher RTB Revenues
标题:Web Publisher RTB收入的实时优化
作者: Pedro Chahuara, Jean-Michel Renders
链接:arxiv.org/abs/2006.0708

【88】 TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search
标题:TorsionNet:一种序列共形搜索的强化学习方法
作者: Tarun Gogineni, Paul Zimmerman
链接:arxiv.org/abs/2006.0707

【89】 Non-convergence of stochastic gradient descent in the training of deep neural networks
标题:深度神经网络训练中随机梯度下降的非收敛性
作者: Patrick Cheridito, Florian Rossmannek
链接:arxiv.org/abs/2006.0707

【90】 Learning TSP Requires Rethinking Generalization
标题:学习TSP需要反思概括
作者: Chaitanya K. Joshi, Xavier Bresson
链接:arxiv.org/abs/2006.0705

【91】 Disentangled Representation Learning and Generation with Manifold Optimization
标题:流形优化的解缠表示学习与生成
作者: Arun Pandey, Johan A. K. Suykens
链接:arxiv.org/abs/2006.0704

【92】 Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL
标题:语言条件目标生成:RL语言基础的新途径
作者: Cédric Colas, Olivier Sigaud
链接:arxiv.org/abs/2006.0704

【93】 Learning Graph Models for Template-Free Retrosynthesis
标题:无模板逆向合成的学习图模型
作者: Vignesh Ram Somnath, Regina Barzilay
链接:arxiv.org/abs/2006.0703

【94】 Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
标题:Seq2Tens:一种低秩张量投影序列的有效表示方法
作者: Csaba Toth, Harald Oberhauser
链接:arxiv.org/abs/2006.0702

【95】 Backdoor Attacks on Federated Meta-Learning
标题:对联邦元学习的后门攻击
作者: Chien-Lun Chen, Marco Paolieri
备注:16 pages, 23 figures, submitted to 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
链接:arxiv.org/abs/2006.0702

【96】 Provably Robust Metric Learning
标题:可证明的鲁棒度量学习
作者: Lu Wang, Cho-Jui Hsieh
链接:arxiv.org/abs/2006.0702

【97】 A benchmark study on reliable molecular supervised learning via Bayesian learning
标题:基于贝叶斯学习的可靠分子监督学习基准研究
作者: Doyeong Hwnag, Seongok Ryu
链接:arxiv.org/abs/2006.0702

【98】 How many winning tickets are there in one DNN?
标题:一个DNN中有多少张中奖彩票?
作者: Kathrin Grosse, Michael Backes
链接:arxiv.org/abs/2006.0701

【99】 A Unified Analysis of Stochastic Gradient Methods for Nonconvex Federated Optimization
标题:非凸联邦优化的随机梯度法的统一分析
作者: Zhize Li, Peter Richtárik
链接:arxiv.org/abs/2006.0701

【100】 Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks
标题:双重下降:线性回归任务间迁移学习中的泛化错误
作者: Yehuda Dar, Richard G. Baraniuk
链接:arxiv.org/abs/2006.0700

【101】 Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks
标题:马尔可夫随机几何图(MRGG):一种时间动态网络的增长模型
作者: Yohann de Castro (ECL), Quentin Duchemin (LAMA)
链接:arxiv.org/abs/2006.0700

【102】 Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval
标题:简单神经网络中的复杂动力学:理解相位恢复中的梯度流
作者: Stefano Sarao Mannelli, Lenka Zdeborová
链接:arxiv.org/abs/2006.0699

【103】 Sparse approximation of triangular transports on bounded domains
标题:有界域上三角输运的稀疏逼近
作者: Jakob Zech, Youssef Marzouk
链接:arxiv.org/abs/2006.0699

【104】 Heterogeneity-Aware Federated Learning
标题:异构感知的联邦学习
作者: Chengxu Yang, Xuanzhe Liu
链接:arxiv.org/abs/2006.0698

【105】 Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing
标题:稳健的亚高斯主成分分析与宽度无关的Schatten填充
作者: Arun Jambulapati, Kevin Tian
链接:arxiv.org/abs/2006.0698

【106】 Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
标题:深度直接密度比估计的非负Bregman散度最小化
作者: Masahiro Kato, Takeshi Teshima
链接:arxiv.org/abs/2006.0697

【107】 Towards Deeper Graph Neural Networks with Differentiable Group Normalization
标题:具有可微群归一化的更深层图神经网络
作者: Kaixiong Zhou, Xia Hu
链接:arxiv.org/abs/2006.0697

【108】 A general framework for label-efficient online evaluation with asymptotic guarantees
标题:具有渐近保证的标签有效在线评估的一般框架
作者: Neil G. Marchant, Benjamin I. P. Rubinstein
链接:arxiv.org/abs/2006.0696

【109】 Understanding the Role of Training Regimes in Continual Learning
标题:理解培训制度在持续学习中的作用
作者: Seyed Iman Mirzadeh, Hassan Ghasemzadeh
链接:arxiv.org/abs/2006.0695

【110】 Towards Flexible Device Participation in Federated Learning for Non-IID Data
标题:面向非IID数据的灵活设备参与联邦学习
作者: Yichen Ruan, Carlee Joe-Wong
链接:arxiv.org/abs/2006.0695

【111】 SGD with shuffling: optimal rates without component convexity and large epoch requirements
标题:带改组的SGD:无分量凸性和大历元要求的最佳速率
作者: Kwangjun Ahn, Suvrit Sra
链接:arxiv.org/abs/2006.0694

【112】 Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains
标题:使用分层机器学习分类器和时域和频域的池化特征的智能手机交通模式识别
作者: Huthaifa I. Ashqar, Leanna House
链接:arxiv.org/abs/2006.0694

【113】 LSSL: Longitudinal Self-Supervised Learning
标题:LSSL:纵向自我监督学习
作者: Qingyu Zhao, Kilian M. Pohl
链接:arxiv.org/abs/2006.0693

【114】 Efficient Conversion of Bayesian Network Learning into Quadratic Unconstrained Binary Optimization
标题:贝叶斯网络学习到二次无约束二元优化的有效转换
作者: Yuta Shikuri
备注:11 pages, 3 figures, NeurIPS 2020 (under review)
链接:arxiv.org/abs/2006.0692

【115】 MomentumRNN: Integrating Momentum into Recurrent Neural Networks
标题:MomentumRNN:将动量集成到递归神经网络中
作者: Tan M. Nguyen, Bao Wang
链接:arxiv.org/abs/2006.0691

【116】 How Many Samples is a Good Initial Point Worth?
标题:一个好的初始点值多少个样品?
作者: Gavin Zhang, Richard Zhang
链接:arxiv.org/abs/2006.0691

【117】 Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
标题:非光滑凸损失下随机梯度下降的稳定性
作者: Raef Bassily, Kunal Talwar
链接:arxiv.org/abs/2006.0691

【118】 Hybrid Attentional Memory Network for Computational drug repositioning
标题:用于计算药物重新定位的混合注意记忆网络
作者: Jieyue He, lbrahim Zamit
链接:arxiv.org/abs/2006.0691

【119】 Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks
标题:分子图神经网络的Weisfeiler-Lehman嵌入
作者: Katsuhiko Ishiguro, Kohei Hayashi
链接:arxiv.org/abs/2006.0690

【120】 On Correctness of Automatic Differentiation for Non-Differentiable Functions
标题:关于不可微函数自动微分的正确性
作者: Wonyeol Lee, Hongseok Yang
链接:arxiv.org/abs/2006.0690

【121】 Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
标题:利用概率比限幅和样本重加权改进GaN训练
作者: Yue Wu, Zhiting Hu
链接:arxiv.org/abs/2006.0690

【122】 Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems
标题:非凸强凹Min-max问题的快速目标和对偶间隙收敛
作者: Zhishuai Guo, Tianbao Yang
链接:arxiv.org/abs/2006.0688

【123】 Stochastic Optimization for Performative Prediction
标题:性能预测的随机优化
作者: Celestine Mendler-Dünner, Moritz Hardt
链接:arxiv.org/abs/2006.0688

【124】 Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings
标题:用深图嵌入揭示RNA二级结构的折叠景观
作者: Egbert Castro, Smita Krishnaswamy
链接:arxiv.org/abs/2006.0688

【125】 Rethinking Pre-training and Self-training
标题:反思职前培训与自我培训
作者: Barret Zoph, Quoc V. Le
链接:arxiv.org/abs/2006.0688

【126】 Optimization Theory for ReLU Neural Networks Trained with Normalization Layers
标题:归一化层训练的REU神经网络优化理论
作者: Yonatan Dukler, Guido Montúfar
备注:To be presented at ICML 2020
链接:arxiv.org/abs/2006.0687

【127】 Deep Learning-based Stress Determinator for Mouse Psychiatric Analysis using Hippocampus Activity
标题:基于深度学习的基于海马活动的小鼠精神病学分析应激决定器
作者: Donghan Liu, Tak Pan Wong
链接:arxiv.org/abs/2006.0686

【128】 Robustness to Adversarial Attacks in Learning-Enabled Controllers
标题:学习控制器中对抗攻击的鲁棒性
作者: Zikang Xiong, Suresh Jagannathan
链接:arxiv.org/abs/2006.0686

【129】 Bandit-PAM: Almost Linear Time $k$-Medoids Clustering via Multi-Armed Bandits
标题:Bandit-PAM:几乎线性时间$k$-通过多臂强盗进行Medoids聚类
作者: Mo Tiwari, Ilan Shomorony
链接:arxiv.org/abs/2006.0685

【130】 Grooming a Single Bandit Arm
标题:梳理一只强盗手臂
作者: Eren Ozbay, Vijay Kamble
备注:20 pages, 1 figure
链接:arxiv.org/abs/2006.0685

【131】 Group-Fair Online Allocation in Continuous Time
标题:连续时间组公平在线分配
作者: Semih Cayci, Atilla Eryilmaz
链接:arxiv.org/abs/2006.0685

【132】 List Learning with Attribute Noise
标题:带有属性噪声的列表学习
作者: Mahdi Cheraghchi, Ning Xie
链接:arxiv.org/abs/2006.0685

【133】 Backdoors in Neural Models of Source Code
标题:源代码神经模型中的后门
作者: Goutham Ramakrishnan, Aws Albarghouthi
链接:arxiv.org/abs/2006.0684

【134】 Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)
标题:自适应梯度方法在过度参数化的情况下收敛得更快(您可以进行线搜索)
作者: Sharan Vaswani, Simon Lacoste-Julien
链接:arxiv.org/abs/2006.0683

【135】 Attention improves concentration when learning node embeddings
标题:学习节点嵌入时,注意力可以提高注意力
作者: Matthew Dippel, Akshar Varma
链接:arxiv.org/abs/2006.0683

【136】 Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
标题:不完全因果知识下的算法追索:概率方法
作者: Amir-Hossein Karimi, Isabel Valera
链接:arxiv.org/abs/2006.0683

【137】 Data Augmentation for Graph Neural Networks
标题:图神经网络的数据增强
作者: Tong Zhao, Neil Shah
链接:arxiv.org/abs/2006.0683

【138】 To Each Optimizer a Norm, To Each Norm its Generalization
标题:对每个优化器都是一个范数,对每个范数都是它的推广
作者: Sharan Vaswani, Nicolas Le Roux
链接:arxiv.org/abs/2006.0682

【139】 Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors
标题:用于时空用户行为时间结构建模的日历图神经网络
作者: Daheng Wang, Nitesh V. Chawla
链接:arxiv.org/abs/2006.0682

【140】 A robust modeling framework for energy analysis of data centers
标题:一种用于数据中心能量分析的健壮建模框架
作者: Nuoa Lei
链接:arxiv.org/abs/2006.0681

【141】 Symbolic Regression using Mixed-Integer Nonlinear Optimization
标题:使用混合整数非线性优化的符号回归
作者: Vernon Austel, Nimrod Megiddo
链接:arxiv.org/abs/2006.0681

【142】 A Stochastic Biomass Blending Problem in Decentralized Supply Chains
标题:分散供应链中的随机生物质混合问题
作者: Sandra D. Eksioglu, Scott Mason
链接:arxiv.org/abs/2006.0680

【143】 Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks
标题:宽卷积神经网络的多通道网格结构
作者: Jonathan Ephrath, Eran Treister
链接:arxiv.org/abs/2006.0679

【144】 Deep Transfer Learning with Ridge Regression
标题:基于岭回归的深度迁移学习
作者: Shuai Tang, Virginia R. de Sa
链接:arxiv.org/abs/2006.0679

【145】 On Worst-case Regret of Linear Thompson Sampling
标题:关于线性Thompson抽样的最坏情况遗憾
作者: Nima Hamidi, Mohsen Bayati
链接:arxiv.org/abs/2006.0679

【146】 Characterizing Private Clipped Gradient Descent on Convex Generalized Linear Problems
标题:凸广义线性问题上私人剪裁梯度下降的特征
作者: Shuang Song, Abhradeep Thakurta
链接:arxiv.org/abs/2006.0678

【147】 Tangent Space Sensitivity and Distribution of Linear Regions in ReLU Networks
标题:RELU网络中的切线空间灵敏度与线性区域分布
作者: Bálint Daróczy
链接:arxiv.org/abs/2006.0678

【148】 Stochastic Saddle-Point Optimization for Wasserstein Barycenters
标题:Wasserstein重心的随机鞍点优化
作者: Daniil Tiapkin, Pavel Dvurechensky
链接:arxiv.org/abs/2006.0676

【149】 Ansor : Generating High-Performance Tensor Programs for Deep Learning
标题:ANSOR:生成用于深度学习的高性能张量程序
作者: Lianmin Zheng, Ion Stoica
链接:arxiv.org/abs/2006.0676

【150】 On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples
标题:关于证明对抗例子鲁棒性的半定松弛的紧性
作者: Richard Y. Zhang
链接:arxiv.org/abs/2006.0675

【151】 Faster DBSCAN via subsampled similarity queries
标题:通过二次采样相似性查询加快DBSCAN
作者: Heinrich Jiang, Jakub Łącki
链接:arxiv.org/abs/2006.0674

【152】 Non-Convex SGD Learns Halfspaces with Adversarial Label Noise
标题:非凸SGD学习带有对抗性标签噪声的半空间
作者: Ilias Diakonikolas, Nikos Zarifis
链接:arxiv.org/abs/2006.0674

【153】 Bandits with Partially Observable Offline Data
标题:具有部分可观察到的离线数据的匪徒
作者: Guy Tennenholtz, Yonathan Efroni
链接:arxiv.org/abs/2006.0673

【154】 Is deep learning necessary for simple classification tasks?
标题:对于简单的分类任务,深度学习是必要的吗?
作者: Joseph D. Romano, Jason H. Moore
链接:arxiv.org/abs/2006.0673

【155】 Weak variable step-size Euler schemes for stochastic differential equations based on controlling conditional moments
标题:基于条件矩控制的随机微分方程弱变步长Euler格式
作者: Carlos M. Mora, Monica Selva
链接:arxiv.org/abs/2006.0672

【156】 Deep Reinforcement Learning for Electric Transmission Voltage Control
标题:电力传输电压控制的深度强化学习
作者: Brandon L. Thayer, Thomas J. Overbye
链接:arxiv.org/abs/2006.0672

【157】 A new measure for overfitting and its implications for backdooring of deep learning
标题:一种新的过拟合方法及其对深度学习的启示
作者: Kathrin Grosse, Ian Molloy
链接:arxiv.org/abs/2006.0672

【158】 Learning to Learn Kernels with Variational Random Features
标题:学习具有变分随机特征的核
作者: Xiantong Zhen, Cees Snoek
备注:ICML'2020; code is available in: this https URL
链接:arxiv.org/abs/2006.0670

【159】 Extreme data compression while searching for new physics
标题:搜索新物理时的极端数据压缩
作者: Alan Heavens, Andrew Jaffe
链接:arxiv.org/abs/2006.0670

【160】 Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously
标题:优化训练集上的泛化:一种新的基于梯度的同时训练参数和超参数的框架
作者: Karim Lounici, Benjamin Riu
链接:arxiv.org/abs/2006.0670

【161】 End-to-end Sinkhorn Autoencoder with Noise Generator
标题:带噪声发生器的端到端Sinkhorn自动编码器
作者: Kamil Deja, Tomasz Trzciński
链接:arxiv.org/abs/2006.0670

【162】 On the asymptotics of wide networks with polynomial activations
标题:关于具有多项式激活的宽网络的渐近性
作者: Kyle Aitken, Guy Gur-Ari
链接:arxiv.org/abs/2006.0668

【163】 Training Generative Adversarial Networks with Limited Data
标题:用有限数据训练生成性对抗网络
作者: Tero Karras, Timo Aila
链接:arxiv.org/abs/2006.0667

【164】 Towards Early Diagnosis of Epilepsy from EEG Data
标题:从脑电图数据探讨癫痫的早期诊断
作者: Diyuan Lu, Jochen Triesch
备注:Machine Learning for Healthcare conference 2020
链接:arxiv.org/abs/2006.0667

机器翻译,仅供参考

发布于 2020-06-15 10:30