122 citations · 135 across the 8 of their papers we have counts for
8 papers
Dual-arm Coordinated Manipulation for Object Twisting with Human Intelligence
Weibang Bai, Ningshan Zhang, Baoru Huang +5
Robotic dual-arm twisting is a common but very challenging task in both industrial production and daily services, as it often requires dexterous collaboration, a large scale of end…
A Discriminative Technique for Multiple-Source Adaptation
Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh +1
We present a new discriminative technique for the multiple-source adaptation, MSA, problem. Unlike previous work, which relies on density estimation for each source domain, our sol…
Adaptive Region-Based Active Learning
Corinna Cortes, Giulia DeSalvo, Claudio Gentile +2
We present a new active learning algorithm that adaptively partitions the input space into a finite number of regions, and subsequently seeks a distinct predictor for each region,…
Learning GANs and Ensembles Using Discrepancy
Ben Adlam, Corinna Cortes, Mehryar Mohri +1
Generative adversarial networks (GANs) generate data based on minimizing a divergence between two distributions. The choice of that divergence is therefore critical. We argue that…
Joint Latent Class Trees: A Tree-Based Approach to Modeling Time-to-event and Longitudinal Data
Ningshan Zhang, Jeffrey S. Simonoff
In this paper, we propose a semiparametric, tree based joint latent class modeling approach (JLCT) to model the joint behavior of longitudinal and time-to-event data. Existing join…
Fitting a deeply-nested hierarchical model to a large book review dataset using a moment-based estimator
Ningshan Zhang, Kyle Schmaus, Patrick O. Perry
We consider a particular instance of a common problem in recommender systems: using a database of book reviews to inform user-targeted recommendations. In our dataset, books are ca…
Algorithms and Theory for Multiple-Source Adaptation
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
This work includes a number of novel contributions for the multiple-source adaptation problem. We present new normalized solutions with strong theoretical guarantees for the cross-…
Multiple-Source Adaptation for Regression Problems
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
We present a detailed theoretical analysis of the problem of multiple-source adaptation in the general stochastic scenario, extending known results that assume a single target labe…