5 citations · 14 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
Split Q Learning: Reinforcement Learning with Two-Stream Rewards
Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi
Drawing an inspiration from behavioral studies of human decision making, we propose here a general parametric framework for a reinforcement learning problem, which extends the stan…
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf +2
Drawing an inspiration from behavioral studies of human decision making, we propose here a more general and flexible parametric framework for reinforcement learning that extends st…