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Found 7 papers, 1 papers with code
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context
Our model assumptions are verified by the real bushfire data from NSW, Australia, and we apply our model to two power systems to illustrate its applicability.
Pricing with Contextual Elasticity and Heteroscedastic Valuation
We study an online contextual dynamic pricing problem, where customers decide whether to purchase a product based on its features and price.
TheoremQA: A Theorem-driven Question Answering dataset
We evaluate a wide spectrum of 16 large language and code models with different prompting strategies like Chain-of-Thoughts and Program-of-Thoughts.
Ranked #1 on
Natural Questions
on TheoremQA
Doubly Fair Dynamic Pricing
We show that a doubly fair policy must be random to have higher revenue than the best trivial policy that assigns the same price to different groups.
Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise
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 previous sales sessions ("Sold" if valuation $\geq$ price, and "Not Sold" otherwise).
Logarithmic Regret in Feature-based Dynamic Pricing
Feature-based dynamic pricing is an increasingly popular model of setting prices for highly differentiated products with applications in digital marketing, online sales, real estate and so on.
Bayesian adversarial multi-node bandit for optimal smart grid protection against cyber attacks
The cybersecurity of smart grids has become one of key problems in developing reliable modern power and energy systems.
