Call for Papers: T-SIPN Special Issue on Inference and Learning Over Networks
IEEE Signal Processing Society IEEE Transactions on Signal and Information Processing over Networks Special Issue on Inference and Learning Over Networks Networks are everywhere. They surround us at...
View ArticleLabTV Profiles Are Up!
And now, a little pre-ITA self-promotion. As I wrote earlier, LabTV interviewed me and a subset of the students in the lab last semester (it was opt-in). This opportunity came out of my small part in...
View ArticleUCSD Data Science Postdocs
A bit of a delayed posting due to pre-spring break crunch time, but my inimitable collaborator and ex-colleague Kamalika Chaudhuri passed along the following announcement. I write with the exciting...
View ArticleMultiple Postdoc Openings at USC
Prof. Urbashi Mitra is looking for multiple postdocs. Given that this is the time of year when the future looks murkiest, these are great opportunities! I am seeking multiple post-doctoral researchers...
View ArticleSignal boost: DPCOMP.ORG is live
I got the following email from Gerome Miklau: Dear colleagues: We are writing to inform you of the launch of DPCOMP.ORG. DPCOMP.ORG is a public website designed with the following goals in mind: (1) to...
View ArticleProblems with the KDDCup99 Data Set
I’ve used the KDDCup99 data set in a few papers for experiments, primarily because it has a large sample size and preprocessing is not too onerous. However, I recently learned (from Rebecca Wright)...
View ArticlePostdoctoral Associate at DIMACS
DIMACS, the Center for Discrete Mathematics and Theoretical Computer Science, invites applications for various postdoctoral associate positions for 2017-18. Applicants should be recent Ph.D.’s with...
View ArticleDIMACS Workshop on Distributed Optimization, Information Processing, and...
My colleague Waheed Bajwa, Alejandro Ribeiro, and Alekh Agarwal are organizing a Workshop on Distributed Optimization, Information Processing, and Learning from August 21 to August 23, 2017 at Rutgers...
View ArticleRetraction for Symmetric Matrix Perturbation for Differentially-Private...
This is somewhat difficult to write, so I’ll cut to the chase. The proposed differentially private PCA method from the ICASSP 2016 paper by my student Hafiz Imtiaz and myself is incorrect and so should...
View ArticleCFP: PPML Workshop at NIPS 2018
Privacy Preserving Machine Learning NIPS 2018 Workshop Montreal, December 8, 2018 Description This one day workshop focuses on privacy preserving techniques for training, inference, and disclosure in...
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