1 citations · 1 across the 7 of their papers we have counts for
7 papers
Binomial Smoothing for Inventory and Information Control in Supply Chains
Rene Caldentey, Avi Giloni, Clifford Hurvich +2
In many decentralized supply chains, upstream firms do not observe market demand directly and instead infer downstream conditions from the order stream. A retailer's replenishment…
Designing Information Delays in Supply Chains
Prem Talwai, Rene Caldentey, Avi Giloni +3
This paper studies how a downstream retailer in a decentralized two-tier supply chain can implicitly transmit demand information to an upstream supplier through the structure of it…
Nonparametric Regression in Dirichlet Spaces: A Random Obstacle Approach
Prem Talwai, David Simchi-Levi
In this paper, we consider nonparametric estimation over general Dirichlet metric measure spaces. Unlike the more commonly studied reproducing kernel Hilbert space, whose elements…
Optimal Learning Rates for Regularized Least-Squares with a Fourier Capacity Condition
Prem Talwai, David Simchi-Levi
We derive minimax adaptive rates for a new, broad class of Tikhonov-regularized learning problems in Hilbert scales under general source conditions. Our analysis does not require t…
Dynamic Pricing and Demand Learning on a Large Network of Products: A PAC-Bayesian Approach
N. Bora Keskin, David Simchi-Levi, Prem Talwai
We consider a seller offering a large network of products over a time horizon of periods. The seller does not know the parameters of the products' linear demand model, and…
Sobolev Norm Learning Rates for Conditional Mean Embeddings
Prem Talwai, Ali Shameli, David Simchi-Levi
We develop novel learning rates for conditional mean embeddings by applying the theory of interpolation for reproducing kernel Hilbert spaces (RKHS). We derive explicit, adaptive c…
A Trace Theorem For Sobolev Spaces On The Sierpinski Gasket
Shiping Cao, Shuangping Li, Robert S. Strichartz +1
We give a discrete characterization of the trace of a class of Sobolev spaces on the Sierpinski gasket to the bottom line. This includes the L2 domain of the Laplacian as a special…