8 citations · 16 across the 14 of their papers we have counts for
3 papers · 1 filter
Provably tuning the ElasticNet across instances
Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma +1
An important unresolved challenge in the theory of regularization is to set the regularization coefficients of popular techniques like the ElasticNet with general provable guarante…
Accelerating ERM for data-driven algorithm design using output-sensitive techniques
Maria-Florina Balcan, Christopher Seiler, Dravyansh Sharma
Data-driven algorithm design is a promising, learning-based approach for beyond worst-case analysis of algorithms with tunable parameters. An important open problem is the design o…
Robustly-reliable learners under poisoning attacks
Maria-Florina Balcan, Avrim Blum, Steve Hanneke +1
Data poisoning attacks, in which an adversary corrupts a training set with the goal of inducing specific desired mistakes, have raised substantial concern: even just the possibilit…