Ashwin Venkataraman

Orcid: 0000-0002-6182-2361

According to our database1, Ashwin Venkataraman authored at least 12 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Frontiers in Operations: News Event-Driven Forecasting of Commodity Prices.
Manuf. Serv. Oper. Manag., 2024

Estimating Large-Scale Tree Logit Models.
Oper. Res., 2024

2021
CollectiveTeach: A System To Generate And Sequence Web-Annotated Lesson Plans.
Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

2020
A Conditional Gradient Approach for Nonparametric Estimation of Mixing Distributions.
Manag. Sci., 2020

2018
Rethinking Customer Segmentation and Demand Learning in the Presence of Sparse, Diverse, and Large-scale Data.
PhD thesis, 2018

A Model-Based Embedding Technique for Segmenting Customers.
Oper. Res., 2018

X-ray image guidance workflow development for in-vivo aneurysm treatment using a new retrievable asymmetric flow diverter (RAFD).
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Use of material decomposition in the context of neurovascular intervention using standard flat panel and a high-resolution CMOS detector.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

2017
Identifying Unreliable and Adversarial Workers in Crowdsourced Labeling Tasks.
J. Mach. Learn. Res., 2017

A Model-based Projection Technique for Segmenting Customers.
CoRR, 2017

2016
Predicting Socio-Economic Indicators using News Events.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014
Reputation-based Worker Filtering in Crowdsourcing.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014


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