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2020 – today
- 2024
[c7]Alessio Mazzetto:
An Improved Algorithm for Learning Drifting Discrete Distributions. AISTATS 2024: 4159-4167- [i6]Alessio Mazzetto:
An Improved Algorithm for Learning Drifting Discrete Distributions. CoRR abs/2403.05446 (2024) - 2023
- [c6]Alessio Mazzetto, Eli Upfal:
Nonparametric Density Estimation under Distribution Drift. ICML 2023: 24251-24270 - [c5]Alessio Mazzetto, Eli Upfal:
An Adaptive Algorithm for Learning with Unknown Distribution Drift. NeurIPS 2023 - [i5]Alessio Mazzetto, Eli Upfal:
Nonparametric Density Estimation under Distribution Drift. CoRR abs/2302.02460 (2023) - [i4]Alessio Mazzetto, Eli Upfal:
An Adaptive Algorithm for Learning with Unknown Distribution Drift. CoRR abs/2305.02252 (2023) - [i3]Alessio Mazzetto, Reza Esfandiarpoor, Eli Upfal, Stephen H. Bach:
An Adaptive Method for Weak Supervision with Drifting Data. CoRR abs/2306.01658 (2023) - 2022
- [c4]Alessio Mazzetto, Cristina Menghini, Andrew Yuan, Eli Upfal, Stephen H. Bach:
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes. NeurIPS 2022 - [i2]Alessio Mazzetto, Cristina Menghini, Andrew Yuan, Eli Upfal, Stephen H. Bach:
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes. CoRR abs/2205.13068 (2022) - 2021
- [c3]Alessio Mazzetto, Dylan Sam, Andrew Park, Eli Upfal, Stephen H. Bach:
Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees. AISTATS 2021: 3196-3204 - [c2]Alessio Mazzetto, Cyrus Cousins, Dylan Sam, Stephen H. Bach, Eli Upfal:
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees. ICML 2021: 7534-7543
2010 – 2019
- 2019
- [c1]Alessio Mazzetto, Andrea Pietracaprina, Geppino Pucci
:
Accurate MapReduce Algorithms for k-Median and k-Means in General Metric Spaces. ISAAC 2019: 34:1-34:16 - [i1]Alessio Mazzetto, Andrea Pietracaprina, Geppino Pucci:
Accurate MapReduce Algorithms for $k$-median and $k$-means in General Metric Spaces. CoRR abs/1904.12728 (2019)
Coauthor Index
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