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20242026
most citedA General Framework for Clustering and Distribution Matching with Bandit Feedback

4 citations · 4 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.LG2026

Bayesian Fixed-Confidence Best-Arm Identification with Abstention

Yuqi Huang, Yunlong Hou, Vincent Y. F. Tan

We study the Bayesian fixed-confidence best-arm identification problem in which a learner can abstain from making a terminal recommendation. Subject to a target error probability $…

cs.LG2026

SPec: Adaptive Self-Speculative Decoding for Vision-Language Models

Yuqi Huang, Xingyao Li, Yunlong Hou +3

Speculative Decoding (SD) has demonstrated its efficacy in accelerating large language model inference, but for Vision-Language Models (VLMs), the diverse input modalities make it…

cs.LG2026

Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization

Yuqi Huang, Vincent Y. F. Tan, Sharu Theresa Jose

We investigate Gaussian process (GP) bandit optimization with quantum kernels, assuming the mean reward function lies in the reproducing kernel Hilbert space (RKHS) induced by the…

cs.LG2026

Bayesian Best-Arm Identification with Abstention: A Polynomial-to-Exponential Phase Transition

Yuqi Huang, Yunlong Hou, Vincent Y. F. Tan

We study the Bayesian fixed-budget best-arm identification problem in which a learner can abstain from making a terminal recommendation. Subject to an abstention budget , we ana…

cs.LG2026

Quantum-Enhanced Neural Contextual Bandit Algorithms

Yuqi Huang, Vincent Y. F Tan, Sharu Theresa Jose

Stochastic contextual bandits are fundamental for sequential decision-making but pose significant challenges for existing neural network-based algorithms, particularly when scaling…

cs.LG2025

PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling

Kai Yang, Yuqi Huang, Junheng Tao +2

Modeling 3D dynamics is a fundamental problem in multi-body systems across scientific and engineering domains and has important practical implications in object trajectory predicti…

cs.LG2024★ 4 cited

A General Framework for Clustering and Distribution Matching with Bandit Feedback

Recep Can Yavas, Yuqi Huang, Vincent Y. F. Tan +1

We develop a general framework for clustering and distribution matching problems with bandit feedback. We consider a -armed bandit model where some subset of arms is partiti…