Diego Klabjan

Orcid: 0000-0003-4213-9281

Affiliations:
  • Northwestern University, Illinois, USA


According to our database1, Diego Klabjan authored at least 180 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Diminishing Batch Normalization.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Improving self-training under distribution shifts via anchored confidence with theoretical guarantees.
CoRR, 2024

Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient.
CoRR, 2024

LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples.
CoRR, 2024

A Mirror Descent Perspective of Smoothed Sign Descent.
CoRR, 2024

Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling.
CoRR, 2024

Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization.
CoRR, 2024

Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions.
CoRR, 2024

IIFE: Interaction Information Based Automated Feature Engineering.
CoRR, 2024

Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network.
CoRR, 2024

Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit.
CoRR, 2024

On the Second-Order Convergence of Biased Policy Gradient Algorithms.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2024

Robust Softmax Aggregation on Blockchain based Federated Learning with Convergence Guarantee.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024

A Primal-Dual Algorithm for Hybrid Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Efficient Architecture Search for Continual Learning.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Open-set recognition of breast cancer treatments.
Artif. Intell. Medicine, January, 2023

Scale Invariant Power Iteration.
J. Mach. Learn. Res., 2023

An inverse classification framework with limited budget and maximum number of perturbed samples.
Expert Syst. Appl., 2023

Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics.
CoRR, 2023

Unsupervised Video Summarization.
CoRR, 2023

Preliminary Analysis on Second-Order Convergence for Biased Policy Gradient Methods.
CoRR, 2023

Regret Lower Bounds in Multi-agent Multi-armed Bandit.
CoRR, 2023

Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints.
CoRR, 2023

S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture.
CoRR, 2023

Multi-Layer Attention-Based Explainability via Transformers for Tabular Data.
CoRR, 2023

Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Pareto Regret Analyses in Multi-objective Multi-armed Bandit.
Proceedings of the International Conference on Machine Learning, 2023

Early Classifying Multimodal Sequences.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Gradient-Boosted Based Structured and Unstructured Learning.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

A Policy for Early Sequence Classification.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm.
Proceedings of the IEEE International Conference on Big Data, 2023

Feature Acquisition Using Monte Carlo Tree Search.
Proceedings of the IEEE International Conference on Big Data, 2023

Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types.
Proceedings of the IEEE International Conference on Big Data, 2023

Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Truth validation with evidence.
Knowl. Inf. Syst., 2022

Divergence Results and Convergence of a Variance Reduced Version of ADAM.
CoRR, 2022

Large-Scale Multi-Document Summarization with Information Extraction and Compression.
CoRR, 2022

Topic Analysis for Text with Side Data.
CoRR, 2022

Tricks and Plugins to GBM on Images and Sequences.
CoRR, 2022

Nested Multi-view Image Classification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

DOTA 2 match prediction through deep learning team fight models.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Aggregation Delayed Federated Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

Open Set Domain Adaptation by Extreme Value Theory.
Proceedings of the IEEE International Conference on Big Data, 2022

Dynamic Cell Structure via Recursive-Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2022

Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games.
Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022

2021
Bayesian Active Learning for Choice Models With Deep Gaussian Processes.
IEEE Trans. Intell. Transp. Syst., 2021

Non-Convex Optimization with Spectral Radius Regularization.
CoRR, 2021

Layer Flexible Adaptive Computation Time.
Proceedings of the International Joint Conference on Neural Networks, 2021

Generative Adversarial Nets for Multiple Text Corpora.
Proceedings of the International Joint Conference on Neural Networks, 2021

k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Probabilistic Approach to Neural Network Pruning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Classification Models for Partially Ordered Sequences.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Logit-based Uncertainty Measure in Classification.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Keyword-based Topic Modeling and Keyword Selection.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Continual Neural Network Model Retraining.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games.
Proceedings of the ACSW '21: 2021 Australasian Computer Science Week Multiconference, 2021

Open-Set Recognition with Gaussian Mixture Variational Autoencoders.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An Approach for the Railway Multiterritory Dispatching Problem.
Transp. Sci., 2020

A Simple and Fast Algorithm for L1-Norm Kernel PCA.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Subset selection for multiple linear regression via optimization.
J. Glob. Optim., 2020

Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples.
CoRR, 2020

Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms.
CoRR, 2020

Efficient Architecture Search for Continual Learning.
CoRR, 2020

Neural Network Retraining for Model Serving.
CoRR, 2020

The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent.
CoRR, 2020

Listwise Learning to Rank by Exploring Unique Ratings.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Retention Prediction in Sandbox Games with Bipartite Tensor Factorization.
Proceedings of the Intelligent Computing, 2020

Improved Classification Based on Deep Belief Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Dynamic prediction length for time series with sequence to sequence network.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Automatic Ontology Learning from Domain-specific Short Unstructured Text Data.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Semi-Supervised Learning for Discrete Choice Models.
IEEE Trans. Intell. Transp. Syst., 2019

Online adaptive machine learning based algorithm for implied volatility surface modeling.
Knowl. Based Syst., 2019

Conditional Hierarchical Bayesian Tucker Decomposition.
CoRR, 2019

Data Extraction from Charts via Single Deep Neural Network.
CoRR, 2019

Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network.
CoRR, 2019

Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences.
CoRR, 2019

Predicting ICU readmission using grouped physiological and medication trends.
Artif. Intell. Medicine, 2019

The trails of Just Cause 2: spatio-temporal player profiling in open-world games.
Proceedings of the 14th International Conference on the Foundations of Digital Games, 2019

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Activation Ensembles for Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A Team Based Player Versus Player Recommender Systems Framework For Player Improvement.
Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018
Optimization of Battery Charging and Purchasing at Electric Vehicle Battery Swap Stations.
Transp. Sci., 2018

Large-Scale Adversarial Sports Play Retrieval with Learning to Rank.
ACM Trans. Knowl. Discov. Data, 2018

Three iteratively reweighted least squares algorithms for L<sub>1</sub> -norm principal component analysis.
Knowl. Inf. Syst., 2018

Layer Flexible Adaptive Computational Time for Recurrent Neural Networks.
CoRR, 2018

Unified recurrent neural network for many feature types.
CoRR, 2018

Nested multi-instance classification.
CoRR, 2018

Dynamic Prediction Length for Time Series with Sequence to Sequence Networks.
CoRR, 2018

Forecasting Crime with Deep Learning.
CoRR, 2018

A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations.
CoRR, 2018

Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations.
Proceedings of the 35th International Conference on Machine Learning, 2018

Location-Awareness in Time Series Compression.
Proceedings of the Advances in Databases and Information Systems, 2018

Controlling the crucible: a novel PvP recommender systems framework for <i>destiny</i>.
Proceedings of the Australasian Computer Science Week Multiconference, 2018

To be or not to be...social: incorporating simple social features in mobile game customer lifetime value predictions.
Proceedings of the Australasian Computer Science Week Multiconference, 2018

SolverBlox: algebraic modeling in datalog.
Proceedings of the Declarative Logic Programming: Theory, Systems, and Applications, 2018

2017
Adaptive Routing and Recharging Policies for Electric Vehicles.
Transp. Sci., 2017

Optimal Recharging Policies for Electric Vehicles.
Transp. Sci., 2017

Bayesian Network Learning via Topological Order.
J. Mach. Learn. Res., 2017

Algorithms for Generalized Clusterwise Linear Regression.
INFORMS J. Comput., 2017

Generative Adversarial Nets for Multiple Text Corpora.
CoRR, 2017

L1-norm Kernel PCA.
CoRR, 2017

An Attention-Based Deep Net for Learning to Rank.
CoRR, 2017

Convergence Analysis of Batch Normalization for Deep Neural Nets.
CoRR, 2017

Classification-based financial markets prediction using deep neural networks.
Algorithmic Finance, 2017

Improving the Expected Improvement Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Optimization for Large-Scale Machine Learning with Distributed Features and Observations.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Unsupervised Terminological Ontology Learning Based on Hierarchical Topic Modeling.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

Semantic Document Distance Measures and Unsupervised Document Revision Detection.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Predicting litigation likelihood and time to litigation for patents.
Proceedings of the 16th edition of the International Conference on Artificial Intelligence and Law, 2017

Regularization for Unsupervised Deep Neural Nets.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A new novel local search integer-programming-based heuristic for PCB assembly on collect-and-place machines.
Math. Program. Comput., 2016

An aggregate and iterative disaggregate algorithm with proven optimality in machine learning.
Mach. Learn., 2016

Algorithms for Generalized Cluster-wise Linear Regression.
CoRR, 2016

Predictive Analytics Using Smartphone Sensors for Depressive Episodes.
CoRR, 2016

Predicting Shot Making in Basketball using Convolutional Neural Networks Learnt from Adversarial Multiagent Trajectories.
CoRR, 2016

Going Out of Business: Auction House Behavior in the Massively Multi-Player Online Game.
CoRR, 2016

Classiffication-based Financial Markets Prediction using Deep Neural Networks.
CoRR, 2016

Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Rapid Prediction of Player Retention in Free-to-Play Mobile Games.
Proceedings of the Twelfth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2016

Temporal Topic Analysis with Endogenous and Exogenous Processes.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Lead time considerations for the multi-level capacitated lot-sizing problem.
Eur. J. Oper. Res., 2015

Lifting for mixed integer programs with variable upper bounds.
Discret. Appl. Math., 2015

Lot sizing with minimum order quantity.
Discret. Appl. Math., 2015

Implementing deep neural networks for financial market prediction on the Intel Xeon Phi.
Proceedings of the 8th Workshop on High Performance Computational Finance, 2015

2014
Guest Editorial: Special Issue on Energy and Transportation.
Transp. Sci., 2014

Fully Polynomial Time Approximation Schemes for Stochastic Dynamic Programs.
SIAM J. Discret. Math., 2014

Attributes.
Games Econ. Behav., 2014

Modeling lotsizing and scheduling problems with sequence dependent setups.
Eur. J. Oper. Res., 2014

Going out of business: Auction house behavior in the Massively Multi-player Online Game Glitch.
Entertain. Comput., 2014

Approximations to auctions of digital goods with share-averse bidders.
Electron. Commer. Res. Appl., 2014

Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2).
Proceedings of the 2014 IEEE Games Media Entertainment, 2014

Semantic Properties of Customer Sentiment in Tweets.
Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops, 2014

2013
Analyses of advanced iterated tour partitioning heuristics for generalized vehicle routing problems.
Networks, 2013

Inventory control in multi-channel retail.
Eur. J. Oper. Res., 2013

Pricing, relaxing and fixing under lot sizing and scheduling.
Eur. J. Oper. Res., 2013

Optimal placement of reconfigurable optical add/drop multiplexers with packing, blocking, and signal loss.
Comput. Networks, 2013

2012
Computing Near-Optimal Policies in Generalized Joint Replenishment.
INFORMS J. Comput., 2012

Column generation based heuristics for a generalized location routing problem with profits arising in space exploration.
Eur. J. Oper. Res., 2012

Annual production budget in the beverage industry.
Eng. Appl. Artif. Intell., 2012

A polyhedral study of lot-sizing with supplier selection.
Discret. Optim., 2012

Automated knowledge source selection and service composition.
Comput. Optim. Appl., 2012

2011
Robust Airline Scheduling Under Block-Time Uncertainty.
Transp. Sci., 2011

2010
Multiship Crane Sequencing with Yard Congestion Constraints.
Transp. Sci., 2010

Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach.
IEEE Trans. Knowl. Data Eng., 2010

Intra market optimization for express package carriers with station to station travel and proportional sorting.
Comput. Oper. Res., 2010

Multiple machine continuous setup lotsizing with sequence-dependent setups.
Comput. Optim. Appl., 2010

2009
A Fully Polynomial-Time Approximation Scheme for Single-Item Stochastic Inventory Control with Discrete Demand.
Math. Oper. Res., 2009

Topology Formation for Wireless Mesh Network Planning.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

2008
Intramarket Optimization for Express Package Carriers.
Transp. Sci., 2008

Heuristics for automated knowledge source integration and service composition.
Comput. Oper. Res., 2008

2007
An Infinite-Dimensional Linear Programming Algorithm for Deterministic Semi-Markov Decision Processes on Borel Spaces.
Math. Oper. Res., 2007

Integrated Airline Fleeting and Crew-Pairing Decisions.
Oper. Res., 2007

Subadditive approaches in integer programming.
Eur. J. Oper. Res., 2007

2006
Robust Airline Crew Pairing: Move-up Crews.
Transp. Sci., 2006

Fleeting with Passenger and Cargo Origin-Destination Booking Control.
Transp. Sci., 2006

Existence of Optimal Policies for Semi-Markov Decision Processes Using Duality for Infinite Linear Programming.
SIAM J. Control. Optim., 2006

Sequence Independent Lifting for Mixed Integer Programs with Variable Upper Bounds.
Math. Program., 2006

Warehousing and Analyzing Massive RFID Data Sets.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Warehousing and Mining Massive RFID Data Sets.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Duality and Existence of Optimal Policies in Generalized Joint Replenishment.
Math. Oper. Res., 2005

2004
A New Pricing Scheme for Airline Crew Scheduling.
INFORMS J. Comput., 2004

A Practical Algorithm for Computing a Subadditive Dual Function for Set Partitioning.
Comput. Optim. Appl., 2004

2003
Algorithms for source-to-all maximum cost-to-time ratio problem in acyclic networks.
Networks, 2003

2002
Airline Crew Scheduling with Time Windows and Plane-Count Constraints.
Transp. Sci., 2002

A Polyhedral Study of Integer Variable Upper Bounds.
Math. Oper. Res., 2002

A New Subadditive Approach to Integer Programming.
Proceedings of the Integer Programming and Combinatorial Optimization, 2002

2001
Abstracts for the 2000 Transportation Science Section Dissertation Prize Competition.
Transp. Sci., 2001

Airline Crew Scheduling with Regularity.
Transp. Sci., 2001

Solving Large Airline Crew Scheduling Problems: Random Pairing Generation and Strong Branching.
Comput. Optim. Appl., 2001

Airline Crew Pairing Generation in Parallel.
Proceedings of the Tenth SIAM Conference on Parallel Processing for Scientific Computing, 2001

2000
A parallel primal-dual simplex algorithm.
Oper. Res. Lett., 2000

1998
The complexity of cover inequality separation.
Oper. Res. Lett., 1998

The number of matchings of low order in hexagonal systems.
Discret. Math., 1998


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