1 citations · 1 across the 6 of their papers we have counts for
6 papers
Rare Event Estimation via Iterative Unalignment
Hanming Yang, Daksh Mittal, Jing Dong +1
As agents are deployed with increased autonomy, even extremely rare events along their stochastic output trajectories can occur and prove catastrophic. Safe deployment therefore do…
Service-Induced Congestion in Memory-Constrained LLM Serving
Ruicheng Ao, Jing Dong, Gan Luo +1
In large language model (LLM) serving, each request accumulates persistent graphics processing unit (GPU) memory during service as its key-value cache grows with every generated to…
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…
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
Haozhe Chen, Ang Li, Ethan Che +3
Queuing network control determines the allocation of scarce resources to manage congestion, a fundamental problem in manufacturing, communications, and healthcare. Compared to stan…
Stochastic Gradient Descent with Adaptive Data
Ethan Che, Jing Dong, Xin T. Tong
Stochastic gradient descent (SGD) is a powerful optimization technique that is particularly useful in online learning scenarios. Its convergence analysis is relatively well underst…
Differentiable Discrete Event Simulation for Queuing Network Control
Ethan Che, Jing Dong, Hongseok Namkoong
Queuing network control is essential for managing congestion in job-processing systems such as service systems, communication networks, and manufacturing processes. Despite growing…