9 citations · 23 across the 4 of their papers we have counts for
4 papers
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
Han Guo, Ramakanth Pasunuru, Mohit Bansal
Domain adaptation performance of a learning algorithm on a target domain is a function of its source domain error and a divergence measure between the data distribution of these tw…
Butterfly factorization via randomized matrix-vector multiplications
Yang Liu, Xin Xing, Han Guo +3
This paper presents an adaptive randomized algorithm for computing the butterfly factorization of a matrix with provided that both the matrix and its trans…
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning
Han Guo, Ramakanth Pasunuru, Mohit Bansal
Multi-task learning (MTL) has achieved success over a wide range of problems, where the goal is to improve the performance of a primary task using a set of relevant auxiliary tasks…
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated
Namrata Vaswani, Han Guo
Given a matrix of observed data, Principal Components Analysis (PCA) computes a small number of orthogonal directions that contain most of its variability. Provably accurate soluti…