5 papers
Autocorrelated Optimize-via-Estimate: Predict-then-Optimize versus Finite-sample Optimal
Zichun Wang, Gar Goei Loke, Ruiting Zuo
Models that directly optimize for out-of-sample performance in the finite-sample regime have emerged as a promising alternative to traditional estimate-then-optimize approaches in…
From Continuous to Discrete: a No-U-Turn Sampler for Permutations
Nawaf Bou-Rabee, Zichu Wang
We introduce a discrete-space analogue of the No-U-Turn sampler on the symmetric group , yielding a locally adaptive and reversible Markov chain Monte Carlo method for $\mathr…
"I Can See Forever!": Evaluating Real-time VideoLLMs for Assisting Individuals with Visual Impairments
Ziyi Zhang, Zhen Sun, Zongmin Zhang +6
The visually impaired population faces significant challenges in daily activities. While prior works employ vision language models for assistance, most focus on static content and…
Nonholonomic Narrow Dead-End Escape with Deep Reinforcement Learning
Denghan Xiong, Yanzhe Zhao, Yutong Chen +1
Nonholonomic constraints restrict feasible velocities without reducing configuration-space dimension, which makes collision-free geometric paths generally non-executable for car-li…
Optimal transport with a density-dependent cost function
Zichu Wang, Esteban G. Tabak
A new pairwise cost function is proposed for the optimal transport barycenter problem, adopting the form of the minimal action between two points, with a Lagrangian that takes into…