101 citations · 573 across the 65 of their papers we have counts for
6 papers · 1 filter
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting
Linyi Yang, Jiazheng Li, Ruihai Dong +2
Financial forecasting has been an important and active area of machine learning research because of the challenges it presents and the potential rewards that even minor improvement…
Supervised Off-Policy Ranking
Yue Jin, Yue Zhang, Tao Qin +4
Off-policy evaluation (OPE) is to evaluate a target policy with data generated by other policies. Most previous OPE methods focus on precisely estimating the true performance of a…
openXDATA: A Tool for Multi-Target Data Generation and Missing Label Completion
Felix Weninger, Yue Zhang, Rosalind W. Picard
A common problem in machine learning is to deal with datasets with disjoint label spaces and missing labels. In this work, we introduce the openXDATA tool that completes the missin…
RelEx: A Model-Agnostic Relational Model Explainer
Yue Zhang, David Defazio, Arti Ramesh
In recent years, considerable progress has been made on improving the interpretability of machine learning models. This is essential, as complex deep learning models with millions…
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors
Yue Zhang, Arti Ramesh
The mixed membership stochastic blockmodel (MMSB) is a popular framework for community detection and network generation. It learns a low-rank mixed membership representation for ea…
Learning Fairness-aware Relational Structures
Yue Zhang, Arti Ramesh
The development of fair machine learning models that effectively avert bias and discrimination is an important problem that has garnered attention in recent years. The necessity of…