5 citations · 20 across the 13 of their papers we have counts for
14 papers
Optimal Contextual Pricing under Agnostic Non-Lipschitz Demand
Jianyu Xu, Yu-Xiang Wang
We study contextual dynamic pricing with linear valuations and bounded-support agnostic noise, whose induced demand curve may be non-Lipschitz with arbitrary jumps and atoms. Such…
Developing and evaluating a chatbot to support maternal health care
Smriti Jha, Vidhi Jain, Jianyu Xu +8
The ability to provide trustworthy maternal health information using phone-based chatbots can have a significant impact, particularly in low-resource settings where users have low…
Online Decision Making with Generative Action Sets
Jianyu Xu, Vidhi Jain, Bryan Wilder +1
With advances in generative AI, decision-making agents can now dynamically create new actions during online learning, but action generation typically incurs costs that must be bala…
FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and Challenging
Zichen Tang, Haihong E, Ziyan Ma +10
We introduce FinanceReasoning, a novel benchmark designed to evaluate the reasoning capabilities of large reasoning models (LRMs) in financial numerical reasoning problems. Compare…
Dynamic Pricing with Adversarially-Censored Demands
Jianyu Xu, Yining Wang, Xi Chen +1
We study an online dynamic pricing problem where the potential demand at each time period is stochastic and dependent on the price. However, a perishable inventor…
Online Pricing and Allocation with Demand Learning and Fulfillment Cost
Jianyu Xu, Xuan Wang, Yu-Xiang Wang +1
We study online learning for a seller that jointly chooses per-period inventory positions and a uniform price, then fulfills realized demand through a downstream allocation. The ma…
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context
Jianyu Xu, Qiuzhuang Sun, Yang Yang +2
The 2019-20 Australia bushfire incurred numerous economic losses and significantly affected the operations of power systems. A power station or transmission line can be significant…
Pricing with Contextual Elasticity and Heteroscedastic Valuation
Jianyu Xu, Yu-Xiang Wang
We study an online contextual dynamic pricing problem, where customers decide whether to purchase a product based on its features and price. We introduce a novel approach to modeli…
TheoremQA: A Theorem-driven Question Answering dataset
Wenhu Chen, Ming Yin, Max Ku +6
The recent LLMs like GPT-4 and PaLM-2 have made tremendous progress in solving fundamental math problems like GSM8K by achieving over 90% accuracy. However, their capabilities to s…
Doubly Fair Dynamic Pricing
Jianyu Xu, Dan Qiao, Yu-Xiang Wang
We study the problem of online dynamic pricing with two types of fairness constraints: a "procedural fairness" which requires the proposed prices to be equal in expectation among d…
Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise
Jianyu Xu, Yu-Xiang Wang
In feature-based dynamic pricing, a seller sets appropriate prices for a sequence of products (described by feature vectors) on the fly by learning from the binary outcomes of prev…
Bayesian adversarial multi-node bandit for optimal smart grid protection against cyber attacks
Jianyu Xu, Bin Liu, Huadong Mo +1
The cybersecurity of smart grids has become one of key problems in developing reliable modern power and energy systems. This paper introduces a non-stationary adversarial cost with…
Logarithmic Regret in Feature-based Dynamic Pricing
Jianyu Xu, Yu-Xiang Wang
Feature-based dynamic pricing is an increasingly popular model of setting prices for highly differentiated products with applications in digital marketing, online sales, real estat…
Index-Based Policy for Risk-Averse Multi-Armed Bandit
Jianyu Xu, William B. Haskell, Zhisheng Ye
The multi-armed bandit (MAB) is a classical online optimization model for the trade-off between exploration and exploitation. The traditional MAB is concerned with finding the arm…