1 citations · 2 across the 9 of their papers we have counts for
9 papers
SimGym: A Framework for A/B Test Simulation in E-Commerce with Traffic-Grounded VLM Agents
Han Li, Vibhor Malik, Zahra Zanjani Foumani +17
A/B testing remains the gold standard for evaluating modifications to e-commerce storefronts, yet it diverts traffic, requires weeks to reach statistical significance, and risks de…
SimPersona: Learning Discrete Buyer Personas from Raw Clickstreams for Grounded E-Commerce Agents
Zahra Zanjani Foumani, Alberto Castelo, Shuang Xie +3
LLM-based web agents can navigate live storefronts, yet they often collapse to a single "average buyer" policy, failing to capture the heterogeneous and distributional nature of re…
SimGym: Traffic-Grounded Browser Agents for Offline A/B Testing in E-Commerce
Alberto Castelo, Zahra Zanjani Foumani, Ailin Fan +17
A/B testing remains the gold standard for evaluating e-commerce UI changes, yet it diverts traffic, takes weeks to reach significance, and risks harming user experience. We introdu…
Constrained multi-fidelity Bayesian optimization with automatic stop condition
Zahra Zanjani Foumani, Ramin Bostanabad
Bayesian optimization (BO) is increasingly employed in critical applications to find the optimal design with minimal cost. While BO is known for its sample efficiency, relying sole…
A preliminary data fusion study to assess the feasibility of Foundation Process-Property Models in Laser Powder Bed Fusion
Oriol Vendrell-Gallart, Nima Negarandeh, Zahra Zanjani Foumani +3
Foundation models are at the forefront of an increasing number of critical applications. In regards to technologies such as additive manufacturing (AM), these models have the poten…
Unveiling Processing--Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments
Mahsa Amiri, Zahra Zanjani Foumani, Penghui Cao +2
Achieving desired mechanical properties in additive manufacturing requires many experiments and a well-defined design framework becomes crucial in reducing trials and conserving re…
GP+: A Python Library for Kernel-based learning via Gaussian Processes
Amin Yousefpour, Zahra Zanjani Foumani, Mehdi Shishehbor +2
In this paper we introduce GP+, an open-source library for kernel-based learning via Gaussian processes (GPs) which are powerful statistical models that are completely characterize…
On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization
Zahra Zanjani Foumani, Amin Yousefpour, Mehdi Shishehbor +1
Bayesian optimization (BO) is a sequential optimization strategy that is increasingly employed in a wide range of areas including materials design. In real world applications, acqu…
Unsupervised Anomaly Detection via Nonlinear Manifold Learning
Amin Yousefpour, Mehdi Shishehbor, Zahra Zanjani Foumani +1
Anomalies are samples that significantly deviate from the rest of the data and their detection plays a major role in building machine learning models that can be reliably used in a…