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Yuguang Yue
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 14
Top Topics
Categorical Variables
Top Venues
CoRR
ICML
AISTATS
KDD
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Publications
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Sanchit Sinha
,
Yuguang Yue
,
Victor Soto
,
Mayank Kulkarni
,
Jianhua Lu
,
Aidong Zhang
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning.
KDD
(2024)
Sanchit Sinha
,
Yuguang Yue
,
Victor Soto
,
Mayank Kulkarni
,
Jianhua Lu
,
Aidong Zhang
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning.
CoRR
(2024)
Yuguang Yue
,
Yuanpu Xie
,
Huasen Wu
,
Haofeng Jia
,
Shaodan Zhai
,
Wenzhe Shi
,
Jonathan J. Hunt
Learning to Rank For Push Notifications Using Pairwise Expected Regret.
CoRR
(2022)
Yuguang Yue
,
Yunhao Tang
,
Mingzhang Yin
,
Mingyuan Yin
Discrete Action On-Policy Learning with Action-Value Critic.
CoRR
(2020)
Yuguang Yue
,
Zhendong Wang
,
Mingyuan Zhou
Implicit Distributional Reinforcement Learning.
NeurIPS
(2020)
Yuguang Yue
,
Yunhao Tang
,
Mingzhang Yin
,
Mingyuan Zhou
Discrete Action On-Policy Learning with Action-Value Critic.
AISTATS
(2020)
Xinjie Fan
,
Yuguang Yue
,
Purnamrita Sarkar
,
Y. X. Rachel Wang
On hyperparameter tuning in general clustering problemsm.
ICML
(2020)
Wenyuan Li
,
Zichen Wang
,
Yuguang Yue
,
Jiayun Li
,
William Speier
,
Mingyuan Zhou
,
Corey W. Arnold
Semi-supervised learning using adversarial training with good and bad samples.
Mach. Vis. Appl.
31 (6) (2020)
Yuguang Yue
,
Zhendong Wang
,
Mingyuan Zhou
Implicit Distributional Reinforcement Learning.
CoRR
(2020)
Mingzhang Yin
,
Yuguang Yue
,
Mingyuan Zhou
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables.
CoRR
(2019)
Yuguang Yue
,
Lieven Vandenberghe
,
Weng Kee Wong
T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method.
Stat. Comput.
29 (4) (2019)
Wenyuan Li
,
Zichen Wang
,
Yuguang Yue
,
Jiayun Li
,
William Speier
,
Mingyuan Zhou
,
Corey W. Arnold
Semi-supervised Learning using Adversarial Training with Good and Bad Samples.
CoRR
(2019)
Xinjie Fan
,
Yuguang Yue
,
Purnamrita Sarkar
,
Y. X. Rachel Wang
A Unified Framework for Tuning Hyperparameters in Clustering Problems.
CoRR
(2019)
Mingzhang Yin
,
Yuguang Yue
,
Mingyuan Zhou
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables.
ICML
(2019)