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DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting
  Algorithms under Distributional Shift

DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift

17 November 2022
Defu Cao
Yousef El-Laham
Loc Trinh
Svitlana Vyetrenko
Y. Liu
ArXivPDFHTML

Papers citing "DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift"

9 / 9 papers shown
Title
LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
Peer Nagy
Sascha Frey
Kang Li
Bidipta Sarkar
Svitlana Vyetrenko
Stefan Zohren
Ani Calinescu
Jakob Foerster
84
1
0
13 Feb 2025
Multi-Step Time Series Inference Agent for Reasoning and Automated Task Execution
Multi-Step Time Series Inference Agent for Reasoning and Automated Task Execution
Wen Ye
Yizhou Zhang
Wei Yang
Lumingyuan Tang
Defu Cao
Jie Cai
Yan Liu
BDL
CoGe
AI4TS
36
2
0
05 Oct 2024
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations
Xiongye Xiao
De-An Cao
Ruochen Yang
Gaurav Gupta
Gengshuo Liu
Chenzhong Yin
R. Balan
P. Bogdan
66
9
0
04 Mar 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time
  Series Forecasting
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
Wei Fan
Pengyang Wang
Dongkun Wang
Dongjie Wang
Yuanchun Zhou
Yanjie Fu
AI4TS
19
75
0
22 Feb 2023
Augmented Bilinear Network for Incremental Multi-Stock Time-Series
  Classification
Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification
M. Shabani
D. Tran
J. Kanniainen
Alexandros Iosifidis
OOD
AIFin
19
6
0
23 Jul 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
873
0
21 Oct 2021
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
215
201
0
21 Oct 2021
Deep Visual Domain Adaptation
Deep Visual Domain Adaptation
G. Csurka
OOD
130
185
0
28 Dec 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
237
319
0
21 Aug 2019
1