2 papers
cs.LG2026
Extending Causal Metamodeling to a non-Markovian Queue
Pracheta Amaranath, Anant Bhide, David Jensen +1
Metamodels for discrete-event simulations approximate the behavior of simulation models without running expensive simulations. Prior work introduced modular dynamic Bayesian networ…
cs.LG2026
Improving Generative Methods for Causal Evaluation via Simulation-Based Inference
Pracheta Amaranath, Vinitra Muralikrishnan, Amit Sharma +1
Generating synthetic datasets that accurately reflect real-world observational data is critical for evaluating causal estimators, but it remains a challenging task. Existing genera…