1 citations · 1 across the 9 of their papers we have counts for
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The AI Side of the Human-AI Companion Relationship: Contributions to Users' Mental Models
Richard A. Fabes, Carol Lynn Martin, Gautam Dasarathy +1
For many users, the relationship they have with an AI companion (AIC) feels genuinely mutual. The AIC appears to be attentive, empathic, and responsive, and the exchange can feel l…
Online Adaptive Kernel Mixing for Gaussian Process Decision Making
Kavin Aravindan, Mani Tej Sriram, Gautam Dasarathy +1
Gaussian Processes (GPs) are widely used as surrogates for black-box functions in sequential decision-making problems such as Bayesian optimization (BO), level set estimation (LSE)…
Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics
Vignesh Tirukkonda, Gautam Dasarathy
Gaussian graphical model selection is usually studied under independent sampling, but in many applications the data arise as a single trajectory of a dependent stochastic process.…
Stochastic Linear Bandits with Partially Observed Actions
Gautam Dasarathy, Vineet Gattani, Lalit Jain
The stochastic linear bandit, where actions are represented as vectors and rewards are linear, is a central paradigm for sequential decision making. We study a partially observed v…