activity
20192022
most citedAnalytical Modeling of k33 Mode Partial Electrode Configuration for Loss Characterization

10 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022

TAME: Task Agnostic Continual Learning using Multiple Experts

Haoran Zhu, Maryam Majzoubi, Arihant Jain +1

The goal of lifelong learning is to continuously learn from non-stationary distributions, where the non-stationarity is typically imposed by a sequence of distinct tasks. Prior wor…

cs.LG2020★ 6 cited

Efficient Contextual Bandits with Continuous Actions

Maryam Majzoubi, Chicheng Zhang, Rajan Chari +3

We create a computationally tractable algorithm for contextual bandits with continuous actions having unknown structure. Our reduction-style algorithm composes with most supervised…

physics.app-ph2020★ 10 cited

Analytical Modeling of k33 Mode Partial Electrode Configuration for Loss Characterization

Yoonsang Park, Maryam Majzoubi, Yuxuan Zhang +3

Accurate determination of three types of losses (dielectric, elastic and piezoelectric) in piezoelectric materials is critical, since they are closely related to the performance of…

physics.app-ph2020★ 2 cited

Improvement of the Standard Characterization Method on k33 Mode Piezoelectric Specimens

Yoonsang Park, Yuxuan Zhang, Maryam Majzoubi +3

Even though standard method to determine physical parameters of piezoelectric materials has been set up for several decades, bare attention has been made on loss determination meth…

cs.LG2019★ 7 cited

LdSM: Logarithm-depth Streaming Multi-label Decision Trees

Maryam Majzoubi, Anna Choromanska

We consider multi-label classification where the goal is to annotate each data point with the most relevant of labels from an extremely large label set. Efficient…