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Workshop
LoopStack: ML-friendly ML Compiler Stack
Bram Wasti · Dejan Grubisic · Benoit Steiner · Aleksandar Zlateski
Tutorial
Mon 17:00 Fair and Socially Responsible ML for Recommendations: Challenges and Perspectives
Ashudeep Singh · Manish Raghavan · Hannah Korevaar
Poster
Wed 9:00 Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?
Rishi Bommasani · Kathleen A. Creel · Ananya Kumar · Dan Jurafsky · Percy Liang
Workshop
A Theory of Learning with Competing Objectives and User Feedback
Pranjal Awasthi · Corinna Cortes · Yishay Mansour · Mehryar Mohri
Poster
Tue 9:00 Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Sérgio Jesus · José Pombal · Duarte Alves · André Cruz · Pedro Saleiro · Rita Ribeiro · João Gama · Pedro Bizarro
Workshop
Fri 12:41 A Theory of Learning with Competing Objectives and User Feedback
Pranjal Awasthi · Corinna Cortes · Yishay Mansour · Mehryar Mohri