1 citations · 1 across the 5 of their papers we have counts for
5 papers
OPO: Making Decision-Focused Data Acquisition Decisions
Egon Peršak, Miguel F. Anjos
We propose a model for making data acquisition decisions for variables in contextual stochastic optimisation problems. Data acquisition decisions are typically treated as separate…
Generating Poisoning Attacks against Ridge Regression Models with Categorical Features
Monse Guedes-Ayala, Lars Schewe, Zeynep Suvak +1
Machine Learning (ML) models have become a very powerful tool to extract information from large datasets and use it to make accurate predictions and automated decisions. However, M…
Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing
Egon Peršak, Miguel F. Anjos, Sebastian Lautz +1
We propose a transformer architecture for time series forecasting with a focus on time series tokenisation and apply it to a real-world prediction problem from the pricing domain.…
Decision-Focused Forecasting: A Differentiable Multistage Optimisation Architecture
Egon Peršak, Miguel F. Anjos
Most decision-focused learning work has focused on single stage problems whereas many real-world decision problems are more appropriately modelled using multistage optimisation. In…
Learning Deterministic Surrogates for Robust Convex QCQPs
Egon Peršak, Miguel F. Anjos
Decision-focused learning is a promising development for contextual optimisation. It enables us to train prediction models that reflect the contextual sensitivity structure of the…