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cs.LG2026
SymQNet: Amortized Acquisition for Low-Latency Adaptive Hamiltonian Learning
Yash Vardhan Tomar, Dheeraj Peddireddy
Adaptive Hamiltonian learning is central to calibrating and characterizing quantum devices. In an adaptive controller, choosing the next experiment is itself a computation. Bayesia…
cs.LG2020
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding
Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal +2
Bayesian optimization is a framework for global search via maximum a posteriori updates rather than simulated annealing, and has gained prominence for decision-making under uncerta…