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9738 papers in Statistics
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TITLE
DATE
VIEWS
Inverse Ising inference from high-temperature re-weighting of observations
By Junghyo Jo, Danh-Tai Hoang, Vipul Periwal · ArXiv: 1909.04305
2020-03-11
0
A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation
By Gang Wang, Bingcong Li, Georgios B. Giannakis · ArXiv: 1909.04299
2020-09-02
0
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns
By Kasun B, ara, Christoph Bergmeir · ArXiv: 1909.04293
2020-04-28
1
Interpretable Biomanufacturing Process Risk and Sensitivity Analyses for Quality-by-Design and Stability Control
By Wei Xie, Bo Wang, Cheng Li · ArXiv: 1909.04261
2021-06-03
0
Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation
By Changlin Wan, Wennan Chang, Tong Zhao · ArXiv: 1909.03991
2020-02-12
2
Compact Autoregressive Network
By Di Wang, Feiqing Huang, Jingyu Zhao · ArXiv: 1909.03830
2019-09-10
0
INTEREST: INteractive Tool for Exploring REsults from Simulation sTudies
By Aless, ro Gasparini, Tim P. Morris · ArXiv: 1909.03813
2020-05-05
0
A new approach of chain sampling inspection plan
By Harsh Tripathi, Mahendra Saha · ArXiv: 1909.03784
2021-12-02
1
Off-Policy Evaluation in Partially Observable Environments
By Guy Tennenholtz, Shie Mannor, Uri Shalit · ArXiv: 1909.03739
2019-11-26
0
Neural Gaussian Copula for Variational Autoencoder
By Prince Zizhuang Wang, William Yang Wang · ArXiv: 1909.03569
2019-09-10
1
Inference In High-dimensional Single-Index Models Under Symmetric Designs
By Hamid Eftekhari, Moulinath Banerjee, Yaacov Ritov · ArXiv: 1909.03540
2021-03-02
0
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
By Yaqin Zhou, Shangqing Liu, Jingkai Siow · ArXiv: 1909.03496
2019-09-10
1
Probabilistic Convergence and Stability of Random Mapper Graphs
By Adam Brown, Omer Bobrowski, Elizabeth Munch · ArXiv: 1909.03488
2020-08-17
0
A scalable constructive algorithm for the optimization of neural network architectures
By Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li · ArXiv: 1909.03306
2021-04-30
0
A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks
By Davide Bacciu, Luigi Di Sotto · ArXiv: 1909.03287
2019-09-10
0
A Polya-Gamma Sampler for a Generalized Logistic Regression
By Luciana Dalla Valle, Fabrizio Leisen, Luca Rossini · ArXiv: 1909.02989
2020-12-22
0
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
By Theo Jaunet, Romain Vuillemot, Christian Wolf · ArXiv: 1909.02982
2020-05-26
1
Reinforcement Learning for Joint Optimization of Multiple Rewards
By Mridul Agarwal, Vaneet Aggarwal · ArXiv: 1909.02940
2023-01-10
0
Collocation-Based Output-Error Method for Aircraft System Identification
By Dimas Abreu Archanjo Dutra · ArXiv: 1909.02838
2019-09-09
0
Port-Hamiltonian Approach to Neural Network Training
By Stefano Massaroli, Michael Poli, Federico Califano · ArXiv: 1909.02702
2019-09-09
0
Network-Based Approach for Modeling and Analyzing Coronary Angiography
By Babak Rav, i, Arash Rav · ArXiv: 1909.02664
2020-02-27
0
Additive function approximation in the brain
By Kameron Decker Harris · ArXiv: 1909.02603
2022-02-22
0
Evaluating Conformance Measures in Process Mining using Conformance Propositions (Extended version)
By Anja F. Syring, Niek Tax, Wil M.P. van der Aalst · ArXiv: 1909.02393
2019-09-06
0
Reduced-bias estimation of spatial econometric models with incompletely geocoded data
By Giuseppe Arbia, Maria Michela Dickson, Giuseppe Espa · ArXiv: 1909.02282
2019-09-06
1
Artificial Neural Networks and Adaptive Neuro-fuzzy Models for Prediction of Remaining Useful Life
By Razieh Tavakoli, Mohammad Najafi, Ali Sharifara · ArXiv: 1909.02115
2019-09-06
0
Deep Convolutional Networks in System Identification
By Carl Andersson, Ant^onio H. Ribeiro, Koen Tiels · ArXiv: 1909.01730
2019-11-20
0
Multifractal Description of Streamflow and Suspended Sediment Concentration Data from Indian River Basins
By - Adarsh S¹* (교신저자, 부교수) – TKM College of Engineering, Kollam · ArXiv: 1909.01605
2019-09-05
0
Learning sparse representations in reinforcement learning
By Jacob Rafati, David C. Noelle · ArXiv: 1909.01575
2019-09-05
1
Learning without feedback: Fixed random learning signals allow for feedforward training of deep neural networks
By Charlotte Frenkel, Martin Lefebvre, David Bol · ArXiv: 1909.01311
2021-01-19
0
Stochastic quasi-Newton with line-search regularization
By Adrian Wills, Thomas Sch"on · ArXiv: 1909.01238
2019-09-04
0