Diego Klabjan

Diego Klabjan

North Western University

H-index: 45

Asia-Bangladesh

About Diego Klabjan

Diego Klabjan, With an exceptional h-index of 45 and a recent h-index of 33 (since 2020), a distinguished researcher at North Western University, specializes in the field of Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit

A primal-dual algorithm for hybrid federated learning

Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards

Early Classifying Multimodal Sequences

Robust softmax aggregation on blockchain based federated learning with convergence guarantee

An inverse classification framework with limited budget and maximum number of perturbed samples

Pareto regret analyses in multi-objective multi-armed bandit

A Policy for Early Sequence Classification

Diego Klabjan Information

University

Position

___

Citations(all)

7201

Citations(since 2020)

3493

Cited By

5404

hIndex(all)

45

hIndex(since 2020)

33

i10Index(all)

130

i10Index(since 2020)

91

Email

University Profile Page

North Western University

Google Scholar

View Google Scholar Profile

Diego Klabjan Skills & Research Interests

Machine learning

Top articles of Diego Klabjan

Title

Journal

Author(s)

Publication Date

Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit

arXiv preprint arXiv:2402.04417

Mengfan Xu

Diego Klabjan

2024/2/6

A primal-dual algorithm for hybrid federated learning

Proceedings of the AAAI Conference on Artificial Intelligence

Tom Overman

Garrett Blum

Diego Klabjan

2024/3/24

Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards

Advances in Neural Information Processing Systems

Mengfan Xu

Diego Klabjan

2024/2/13

Early Classifying Multimodal Sequences

Alexander Cao

Jean Utke

Diego Klabjan

2023/10/9

Robust softmax aggregation on blockchain based federated learning with convergence guarantee

arXiv preprint arXiv:2311.07027

Huiyu Wu

Diego Klabjan

2023/11/13

An inverse classification framework with limited budget and maximum number of perturbed samples

Expert Systems with Applications

Jaehoon Koo

Diego Klabjan

Jean Utke

2023/2/1

Pareto regret analyses in multi-objective multi-armed bandit

Mengfan Xu

Diego Klabjan

2023/7/3

A Policy for Early Sequence Classification

Alexander Cao

Jean Utke

Diego Klabjan

2023/9/22

Unsupervised Video Summarization

arXiv preprint arXiv:2311.03745

Hanqing Li

Diego Klabjan

Jean Utke

2023/11/7

Scale Invariant Power Iteration

Journal of Machine Learning Research

Cheolmin Kim

Youngseok Kim

Diego Klabjan

2023

Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm

Yintai Ma

Diego Klabjan

2023/12/15

S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture

arXiv preprint arXiv:2307.00226

Ye Xue

Diego Klabjan

Jean Utke

2023/7/1

Gradient-Boosted Based Structured and Unstructured Learning

Andrea Treviño Gavito

Diego Klabjan

Jean Utke

2023/9/22

Preliminary Analysis on Second-Order Convergence for Biased Policy Gradient Methods

arXiv preprint arXiv:2311.02546

Siqiao Mu

Diego Klabjan

2023/11/5

Open-set recognition of breast cancer treatments

Artificial intelligence in medicine

Alexander Cao

Diego Klabjan

Yuan Luo

2023/1/1

Neuron-based pruning of deep neural networks with better generalization using kronecker factored curvature approximation

https://ieeexplore.ieee.org/document/10191525

Abdolghani Ebrahimi

Diego Klabjan

2021/11/16

Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types

Stephanie Ger

Yegna Subramanian Jambunath

Diego Klabjan

Jean Utke

2023/12/15

Regret lower bounds in multi-agent multi-armed bandit

arXiv preprint arXiv:2308.08046

Mengfan Xu

Diego Klabjan

2023/8/15

Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics

arXiv preprint arXiv:2311.16135

Garrett Blum

Ryan Doris

Diego Klabjan

Horacio Espinosa

Ron Szalkowski

2023/11/3

Stochastic Scale Invariant Power Iteration for KL-divergence Nonnegative Matrix Factorization

arXiv preprint arXiv:2304.11268

Cheolmin Kim

Youngseok Kim

Diego Klabjan

2023/4/21

See List of Professors in Diego Klabjan University(North Western University)