67 citations · 358 across the 36 of their papers we have counts for
43 papers
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…
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
Shahrzad Haddadan, Yue Zhuang, Cyrus Cousins +1
We present a novel method for reducing the computational complexity of rigorously estimating the partition functions (normalizing constants) of Gibbs (Boltzmann) distributions, whi…
RePBubLik: Reducing the Polarized Bubble Radius with Link Insertions
Shahrzad Haddadan, Cristina Menghini, Matteo Riondato +1
The topology of the hyperlink graph among pages expressing different opinions may influence the exposure of readers to diverse content. Structural bias may trap a reader in a polar…