no code implementations • 25 Jan 2025 • Pangpang Liu, Will Wei Sun
When buyers are able to learn the fairness of the price policy, this upper bound reduces to $O(\sqrt{T})$.
no code implementations • 27 Dec 2024 • Seong Jin Lee, Will Wei Sun, Yufeng Liu
Reinforcement learning from human feedback (RLHF) has become a cornerstone for aligning large language models with human preferences.
no code implementations • 29 Oct 2024 • Young Hyun Cho, Will Wei Sun
With the growing demand for personalized assortment recommendations, concerns over data privacy have intensified, highlighting the urgent need for effective privacy-preserving strategies.
no code implementations • 3 Oct 2024 • Pangpang Liu, Chengchun Shi, Will Wei Sun
Through simulations and experiments on LLMs, we demonstrate the effectiveness of our algorithm and its superiority over state-of-the-arts.
no code implementations • 20 Jun 2024 • Riddhiman Bhattacharya, Thanh Nguyen, Will Wei Sun, Mohit Tawarmalani
We explore an active learning approach for dynamic fair resource allocation problems.
no code implementations • 19 Apr 2024 • Seong Jin Lee, Will Wei Sun, Yufeng Liu
In this paper, we consider the dynamic assortment problem with dual contexts -- user and item features.
no code implementations • 18 Mar 2024 • Danyang Wang, Chengchun Shi, Shikai Luo, Will Wei Sun
As a result, leveraging large observational datasets becomes a more attractive option for achieving high-quality policy learning.
no code implementations • 26 Feb 2024 • SHIRONG XU, Will Wei Sun, Guang Cheng
To address this, we propose an adaptive debiasing method for rankings from the randomized response mechanism, ensuring consistent estimation of true preferences and enhancing the utility of downstream rank aggregation.
no code implementations • 28 Dec 2023 • Xin Wen, Will Wei Sun, Yichen Zhang
Recent technological advances have led to contemporary applications that demand real-time processing and analysis of sequentially arriving tensor data.
no code implementations • 8 Jul 2023 • Pangpang Liu, Zhuoran Yang, Zhaoran Wang, Will Wei Sun
We first prove that existing non-strategic pricing policies that neglect the buyers' strategic behavior result in a linear $\Omega(T)$ regret with $T$ the total time horizon, indicating that these policies are not better than a random pricing policy.
no code implementations • 17 May 2023 • SHIRONG XU, Will Wei Sun, Guang Cheng
The former is defined as the generalization difference between models trained on synthetic and on real data.
no code implementations • 2 Jan 2023 • SHIRONG XU, Will Wei Sun, Guang Cheng
This allows us to develop a multistage ranking algorithm to generate synthetic rankings while satisfying the developed $\epsilon$-ranking differential privacy.
no code implementations • 21 Dec 2022 • Qiyu Han, Will Wei Sun, Yichen Zhang
The low-rank structure of the model parameter and the adaptive nature of the data collection process make this difficult: standard low-rank estimators are biased and cannot be obtained in a sequential manner while existing inference approaches in sequential decision-making algorithms fail to account for the low-rankness and are also biased.
no code implementations • 7 May 2022 • Yuantong Li, Chi-Hua Wang, Guang Cheng, Will Wei Sun
The key component of the proposed dynamic matching algorithm is an online estimation of the preference ranking with a statistical guarantee.
no code implementations • 15 Sep 2021 • Yiyun Luo, Will Wei Sun, and Yufeng Liu
The customer's valuation for the product is a linear function of contexts, including product and customer features, plus some random market noise.
no code implementations • 8 Aug 2021 • Pratik Ramprasad, Yuantong Li, Zhuoran Yang, Zhaoran Wang, Will Wei Sun, Guang Cheng
The recent emergence of reinforcement learning has created a demand for robust statistical inference methods for the parameter estimates computed using these algorithms.
no code implementations • 15 Apr 2021 • Biao Cai, Jingfei Zhang, Will Wei Sun
We consider the problem of jointly modeling and clustering populations of tensors by introducing a high-dimensional tensor mixture model with heterogeneous covariances.
no code implementations • 11 Mar 2021 • Hilda S Ibriga, Will Wei Sun
An important by-product is that ad latent components from COSTCO reveal interesting ad clusters, which are useful for better ad targeting.
1 code implementation • 31 Jul 2020 • Jie zhou, Botao Hao, Zheng Wen, Jingfei Zhang, Will Wei Sun
We consider two settings, tensor bandits without context and tensor bandits with context.
no code implementations • 5 Jul 2020 • Chi-Hua Wang, Zhanyu Wang, Will Wei Sun, Guang Cheng
In this paper, we propose a novel approach for designing dynamic pricing policy based regularized online statistical learning with theoretical guarantees.
no code implementations • 22 Feb 2020 • Jie Zhou, Will Wei Sun, Jingfei Zhang, Lexin Li
In this article, we develop a regression model with partially observed dynamic tensor as the response and external covariates as the predictor.
no code implementations • 31 Mar 2019 • Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang, Will Wei Sun
Tensors are becoming prevalent in modern applications such as medical imaging and digital marketing.
no code implementations • 17 Mar 2018 • Eric C. Chi, Brian R. Gaines, Will Wei Sun, Hua Zhou, Jian Yang
Our convex co-clustering (CoCo) estimator enjoys stability guarantees and its computational and storage costs are polynomial in the size of the data.
no code implementations • 24 Aug 2017 • Will Wei Sun, Lexin Li
Existing tensor clustering methods either fail to account for the dynamic nature of the data, or are inapplicable to a general-order tensor.
no code implementations • 20 Jan 2017 • Will Wei Sun, Guang Cheng, Yufeng Liu
Stability is an important aspect of a classification procedure because unstable predictions can potentially reduce users' trust in a classification system and also harm the reproducibility of scientific conclusions.
no code implementations • 28 Nov 2016 • Botao Hao, Will Wei Sun, Yufeng Liu, Guang Cheng
We consider joint estimation of multiple graphical models arising from heterogeneous and high-dimensional observations.
no code implementations • 15 Sep 2016 • Will Wei Sun, Lexin Li
Motivated by applications in neuroimaging analysis, we propose a new regression model, Sparse TensOr REsponse regression (STORE), with a tensor response and a vector predictor.
no code implementations • 15 Sep 2016 • Xiang Lyu, Will Wei Sun, Zhaoran Wang, Han Liu, Jian Yang, Guang Cheng
We consider the estimation and inference of graphical models that characterize the dependency structure of high-dimensional tensor-valued data.
1 code implementation • 18 Jan 2016 • Binhuan Wang, Yilong Zhang, Will Wei Sun, Yixin Fang
Convex clustering, a convex relaxation of k-means clustering and hierarchical clustering, has drawn recent attentions since it nicely addresses the instability issue of traditional nonconvex clustering methods.
no code implementations • 5 Feb 2015 • Will Wei Sun, Junwei Lu, Han Liu, Guang Cheng
We propose a novel sparse tensor decomposition method, namely Tensor Truncated Power (TTP) method, that incorporates variable selection into the estimation of decomposition components.