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9786 papers in Statistics
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TITLE
DATE
VIEWS
Parametrization and generation of geological models with generative adversarial networks
By Shing Chan, Ahmed H. Elsheikh · ArXiv: 1708.01810
2019-04-10
0
A network approach to topic models
By Martin Gerlach, Tiago P. Peixoto, Eduardo G. Altmann · ArXiv: 1708.01677
2018-07-20
0
On the convergence properties of a $K$-step averaging stochastic gradient descent algorithm for nonconvex optimization
By Fan Zhou, Guojing Cong · ArXiv: 1708.01012
2019-11-05
0
Latent Parameter Estimation in Fusion Networks Using Separable Likelihoods
By Murat Uney, Bernard Mulgrew, Daniel E Clark · ArXiv: 1708.00842
2018-01-04
0
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations
By Benjamin J. Lengerich, Andrew L. Maas, Christopher Potts · ArXiv: 1708.00112
2018-06-19
0
Bayesian Sparsification of Recurrent Neural Networks
By Ekaterina Lobacheva, Nadezhda Chirkova, Dmitry Vetrov · ArXiv: 1708.00077
2017-08-02
0
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
By Nils Reimers, Iryna Gurevych · ArXiv: 1707.09861
2017-08-01
1
Review of Machine Learning Algorithms in Differential Expression Analysis
By Irina Kuznetsova, Yuliya V Karpievitch, Aleks · ArXiv: 1707.09837
2017-08-01
0
Topology Analysis of International Networks Based on Debates in the United Nations
By Stefano Gurciullo, Slava Mikhaylov · ArXiv: 1707.09491
2017-08-01
1
Recurrent Ladder Networks
By Isabeau Premont-Schwarz, Alex, er Ilin · ArXiv: 1707.09219
2017-12-19
1
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation
By Carolin Lawrence, Artem Sokolov, Stefan Riezler · ArXiv: 1707.09118
2017-12-15
0
Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses
By Maya B. Mathur, Tyler J. V, erWeele · ArXiv: 1707.09076
2017-10-10
0
A Shared Task on Bandit Learning for Machine Translation
By Artem Sokolov, Julia Kreutzer, Kellen Sunderl · ArXiv: 1707.09050
2017-07-31
0
Guiding Reinforcement Learning Exploration Using Natural Language
By Brent Harrison, Upol Ehsan, Mark O. Riedl · ArXiv: 1707.08616
2017-09-15
0
Context-Independent Polyphonic Piano Onset Transcription with an Infinite Training Dataset
By Samuel Li · ArXiv: 1707.08438
2017-07-27
1
Probabilistic Graphical Models for Credibility Analysis in Evolving Online Communities
By Subhabrata Mukherjee · ArXiv: 1707.08309
2017-07-27
0
Predicting Exploitation of Disclosed Software Vulnerabilities Using Open-source Data
By Benjamin L. Bullough, Anna K. Yanchenko, Christopher L. Smith · ArXiv: 1707.08015
2017-07-26
0
Restoring a smooth function from its noisy integrals
By Olga Goulko, Nikolay Prokofev, Boris Svistunov · ArXiv: 1707.07625
2018-05-14
0
Modeling Label Ambiguity for Neural List-Wise Learning to Rank
By Rolf Jagerman, Julia Kiseleva, Maarten de Rijke · ArXiv: 1707.07493
2017-07-26
1
Language modeling with Neural trans-dimensional random fields
By Bin Wang, Zhijian Ou · ArXiv: 1707.07240
2017-09-20
1
Ultraslow diffusion in language: Dynamics of appearance of already popular adjectives on Japanese blogs
By Hayafumi Watanabe · ArXiv: 1707.07066
2017-07-31
0
Cognitive Transfer Outcomes for a Simulation-Based Introductory Statistics Curriculum
By Matthew D. Beckman, Robert C. delMas, Joan Garfield · ArXiv: 1707.06537
2017-12-05
0
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones
By Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov · ArXiv: 1707.06480
2017-07-21
3
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference
By Tianyu Wang, Marco Morucci, M. Usaid Awan · ArXiv: 1707.06315
2021-02-16
1
Crowdsourcing Multiple Choice Science Questions
By Johannes Welbl, Nelson F. Liu, Matt Gardner · ArXiv: 1707.06209
2017-07-20
0
Learning model-based planning from scratch
By Razvan Pascanu, Yujia Li, Oriol Vinyals · ArXiv: 1707.06170
2017-07-20
1
Collaborative Nested Sampling: Big Data vs. complex physical models
By Johannes Buchner · ArXiv: 1707.04476
2023-04-19
0
Model compression as constrained optimization, with application to neural nets. Part II: quantization
By Miguel A. Carreira-Perpi~nan, Yerlan Idelbayev · ArXiv: 1707.04319
2017-07-17
0