3 papers
cs.LG2025
Data-Driven Stochastic Modeling Using Autoregressive Sequence Models: Translating Event Tables to Queueing Dynamics
Daksh Mittal, Shunri Zheng, Jing Dong +1
While queueing network models are powerful tools for analyzing service systems, they traditionally require substantial human effort and domain expertise to construct. To make this…
cs.LG2025
Architectural and Inferential Inductive Biases For Exchangeable Sequence Modeling
Daksh Mittal, Ang Li, Tzu-Ching Yen +2
Autoregressive models have emerged as a powerful framework for modeling exchangeable sequences - i.i.d. observations when conditioned on some latent factor - enabling direct modeli…
cs.LG2025
A Planning Framework for Adaptive Labeling
Daksh Mittal, Yuanzhe Ma, Shalmali Joshi +1
Ground truth labels/outcomes are critical for advancing scientific and engineering applications, e.g., evaluating the treatment effect of an intervention or performance of a predic…