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10 Program Highlights »
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Oral
Thu Dec 12th 03:50 -- 04:05 PM @ West Exhibition Hall C + B3
Average Individual Fairness: Algorithms, Generalization and Experiments
Saeed Sharifi-Malvajerdi · Michael Kearns · Aaron Roth
Spotlight
Thu Dec 12th 04:05 -- 04:10 PM @ West Exhibition Hall C + B3
Ask not what AI can do, but what AI should do: Towards a framework of task delegability
Brian Lubars · Chenhao Tan
Spotlight
Thu Dec 12th 04:10 -- 04:15 PM @ West Exhibition Hall C + B3
Making AI Forget You: Data Deletion in Machine Learning
Antonio Ginart · Melody Guan · Gregory Valiant · James Zou
Spotlight
Thu Dec 12th 04:15 -- 04:20 PM @ West Exhibition Hall C + B3
On Testing for Biases in Peer Review
Ivan Stelmakh · Nihar Shah · Aarti Singh
Spotlight
Thu Dec 12th 04:20 -- 04:25 PM @ West Exhibition Hall C + B3
A Step Toward Quantifying Independently Reproducible Machine Learning Research
Edward Raff
Oral
Thu Dec 12th 04:25 -- 04:40 PM @ West Exhibition Hall C + B3
On Robustness of Principal Component Regression
Anish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song
Spotlight
Thu Dec 12th 04:40 -- 04:45 PM @ West Exhibition Hall C + B3
Private Learning Implies Online Learning: An Efficient Reduction
Alon Gonen · Elad Hazan · Shay Moran
Spotlight
Thu Dec 12th 04:45 -- 04:50 PM @ West Exhibition Hall C + B3
Private Stochastic Convex Optimization with Optimal Rates
Raef Bassily · Vitaly Feldman · Kunal Talwar · Abhradeep Guha Thakurta
Spotlight
Thu Dec 12th 04:50 -- 04:55 PM @ West Exhibition Hall C + B3
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition
David Durfee · Ryan Rogers
Spotlight
Thu Dec 12th 04:55 -- 05:00 PM @ West Exhibition Hall C + B3
Differentially Private Markov Chain Monte Carlo
Mikko Heikkilä · Joonas Jälkö · Onur Dikmen · Antti Honkela