1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
Learning-to-learn non-convex piecewise-Lipschitz functions
Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma +1
We analyze the meta-learning of the initialization and step-size of learning algorithms for piecewise-Lipschitz functions, a non-convex setting with applications to both machine le…
Data driven semi-supervised learning
Maria-Florina Balcan, Dravyansh Sharma
We consider a novel data driven approach for designing learning algorithms that can effectively learn with only a small number of labeled examples. This is crucial for modern machi…
Learning piecewise Lipschitz functions in changing environments
Maria-Florina Balcan, Travis Dick, Dravyansh Sharma
Optimization in the presence of sharp (non-Lipschitz), unpredictable (w.r.t. time and amount) changes is a challenging and largely unexplored problem of great significance. We cons…