4 citations · 12 across the 16 of their papers we have counts for
4 papers · 1 filter
Learning Unnormalized Statistical Models via Compositional Optimization
Wei Jiang, Jiayu Qin, Lingyu Wu +3
Learning unnormalized statistical models (e.g., energy-based models) is computationally challenging due to the complexity of handling the partition function. To eschew this complex…
Evolving Testing Scenario Generation Method and Intelligence Evaluation Framework for Automated Vehicles
Yining Ma, Wei Jiang, Lingtong Zhang +5
Interaction between the background vehicles (BVs) and automated vehicles (AVs) in scenario-based testing plays a critical role in evaluating the intelligence of the AVs. Current te…
Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees
Yibo Wang, Wenhao Yang, Wei Jiang +5
Projection-free online learning has drawn increasing interest due to its efficiency in solving high-dimensional problems with complicated constraints. However, most existing projec…
A Privacy-Preserving Finite-Time Push-Sum based Gradient Method for Distributed Optimization over Digraphs
Xiaomeng Chen, Wei Jiang, Themistoklis Charalambous +1
This paper addresses the problem of distributed optimization, where a network of agents represented as a directed graph (digraph) aims to collaboratively minimize the sum of their…