4 citations · 4 across the 4 of their papers we have counts for
11 papers
Evolutionary Multi-Armed Bandits with Genetic Thompson Sampling
Baihan Lin
As two popular schools of machine learning, online learning and evolutionary computations have become two important driving forces behind real-world decision making engines for app…
Deep Annotation of Therapeutic Working Alliance in Psychotherapy
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf
The therapeutic working alliance is an important predictor of the outcome of the psychotherapy treatment. In practice, the working alliance is estimated from a set of scoring quest…
Geometric and Topological Inference for Deep Representations of Complex Networks
Baihan Lin
Understanding the deep representations of complex networks is an important step of building interpretable and trustworthy machine learning applications in the age of internet. Glob…
Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward
Baihan Lin
We considered a novel practical problem of online learning with episodically revealed rewards, motivated by several real-world applications, where the contexts are nonstationary ov…
Keep It Real: a Window to Real Reality in Virtual Reality
Baihan Lin
This paper proposed a new interaction paradigm in the virtual reality (VR) environments, which consists of a virtual mirror or window projected onto a virtual surface, representing…
Visualizing Representational Dynamics with Multidimensional Scaling Alignment
Baihan Lin, Marieke Mur, Tim Kietzmann +1
Representational similarity analysis (RSA) has been shown to be an effective framework to characterize brain-activity profiles and deep neural network activations as representation…