统计学每日论文速递[02.26]
stat 方向,今日共计86篇
公众号(arXiv每日学术速递),欢迎关注,感谢支持哦~
【1】 A General Method for Robust Learning from Batches
标题:一种通用的批处理鲁棒学习方法
作者: Ayush Jain, Alon Orlitsky
链接:https://arxiv.org/abs/2002.11099
【2】 Causal Inference With Selectively-Deconfounded Data
标题:选择性解构数据的因果推理
作者: Kyra Gan, Sridhar Tayur
链接:https://arxiv.org/abs/2002.11096
【3】 Continuous-time multi-state capture-recapture models
标题:连续时间多状态捕获-再捕获模型
作者: Sina Mews, Nicola Quick
链接:https://arxiv.org/abs/2002.10997
【4】 Uncertainty estimation in equality-constrained MAP and maximum likelihood estimation with applications to system identification and state estimation
标题:等式约束映射中的不确定性估计和极大似然估计及其在系统辨识和状态估计中的应用
作者: Dimas Abreu Archanjo Dutra
链接:https://arxiv.org/abs/2002.10975
【5】 The DURATIONS randomised trial design: estimation targets, analysis methods and operating characteristics
标题:持续时间随机试验设计:估计指标、分析方法和操作特点
作者: Matteo Quartagno, Mahesh K.B. Parmar
链接:https://arxiv.org/abs/2002.10962
【6】 Probabilistic elicitation of expert knowledge through assessment of computer simulations
标题:通过计算机模拟评估的专家知识的概率启发
作者: Owen Thomas, Jukka Corander
链接:https://arxiv.org/abs/2002.10902
【7】 Demystify Lindley’s Paradox by Interpreting P-value as Posterior Probability
标题:通过将P值解释为后验概率来揭开Lindley悖论的神秘面纱
作者: Guosheng Yin, Haolun Shi
链接:https://arxiv.org/abs/2002.10883
【8】 Gaussian Process Regression for Probabilistic Short-term Solar Output Forecast
标题:高斯过程回归在概率短期太阳产量预测中的应用
作者: Fatemeh Najibi, Eduardo Alonso
链接:https://arxiv.org/abs/2002.10878
【9】 Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back
标题:高斯分层潜在Dirichlet分配:带回一词多义
作者: Takahiro Yoshida, Takaaki Ohnishi
链接:https://arxiv.org/abs/2002.10855
【10】 Structural adaptation in the density model
标题:密度模型中的结构自适应
作者: Lepski O.V., Rebelles G
链接:https://arxiv.org/abs/2002.10850
【11】 MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models
标题:MissDeepCault:使用深度潜变量模型从不完全数据中进行因果推断
作者: Imke Mayer, Jean-Philippe Vert
链接:https://arxiv.org/abs/2002.10837
【12】 Missing Data Imputation for Classification Problems
标题:分类问题的缺失数据归类
作者: Arkopal Choudhury, Michael R. Kosorok
链接:https://arxiv.org/abs/2002.10709
【13】 Multivariate time-series modeling with generative neural networks
标题:基于产生式神经网络的多变量时间序列建模
作者: Marius Hofert, Mu Zhu
链接:https://arxiv.org/abs/2002.10645
【14】 Statistical Adaptive Stochastic Gradient Methods
标题:统计自适应随机梯度法
作者: Pengchuan Zhang, Lin Xiao
链接:https://arxiv.org/abs/2002.10597
【15】 Multi Linear Regression applied to Communications systems Analysis
标题:多元线性回归在通信系统分析中的应用
作者: Federico Rodas Bajaña, Elena Gimenez de Ory
链接:https://arxiv.org/abs/2002.10573
【16】 Forecasting the Intra-Day Spread Densities of Electricity Prices
标题:预测电价日内价差密度
作者: Ekaterina Abramova, Derek Bunn
备注:31 pages, 25 figures. arXiv admin note: substantial text overlap with arXiv:1903.06668
链接:https://arxiv.org/abs/2002.10566
【17】 Statistical inference for Axiom A attractors
标题:公理A吸引子的统计推断
作者: Michael LuValle
链接:https://arxiv.org/abs/2002.10545
【18】 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms
标题:随机数值线性代数算法采样估计的渐近分析
作者: Ping Ma, Michael W. Mahoney
链接:https://arxiv.org/abs/2002.10526
【19】 Causal bounds for outcome-dependent sampling in observational studies
标题:观察性研究中结果相关抽样的因果界限
作者: Erin E. Gabriel, Arvid Sjölander
链接:https://arxiv.org/abs/2002.10519
【20】 On Feature Normalization and Data Augmentation
标题:特征归一化与数据增强
作者: Boyi Li, Kilian Q. Weinberger
链接:https://arxiv.org/abs/2002.11102
【21】 Problems with Shapley-value-based explanations as feature importance measures
标题:基于Shapley值的解释作为特征重要性度量的问题
作者: I. Elizabeth Kumar, Sorelle Friedler
链接:https://arxiv.org/abs/2002.11097
【22】 Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
标题:用逆向RL重写历史:政策改进的后见之明
作者: Benjamin Eysenbach, Ruslan Salakhutdinov
链接:https://arxiv.org/abs/2002.11089
【23】 Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training
标题:用于有效通信的分布式训练的最佳梯度量化条件
作者: An Xu, Heng Huang
链接:https://arxiv.org/abs/2002.11082
【24】 The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization
标题:敌意健壮模型的奇妙案例:更多的数据可能会帮助、双重下降或损害泛化
作者: Yifei Min, Amin Karbasi
链接:https://arxiv.org/abs/2002.11080
【25】 Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors
标题:基于相关特征的自然误差能量高效检测辅助单元
作者: Sai Aparna Aketi, Kaushik Roy
链接:https://arxiv.org/abs/2002.11052
【26】 Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks
标题:6G网络中超可靠低延时通信的深度学习
作者: Changyang She, Branka Vucetic
链接:https://arxiv.org/abs/2002.11045
【27】 Regression with Deep Learning for Sensor Performance Optimization
标题:基于深度学习的回归传感器性能优化
作者: Ruthvik Vaila, Kevin Tetz
备注:Accepted in Workshop on Microelectronics and Electron Devices March 30th, 2020
链接:https://arxiv.org/abs/2002.11044
【28】 Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization
标题:基于人工神经网络粒子群优化混合模型的联合收割机性能分析
作者: Laszlo Nadai, Amir Mosavi
链接:https://arxiv.org/abs/2002.11041
【29】 A study of resting-state EEG biomarkers for depression recognition
标题:用于抑郁症识别的静息态EEG生物标志物的研究
作者: Shuting Sun, Bin Hu
链接:https://arxiv.org/abs/2002.11039
【30】 Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
标题:超越Dropout:特征图失真对深层神经网络的正则化
作者: Yehui Tang, Chang Xu
链接:https://arxiv.org/abs/2002.11022
【31】 Breaking Batch Normalization for better explainability of Deep Neural Networks through Layer-wise Relevance Propagation
标题:通过分层相关传播打破批量归一化以提高深层神经网络的可解释性
作者: Mathilde Guillemot, Liming Chen
链接:https://arxiv.org/abs/2002.11018
【32】 Adaptive Distributed Stochastic Gradient Descent for Minimizing Delay in the Presence of Stragglers
标题:自适应分布随机梯度下降算法在离散器存在下最小化延迟
作者: Serge Kas Hanna, Salim El Rouayheb
备注:Accepted to IEEE ICASSP 2020
链接:https://arxiv.org/abs/2002.11005
【33】 A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions
标题:用于临床数据预测的多模型比较的可视化分析系统
作者: Yiran Li, Kwan-Liu Ma
链接:https://arxiv.org/abs/2002.10998
【34】 Recalibrating 3D ConvNets with Project & Excite
标题:使用Project&Excite重新校准3D ConvNet
作者: Anne-Marie Rickmann, Christian Wachinger
链接:https://arxiv.org/abs/2002.10994
【35】 G-Learner and GIRL: Goal Based Wealth Management with Reinforcement Learning
标题:G-Learner and Girl:基于目标的强化学习财富管理
作者: Matthew Dixon, Igor Halperin
链接:https://arxiv.org/abs/2002.10990
【36】 Freeze Discriminator: A Simple Baseline for Fine-tuning GANs
标题:冻结判别器:微调GANS的简单基线
作者: Sangwoo Mo, Jinwoo Shin
链接:https://arxiv.org/abs/2002.10964
【37】 Towards an Efficient and General Framework of Robust Training for Graph Neural Networks
标题:一种高效通用的图神经网络鲁棒训练框架
作者: Kaidi Xu, Xue Lin
备注:Accepted by ICASSP 2020
链接:https://arxiv.org/abs/2002.10947
【38】 Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
标题:具有理论保证的随机符号SGD联邦学习
作者: Richeng Jin, Tianfu Wu
链接:https://arxiv.org/abs/2002.10940
【39】 Diversity-Based Generalization for Neural Unsupervised Text Classification under Domain Shift
标题:域转移下基于多样性的神经网络无监督文本分类泛化
作者: Jitin Krishnan, Huzefa Rangwala
链接:https://arxiv.org/abs/2002.10937
【40】 Stochastic encoding of graphs in deep learning allows for complex analysis of gender classification in resting-state and task functional brain networks from the UK Biobank
标题:深度学习中图形的随机编码允许对来自英国生物库的静息状态和任务功能脑网络中的性别分类进行复杂分析
作者: Matthew Leming, John Suckling
链接:https://arxiv.org/abs/2002.10936
【41】 General Framework for Binary Classification on Top Samples
标题:基于顶级样本的二进制分类通用框架
作者: Lukáš Adam, Tomáš Pevný
链接:https://arxiv.org/abs/2002.10923
【42】 Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction
标题:用于原始眼球跟踪数据分割、生成和重建的全卷积神经网络
作者: Wolfgang Fuhl
链接:https://arxiv.org/abs/2002.10905
【43】 Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning
标题:基于核的逆向强化学习的人类学徒学习
作者: Mark A. Rucker, Matthew S. Gerber
链接:https://arxiv.org/abs/2002.10904
【44】 PolyGen: An Autoregressive Generative Model of 3D Meshes
标题:Polygen:一种三维网格的自回归生成模型
作者: Charlie Nash, Peter W. Battaglia
链接:https://arxiv.org/abs/2002.10880
【45】 Variational Inference and Bayesian CNNs for Uncertainty Estimation in Multi-Factorial Bone Age Prediction
标题:变分推理和贝叶斯神经网络在多因素骨龄预测中的不确定性估计
作者: Stefan Eggenreich, Darko Štern
备注:accepted at Medical Imaging Meets NeurIPS 2019
链接:https://arxiv.org/abs/2002.10819
【46】 Robust Estimation, Prediction and Control with Linear Dynamics and Generic Costs
标题:具有线性动态和一般成本的鲁棒估计、预测和控制
作者: Edouard Leurent, Odalric-Ambrym Maillard
链接:https://arxiv.org/abs/2002.10816
【47】 Robust Wireless Fingerprinting: Generalizing Across Space and Time
标题:稳健的无线指纹识别:跨空间和时间的概括
作者: Metehan Cekic, Upamanyu Madhow
链接:https://arxiv.org/abs/2002.10791
【48】 Biased Stochastic Gradient Descent for Conditional Stochastic Optimization
标题:条件随机优化的有偏随机梯度下降
作者: Yifan Hu, Niao He
链接:https://arxiv.org/abs/2002.10790
【49】 Training Binary Neural Networks using the Bayesian Learning Rule
标题:利用贝叶斯学习规则训练二元神经网络
作者: Xiangming Meng, Mohammad Emtiyaz Khan
链接:https://arxiv.org/abs/2002.10778
【50】 Counterfactual fairness: removing direct effects through regularization
标题:反事实公平:通过正规化消除直接影响
作者: Pietro G. Di Stefano, Vlasios Vasileiou
链接:https://arxiv.org/abs/2002.10774
【51】 Sequence-to-Sequence Imputation of Missing Sensor Data
标题:缺失传感器数据的序列到序列估计
作者: Joel Janek Dabrowski, Ashfaqur Rahman
链接:https://arxiv.org/abs/2002.10767
【52】 Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration
标题:基于类似解缠探索的无策略深度强化学习
作者: Anji Liu, Guy Van den Broeck
链接:https://arxiv.org/abs/2002.10738
【53】 (De)Randomized Smoothing for Certifiable Defense against Patch Attacks
标题:(De)针对补丁攻击的可证明防御的随机平滑
作者: Alexander Levine, Soheil Feizi
链接:https://arxiv.org/abs/2002.10733
【54】 Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation
标题:基于深度学习的IMU陀螺开环姿态估计去噪
作者: Martin Brossard (CAOR), Axel Barrau (CAOR)
链接:https://arxiv.org/abs/2002.10718
【55】 Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
标题:理解并减轻健壮性和准确性之间的权衡
作者: Aditi Raghunathan, Percy Liang
链接:https://arxiv.org/abs/2002.10716
【56】 Searching for Winograd-aware Quantized Networks
标题:搜索Winograd感知的量化网络
作者: Javier Fernandez-Marques, Matthew Mattina
备注:Published as a conference paper at MLSys 2020
链接:https://arxiv.org/abs/2002.10711
【57】 Gödel’s Sentence Is An Adversarial Example But Unsolvable
标题:哥德尔的判决是一个对抗性的例子,但无法解决
作者: Xiaodong Qi, Lansheng Han
链接:https://arxiv.org/abs/2002.10703
【58】 A Theory of Usable Information Under Computational Constraints
标题:计算约束下的可用信息理论
作者: Yilun Xu, Stefano Ermon
备注:ICLR 2020 (Talk)
链接:https://arxiv.org/abs/2002.10689
【59】 Novel Change of Measure Inequalities and PAC-Bayesian Bounds
标题:测量不等式的新变化和PAC-贝叶斯界限
作者: Yuki Ohnishi, Jean Honorio
链接:https://arxiv.org/abs/2002.10678
【60】 On the regularity and conditioning of low rank semidefinite programs
标题:关于低秩半定规划的正则性和条件性
作者: Lijun Ding, Madeleine Udell
链接:https://arxiv.org/abs/2002.10673
【61】 Exploring BERT Parameter Efficiency on the Stanford Question Answering Dataset v2.0
标题:基于Stanford问答数据集v2.0的BERT参数效率研究
作者: Eric Hulburd
链接:https://arxiv.org/abs/2002.10670
【62】 Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization
标题:相干梯度:基于梯度下降优化中理解泛化的一种方法
作者: Satrajit Chatterjee
备注:To appear in ICLR 2020
链接:https://arxiv.org/abs/2002.10657
【63】 I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively
标题:我要疯了:自适应比较分类器的最大差异竞争
作者: Haotao Wang, Kede Ma
备注:Accepted to ICLR 2020
链接:https://arxiv.org/abs/2002.10648
【64】 Sparsity-promoting algorithms for the discovery of informative Koopman invariant subspaces
标题:用于发现信息性Koopman不变子空间的稀疏性促进算法
作者: Shaowu Pan, Karthik Duraisamy
链接:https://arxiv.org/abs/2002.10637
【65】 An Adaptive QRS Detection Algorithm for Ultra-Long-Term ECG Recordings
标题:一种用于超长时心电记录的自适应QRS检测算法
作者: John Malik, Hau-Tieng Wu
链接:https://arxiv.org/abs/2002.10633
【66】 Batch norm with entropic regularization turns deterministic autoencoders into generative models
标题:具有熵正则化的批处理范数将确定性自动编码器转换为生成模型
作者: Amur Ghose, Pascal Poupart
链接:https://arxiv.org/abs/2002.10631
【67】 Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements
标题:无速度和加速度测量的物理系统基于模型的强化学习
作者: Alberto Dalla Libera, Daniel Nikovski
链接:https://arxiv.org/abs/2002.10621
【68】 On Reinforcement Learning for Turn-based Zero-sum Markov Games
标题:基于回合的零和马尔可夫对策的强化学习
作者: Devavrat Shah, Zhi Xu
链接:https://arxiv.org/abs/2002.10620
【69】 Three Approaches for Personalization with Applications to Federated Learning
标题:三种个性化方法及其在联邦学习中的应用
作者: Yishay Mansour, Ananda Theertha Suresh
链接:https://arxiv.org/abs/2002.10619
【70】 Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
标题:子空间拟合遇到回归:监督和正交约束对泛化误差双下降的影响
作者: Yehuda Dar, Richard G. Baraniuk
链接:https://arxiv.org/abs/2002.10614
【71】 Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art
标题:资源受限物联网设备的联合学习:全景图和最新技术
作者: Ahmed Imteaj, M. Hadi Amini
链接:https://arxiv.org/abs/2002.10610
【72】 Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
标题:加速随机梯度下降的预定重新启动动量
作者: Bao Wang, Stanley J. Osher
备注:20 pages, 13 figures, 15 tables
链接:https://arxiv.org/abs/2002.10583
【73】 Learning the mapping x↦∑i=1dxi2\mathbf{x}\mapsto \sum_{i=1}^d x_i^2x↦∑i=1dxi2: the cost of finding the needle in a haystack
标题:学习映射$ \ mathbf {x} \ mapsto \ sum_ {i = 1} ^ d x_i ^ 2 $:在大海捞针中找到针的成本
作者: Jiefu Zhang, Lin Lin
链接:https://arxiv.org/abs/2002.10561
【74】 Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-Layer Networks
标题:神经网络是凸规则器:两层网络的精确多项式时间凸优化公式
作者: Mert Pilanci, Tolga Ergen
链接:https://arxiv.org/abs/2002.10553
【75】 Progressive Learning and Disentanglement of Hierarchical Representations
标题:递进学习与分层表征的解缠
作者: Zhiyuan Li, Linwei Wang
链接:https://arxiv.org/abs/2002.10549
【76】 Provable Representation Learning for Imitation Learning via Bi-level Optimization
标题:基于双层优化的模仿学习可证明表征学习
作者: Sanjeev Arora, Nikunj Saunshi
链接:https://arxiv.org/abs/2002.10544
【77】 Variational Wasserstein Barycenters for Geometric Clustering
标题:几何聚类的变分Wasserstein Barycenter
作者: Liang Mi, Yalin Wang
链接:https://arxiv.org/abs/2002.10543
【78】 Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence
标题:SGD的随机Polyak步长:一种快速收敛的自适应学习率
作者: Nicolas Loizou, Simon Lacoste-Julien
链接:https://arxiv.org/abs/2002.10542
【79】 Efficient Rollout Strategies for Bayesian Optimization
标题:贝叶斯优化的有效推广策略
作者: Eric Hans Lee, David Bindel
链接:https://arxiv.org/abs/2002.10539
【80】 Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
标题:基于动态归一化流的连续随机过程建模
作者: Ruizhi Deng, Andreas Lehrmann
链接:https://arxiv.org/abs/2002.10516
【81】 On Pruning Adversarially Robust Neural Networks
标题:关于剪枝敌方鲁棒神经网络
作者: Vikash Sehwag, Suman Jana
备注:19 pages, 14 figures, 8 tables
链接:https://arxiv.org/abs/2002.10509
【82】 Variational Hyper RNN for Sequence Modeling
标题:序列建模的变分超RNN
作者: Ruizhi Deng, Marcus A. Brubaker
链接:https://arxiv.org/abs/2002.10501
【83】 Uncovering ecological state dynamics with hidden Markov models
标题:用隐马尔可夫模型揭示生态状态动态
作者: Brett T. McClintock, Toby A. Patterson
链接:https://arxiv.org/abs/2002.10497
【84】 Interpolating Between Gradient Descent and Exponentiated Gradient Using Reparameterized Gradient Descent
标题:利用重参数化梯度下降在梯度下降和指数梯度之间插值
作者: Ehsan Amid, Manfred K. Warmuth
链接:https://arxiv.org/abs/2002.10487
【85】 Precise Tradeoffs in Adversarial Training for Linear Regression
标题:线性回归对抗性训练中的精确权衡
作者: Adel Javanmard, Hamed Hassani
链接:https://arxiv.org/abs/2002.10477
【86】 QEML (Quantum Enhanced Machine Learning): Using Quantum Computing to Enhance ML Classifiers and Feature Spaces
标题:QEML(Quantum Enhanced Machine Learning):使用量子计算增强ML分类器和特征空间
作者: Siddharth Sharma
链接:https://arxiv.org/abs/2002.10453
机器翻译,仅供参考
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