102 citations · 215 across the 26 of their papers we have counts for
7 papers · 1 filter
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow
Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich +4
The Gaussian Process (GP) based Chance-Constrained Optimal Power Flow (CC-OPF) is an open-source Python code developed for solving economic dispatch (ED) problem in modern power gr…
Data-Driven Stochastic AC-OPF using Gaussian Processes
Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev +4
In recent years, electricity generation has been responsible for more than a quarter of the greenhouse gas emissions in the US. Integrating a significant amount of renewables into…
Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow
Andrii Riazanov, Yury Maximov, Michael Chertkov
Belief Propagation algorithms are instruments used broadly to solve graphical model optimization and statistical inference problems. In the general case of a loopy Graphical Model,…
Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems
Sumit Sidana, Mikhail Trofimov, Oleg Horodnitskii +3
In this paper, we propose a novel ranking framework for collaborative filtering with the overall aim of learning user preferences over items by minimizing a pairwise ranking loss.…
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
Bikash Joshi, Massih-Reza Amini, Ioannis Partalas +2
We address the problem of multi-class classification in the case where the number of classes is very large. We propose a double sampling strategy on top of a multi-class to binary…
Rademacher Complexity Bounds for a Penalized Multiclass Semi-Supervised Algorithm
Yury Maximov, Massih-Reza Amini, Zaid Harchaoui
We propose Rademacher complexity bounds for multiclass classifiers trained with a two-step semi-supervised model. In the first step, the algorithm partitions the partially labeled…
Tight Risk Bounds for Multi-Class Margin Classifiers
Yury Maximov, Daria Reshetova
We consider a problem of risk estimation for large-margin multi-class classifiers. We propose a novel risk bound for the multi-class classification problem. The bound involves the…