1 citations · 2 across the 6 of their papers we have counts for
6 papers · 1 filter
tensorFM: Low-Rank Approximations of Cross-Order Feature Interactions
Alessio Mazzetto, Mohammad Mahdi Khalili, Laura Fee Nern +3
We address prediction problems on tabular categorical data, where each instance is defined by multiple categorical attributes, each taking values from a finite set. These attribute…
An Improved Algorithm for Learning Drifting Discrete Distributions
Alessio Mazzetto
We present a new adaptive algorithm for learning discrete distributions under distribution drift. In this setting, we observe a sequence of independent samples from a discrete dist…
An Adaptive Method for Weak Supervision with Drifting Data
Alessio Mazzetto, Reza Esfandiarpoor, Akash Singirikonda +2
We introduce an adaptive method with formal quality guarantees for weak supervision in a non-stationary setting. Our goal is to infer the unknown labels of a sequence of data by us…
An Adaptive Algorithm for Learning with Unknown Distribution Drift
Alessio Mazzetto, Eli Upfal
We develop and analyze a general technique for learning with an unknown distribution drift. Given a sequence of independent observations from the last steps of a drifting distr…
Nonparametric Density Estimation under Distribution Drift
Alessio Mazzetto, Eli Upfal
We study nonparametric density estimation in non-stationary drift settings. Given a sequence of independent samples taken from a distribution that gradually changes in time, the go…
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
Alessio Mazzetto, Cristina Menghini, Andrew Yuan +2
We develop a rigorous mathematical analysis of zero-shot learning with attributes. In this setting, the goal is to label novel classes with no training data, only detectors for att…