989 citations · 989 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Decision-Focused Active Learning for Scale-Aware Critical-Materials Recovery
Niranjan Srinivas, Debajyoti Ray, Elias Nakouzi
Choosing a recovery process for scale-up requires connecting laboratory results with product requirements, process costs, and scale effects. We analyze records from Pacific Northwe…
cs.AI2026
Cost-Aware Recovery-Pathway Identification and Bayesian Optimization for Autonomous Materials Discovery
Debajyoti Ray, Niranjan Srinivas
Autonomous laboratories automate experimental execution, but a campaign must also decide which recovery pathway merits optimization. We formulate this as a sequential decision prob…
cs.LG2009★ 989 cited
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas, Andreas Krause, Sham M. Kakade +1
Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multi-armed bandit problem, where the payoff function is…