3 papers
cs.LG2024
Active Learning with Simple Questions
Vasilis Kontonis, Mingchen Ma, Christos Tzamos
We consider an active learning setting where a learner is presented with a pool S of n unlabeled examples belonging to a domain X and asks queries to find the underlying labeling t…
cs.DS2023
Buying Information for Stochastic Optimization
Mingchen Ma, Christos Tzamos
Stochastic optimization is one of the central problems in Machine Learning and Theoretical Computer Science. In the standard model, the algorithm is given a fixed distribution know…
cs.LG2022
Clustering with Queries under Semi-Random Noise
Alberto Del Pia, Mingchen Ma, Christos Tzamos
The seminal paper by Mazumdar and Saha \cite{MS17a} introduced an extensive line of work on clustering with noisy queries. Yet, despite significant progress on the problem, the pro…