Accurate MapReduce Algorithms for k-Median and k-Means in General Metric Spaces. - Alessio Mazzetto; Andrea Pietracaprina; Geppino Pucci (ISAAC, 2019)

Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees. - Alessio Mazzetto; Dylan Sam; Andrew Park; Eli Upfal; Stephen H. Bach (AISTATS, 2021)

Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees. - Alessio Mazzetto; Cyrus Cousins; Dylan Sam; Stephen H. Bach; Eli Upfal (ICML, 2021)

Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes. - Alessio Mazzetto; Cristina Menghini; Andrew Yuan; Eli Upfal; Stephen H. Bach (NeurIPS, 2022)

Nonparametric Density Estimation under Distribution Drift. - Alessio Mazzetto; Eli Upfal (ICML, 2023)

An Adaptive Algorithm for Learning with Unknown Distribution Drift. - Alessio Mazzetto; Eli Upfal (NeurIPS, 2023)

An Adaptive Method for Weak Supervision with Drifting Data. - Alessio Mazzetto; Reza Esfandiarpoor; Eli Upfal; Stephen H. Bach (CoRR, 2023)

An Improved Algorithm for Learning Drifting Discrete Distributions. - Alessio Mazzetto (AISTATS, 2024)

MapReduce algorithms for robust center-based clustering in doubling metrics. - Enrico Dandolo; Alessio Mazzetto; Andrea Pietracaprina; Geppino Pucci (J. Parallel Distributed Comput., 2024)

An Adaptive Method for Weak Supervision with Drifting Data. - Alessio Mazzetto; Reza Esfandiarpoor; Akash Singirikonda; Eli Upfal; Stephen H. Bach (AISTATS, 2025)

Center-Based Approximation of a Drifting Distribution. - Alessio Mazzetto; Matteo Ceccarello; Andrea Pietracaprina; Geppino Pucci; Eli Upfal (ALT, 2025)