Publications related to Slater's condition

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)

There has been a recent surge of interest in the study of asymptotic reconstruction performance in various cases of generalized linear estimation problems in the teacher-student setting, especially for the case of i.i.d standard normal matrices. Here, we g ...

2022

Data-Driven Passivity-Based Current Controller Design for Power-Electronic Converters of Traction Systems

Alireza Karimi, Seyed Sohail Madani

In this paper, a data-driven method for controller design with constraints on the positive-realness of closed-loop transfer functions over an arbitrary set of frequencies is proposed. The positive-realness of a closed-loop transfer function is represented ...

IEEE2020

Distributed Coupled Multiagent Stochastic Optimization

Ali H. Sayed, Sulaiman A S A E Alghunaim

This paper develops an effective distributed strategy for the solution of constrained multiagent stochastic optimization problems with coupled parameters across the agents. In this formulation, each agent is influenced by only a subset of the entries of a ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

Alireza Karimi, Achille Nicoletti

In this paper, a new data-driven method for designing robust controllers is proposed for systemswith sector-bounded nonlinearities and multimodel uncertainties. The results from the circle criterion are used to generate necessary and sufficient convex cons ...

WILEY2019

The Minimization of Public Facilities With Enhanced Genetic Algorithms Using War Elimination

Michael Mark

In this paper, we focus on the problem of minimizing a network of state facilities that provide essential public services (schools, offices, and hospitals). The goal is to reduce the size of the network in order to minimize the costs associated with it. Ho ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

Nisheeth Vishnoi, Laura Elisa Celis, Vijay Keswani, Lingxiao Huang

Developing classification algorithms that are fair with respect to sensitive attributes of the data is an important problem due to the increased deployment of classification algorithms in societal contexts. Several recent works have focused on studying cla ...

ASSOC COMPUTING MACHINERY2019

A Robust Data-Driven Controller Design Methodology With Applications to Particle Accelerator Power Converters

Alireza Karimi, Achille Nicoletti, Michele Martino

A new data-driven approach using the frequency response function (FRF) of a system is proposed for designing robust-fixed structure digital controllers for particle accelerators' power converters. This design method ensures that the dynamics of a system ar ...

2019

Comparing genomes with rearrangements and segmental duplications

Bernard Moret, Mingfu Shao

Motivation: Large-scale evolutionary events such as genomic rearrange. ments and segmental duplications form an important part of the evolution of genomes and are widely studied from both biological and computational perspectives. A basic computational pro ...

Oxford University Press2015

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Slater's condition

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)

Data-Driven Passivity-Based Current Controller Design for Power-Electronic Converters of Traction Systems

Distributed Coupled Multiagent Stochastic Optimization

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

The Minimization of Public Facilities With Enhanced Genetic Algorithms Using War Elimination

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

Kernel methods and Model predictive approaches for Learning and Control

A Robust Data-Driven Controller Design Methodology With Applications to Particle Accelerator Power Converters

Diffusion LMS for Multitask Problems With Local Linear Equality Constraints

Comparing genomes with rearrangements and segmental duplications

Graph Chatbot

Chat with Graph Search

Kernel methods and Model predictive approaches for Learning and Control

Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)

Distributed Coupled Multiagent Stochastic Optimization

Diffusion LMS for Multitask Problems With Local Linear Equality Constraints

The Minimization of Public Facilities With Enhanced Genetic Algorithms Using War Elimination

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

A Robust Data-Driven Controller Design Methodology With Applications to Particle Accelerator Power Converters

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

Data-Driven Passivity-Based Current Controller Design for Power-Electronic Converters of Traction Systems

Comparing genomes with rearrangements and segmental duplications