activity
20192024
most citedDAG-GNN: DAG Structure Learning with Graph Neural Networks

129 citations · 215 across the 11 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CL2019★ 8 cited

Do Multi-hop Readers Dream of Reasoning Chains?

Haoyu Wang, Mo Yu, Xiaoxiao Guo +3

General Question Answering (QA) systems over texts require the multi-hop reasoning capability, i.e. the ability to reason with information collected from multiple passages to deriv…

cs.CL2019★ 22 cited

Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering

Ameya Godbole, Dilip Kavarthapu, Rajarshi Das +8

Multi-hop question answering (QA) requires an information retrieval (IR) system that can find \emph{multiple} supporting evidence needed to answer the question, making the retrieva…

cs.LG2019★ 7 cited

Characterization of Overlap in Observational Studies

Michael Oberst, Fredrik D. Johansson, Dennis Wei +4

Overlap between treatment groups is required for non-parametric estimation of causal effects. If a subgroup of subjects always receives the same intervention, we cannot estimate th…

cs.LG2019★ 16 cited

Generalized Linear Rule Models

Dennis Wei, Sanjeeb Dash, Tian Gao +1

This paper considers generalized linear models using rule-based features, also referred to as rule ensembles, for regression and probabilistic classification. Rules facilitate mode…

cs.LG2019★ 129 cited

DAG-GNN: DAG Structure Learning with Graph Neural Networks

Yue Yu, Jie Chen, Tian Gao +1

Learning a faithful directed acyclic graph (DAG) from samples of a joint distribution is a challenging combinatorial problem, owing to the intractable search space superexponential…

cs.LG2019

A Sequential Set Generation Method for Predicting Set-Valued Outputs

Tian Gao, Jie Chen, Vijil Chenthamarakshan +1

Consider a general machine learning setting where the output is a set of labels or sequences. This output set is unordered and its size varies with the input. Whereas multi-label c…