Machine representation of data analyses: Towards a platform for collaborative data science
- Evan Patterson
- Ioana Baldini
- et al.
- 2017
- AAAI-SS 2017
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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135 results for Kush R. Varshney
Interpretable machine learning via convex cardinal shape composition
- Kush R. Varshney
- 2016
- Allerton 2016
Information retrieval, fusion, completion, and clustering for employee expertise estimation
- Raya Horesh
- Kush R. Varshney
- et al.
- 2016
- Big Data 2016
Dynamic matrix factorization with social influence
- Aleksandr Y. Aravkin
- Kush R. Varshney
- et al.
- 2016
- MLSP 2016
Learning sparse two-level boolean rules
- Guolong Su
- Dennis Wei
- et al.
- 2016
- MLSP 2016
Fidelity loss in distribution-preserving anonymization and histogram equalization
- Lav R. Varshney
- Kush R. Varshney
- 2016
- CISS 2016
Optigrow: People Analytics for Job Transfers
- Dennis Wei
- Kush R. Varshney
- et al.
- 2015
- BigData Congress 2015
Learning interpretable classification rules using sequential rowsampling
- Sanjeeb Dash
- Dmitry Malioutov
- et al.
- 2015
- ICASSP 2015
Persistent topology of decision boundaries
- Kush R. Varshney
- Karthikeyan Natesan Ramamurthy
- 2015
- ICASSP 2015
Robust binary hypothesis testing under contaminated likelihoods
- Dennis Wei
- Kush R. Varshney
- 2015
- ICASSP 2015