3 citations · 5 across the 5 of their papers we have counts for
5 papers
Transfer Learning Beyond Bounded Density Ratios
Alkis Kalavasis, Ilias Zadik, Manolis Zampetakis
We study the fundamental problem of transfer learning where a learning algorithm collects data from some source distribution but needs to perform well with respect to a differe…
Sorting from Crowdsourced Comparisons using Expert Verifications
Ellen Vitercik, Manolis Zampetakis, David Zhang
We introduce a novel noisy sorting model motivated by the Just Noticeable Difference (JND) model from experimental psychology. The goal of our model is to capture the low quality o…
On the Complexity of Deterministic Nonsmooth and Nonconvex Optimization
Michael I. Jordan, Tianyi Lin, Manolis Zampetakis
In this paper, we present several new results on minimizing a nonsmooth and nonconvex function under a Lipschitz condition. Recent work shows that while the classical notion of Cla…
Efficient Truncated Linear Regression with Unknown Noise Variance
Constantinos Daskalakis, Patroklos Stefanou, Rui Yao +1
Truncated linear regression is a classical challenge in Statistics, wherein a label, , and its corresponding feature vector, , are only…
Faster Sublinear Algorithms using Conditional Sampling
Themistoklis Gouleakis, Christos Tzamos, Manolis Zampetakis
A conditional sampling oracle for a probability distribution D returns samples from the conditional distribution of D restricted to a specified subset of the domain. A recent line…