Diego Klabjan - RankMe

268 papers A* 18A 5B 20C 7Misc 1Journal 181Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	PromptFE: Automated Feature Engineering by Prompting. EACL (Volume 1: Long Papers) Yufeng Zou, Jean Utke, Diego Klabjan, Han Liu
2026	J	`jnl`	Rank-Accuracy Trade-off for LoRA: A Gradient-Flow Analysis. CoRR Michael Rushka, Diego Klabjan
2026	J	`jnl`	Video to Video Generative Adversarial Network for Few-Shot Learning Based on Policy Gradient. IEEE Trans. Neural Networks Learn. Syst. Yintai Ma, Diego Klabjan, Jean Utke
2025	A	`conf`	A Mirror Descent Perspective of Smoothed Sign Descent. UAI Shuyang Wang, Diego Klabjan
2025	J	`jnl`	A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models. CoRR Shuyang Wang, Somayeh Moazeni, Diego Klabjan
2025	J	`jnl`	A Trainable Optimizer. CoRR Ruiqi Wang, Diego Klabjan
2025	J	`jnl`	BEAR: BGP Event Analysis and Reporting. CoRR Hanqing Li, Melania Fedeli, Vinay Kolar, Diego Klabjan
2025	J	`jnl`	BoostTransformer: Enhancing Transformer Models with Subgrid Selection and Importance Sampling. CoRR Biyi Fang, Jean Utke, Truong Vo, Diego Klabjan
2025	—	`conf`	Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis. CAI Adam Sandler, Diego Klabjan, Yuan Luo
2025	J	`jnl`	Continuous-Time Analysis of Federated Averaging. CoRR Tom Overman, Diego Klabjan
2025	B	`conf`	DAADiff: A Dual-Axis Adaptive Framework for Real-Time Video Inpainting. IEEE Big Data Zheyan Zhang, Diego Klabjan, Renee C. B. Manworren
2025	J	`jnl`	Descend or Rewind? Stochastic Gradient Descent Unlearning. CoRR Siqiao Mu, Diego Klabjan
2025	A	`conf`	Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization. AISTATS Ziwei Su, Diego Klabjan
2025	J	`jnl`	FedGA-Tree: Federated Decision Tree using Genetic Algorithm. CoRR Anh V. Nguyen, Diego Klabjan
2025	B	`conf`	Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction. IJCNN Anh Van Nguyen, Diego Klabjan, Minseok Ryu, Kibaek Kim, Zichao Di
2025	J	`jnl`	Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction. CoRR Anh Van Nguyen, Diego Klabjan, Minseok Ryu, Kibaek Kim, Zichao Di
2025	—	`conf`	Graph Learning for Foreign Exchange Rate Prediction and Statistical Arbitrage. ICAIF Yoonsik Hong, Diego Klabjan
2025	J	`jnl`	Learning multiple coordinated agents under directed acyclic graph constraints. Expert Syst. Appl. Jaeyeon Jang, Diego Klabjan, Han Liu, Nital S. Patel, Xiuqi Li, Balakrishnan Ananthanarayanan, Husam Dauod, Tzung-Han Juang
2025	A	`conf`	Multi-agent Multi-armed Bandit Regret Complexity and Optimality. AISTATS Mengfan Xu, Diego Klabjan
2025	J	`jnl`	On the Convergence Rate of LoRA Gradient Descent. CoRR Siqiao Mu, Diego Klabjan
2025	B	`conf`	Probing the Black Box: A Behavioral Framework for the Deep Verification of Random Forests. IEEE Big Data Zheyan Zhang, Diego Klabjan
2025	A*	`conf`	Reverse Prompt Engineering: A Zero-Shot, Genetic Algorithm Approach to Language Model Inversion. EMNLP Hanqing Li, Diego Klabjan
2025	—	`conf`	SOPL: A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models. EMNLP (Findings) Shuyang Wang, Somayeh Moazeni, Diego Klabjan
2025	J	`jnl`	Scalable multi-agent reinforcement learning for factory-wide dynamic scheduling in semiconductor manufacturing. Eng. Appl. Artif. Intell. Jaeyeon Jang, Diego Klabjan, Han Liu, Nital S. Patel, Xiuqi Li, Balakrishnan Ananthanarayanan, Husam Dauod, Tzung-Han Juang
2025	J	`jnl`	Subgrid BoostCNN: Efficient Boosting of Convolutional Networks via Gradient-Guided Feature Selection. CoRR Biyi Fang, Jean Utke, Truong Vo, Diego Klabjan
2025	J	`jnl`	Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context. CoRR Taejong Joo, Diego Klabjan
2025	J	`jnl`	Topic Analysis with Side Information: A Neural-Augmented LDA Approach. CoRR Biyi Fang, Kripa Rajshekhar, Truong Vo, Diego Klabjan
2025	B	`conf`	Tricks and Plug-Ins for Gradient Boosting in Image Classification. IEEE Big Data Biyi Fang, Truong Vo, Jean Utke, Diego Klabjan
2025	—	`conf`	Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs. EMNLP (Findings) Hanqing Li, Sharika Mahadevan, Kiran Sheena Jyothi, Henry Liang, Diego Klabjan
2025	J	`jnl`	Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs. CoRR Hanqing Li, Kiran Sheena Jyothi, Henry Liang, Sharika Mahadevan, Diego Klabjan
2024	J	`jnl`	A Mirror Descent Perspective of Smoothed Sign Descent. CoRR Shuyang Wang, Diego Klabjan
2024	A*	`conf`	A Primal-Dual Algorithm for Hybrid Federated Learning. AAAI Tom Overman, Garrett Blum, Diego Klabjan
2024	C	`conf`	An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading. ICBC Shuyang Wang, Diego Klabjan
2024	J	`jnl`	Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization. CoRR Haemin Park, Diego Klabjan
2024	J	`jnl`	Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit. CoRR Mengfan Xu, Diego Klabjan
2024	J	`jnl`	DiffMVR: Diffusion-based Automated Multi-Guidance Video Restoration. CoRR Zheyan Zhang, Diego Klabjan, Renee C. B. Manworren
2024	J	`jnl`	Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization. CoRR Ziwei Su, Diego Klabjan
2024	J	`jnl`	Diminishing Batch Normalization. IEEE Trans. Neural Networks Learn. Syst. Yintai Ma, Diego Klabjan
2024	J	`jnl`	Federated Automated Feature Engineering. CoRR Tom Overman, Diego Klabjan
2024	J	`jnl`	Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network. CoRR Jaeyeon Jang, Diego Klabjan, Veena Mendiratta, Fanfei Meng
2024	A*	`conf`	IIFE: Interaction Information Based Automated Feature Engineering. ICDM Tom Overman, Diego Klabjan, Jean Utke
2024	J	`jnl`	IIFE: Interaction Information Based Automated Feature Engineering. CoRR Tom Overman, Diego Klabjan, Jean Utke
2024	A*	`conf`	IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation. ICML Taejong Joo, Diego Klabjan
2024	A*	`conf`	Improving self-training under distribution shifts via anchored confidence with theoretical guarantees. NeurIPS Taejong Joo, Diego Klabjan
2024	J	`jnl`	Improving self-training under distribution shifts via anchored confidence with theoretical guarantees. CoRR Taejong Joo, Diego Klabjan
2024	J	`jnl`	LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples. CoRR Huiyu Wu, Diego Klabjan
2024	C	`conf`	Multi-Layer Attention-Based Explainability via Transformers for Tabular Data. ICMLA Andrea Treviño Gavito, Diego Klabjan, Jean Utke
2024	B	`conf`	Multimodal Learning on Temporal Data. IEEE Big Data Ye Xue, Diego Klabjan, Jean Utke
2024	A*	`conf`	On the Second-Order Convergence of Biased Policy Gradient Algorithms. ICML Siqiao Mu, Diego Klabjan
2024	J	`jnl`	Reverse Prompt Engineering. CoRR Hanqing Li, Diego Klabjan
2024	J	`jnl`	Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions. CoRR Siqiao Mu, Diego Klabjan
2024	—	`conf`	Robust Softmax Aggregation on Blockchain based Federated Learning with Convergence Guarantee. COINS Huiyu Wu, Diego Klabjan
2024	J	`jnl`	Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling. CoRR Jaeyeon Jang, Diego Klabjan, Han Liu, Nital S. Patel, Xiuqi Li, Balakrishnan Ananthanarayanan, Husam Dauod, Tzung-Han Juang
2024	B	`conf`	Stochastic Large-scale Machine Learning Algorithms with Distributed Features and Observations. IEEE Big Data Biyi Fang, Diego Klabjan, Truong Vo
2024	B	`conf`	Stochastic Scale Invariant Power Iteration for KL-divergence Nonnegative Matrix Factorization. IEEE Big Data Cheolmin Kim, Youngseok Kim, Yegna Subramanian Jambunath, Diego Klabjan
2024	—	`conf`	Unsupervised Video Summarization via Iterative Training and Simplified GAN. ACCV (8) Hanqing Li, Diego Klabjan, Jean Utke
2024	J	`jnl`	Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient. CoRR Yintai Ma, Diego Klabjan, Jean Utke
2023	—	`conf`	A Policy for Early Sequence Classification. ICANN (1) Alexander Cao, Jean Utke, Diego Klabjan
2023	J	`jnl`	A Policy for Early Sequence Classification. CoRR Alexander Cao, Jean Utke, Diego Klabjan
2023	J	`jnl`	An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading. CoRR Shuyang Wang, Diego Klabjan
2023	J	`jnl`	An inverse classification framework with limited budget and maximum number of perturbed samples. Expert Syst. Appl. Jaehoon Koo, Diego Klabjan, Jean Utke
2023	B	`conf`	Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification. IEEE Big Data Stephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan
2023	B	`conf`	Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types. IEEE Big Data Stephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan, Jean Utke
2023	A*	`conf`	Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards. NeurIPS Mengfan Xu, Diego Klabjan
2023	J	`jnl`	Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards. CoRR Mengfan Xu, Diego Klabjan
2023	B	`conf`	Early Classifying Multimodal Sequences. ICMI Alexander Cao, Jean Utke, Diego Klabjan
2023	J	`jnl`	Early Classifying Multimodal Sequences. CoRR Alexander Cao, Jean Utke, Diego Klabjan
2023	J	`jnl`	Efficient Architecture Search for Continual Learning. IEEE Trans. Neural Networks Learn. Syst. Qiang Gao, Zhipeng Luo, Diego Klabjan, Fengli Zhang
2023	B	`conf`	Feature Acquisition Using Monte Carlo Tree Search. IEEE Big Data Sungsoo Lim, Diego Klabjan, Mark Shapiro
2023	—	`conf`	Gradient-Boosted Based Structured and Unstructured Learning. ICANN (3) Andrea Treviño Gavito, Diego Klabjan, Jean Utke
2023	J	`jnl`	Gradient-Boosted Based Structured and Unstructured Learning. CoRR Andrea Treviño Gavito, Diego Klabjan, Jean Utke
2023	J	`jnl`	IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation. CoRR Taejong Joo, Diego Klabjan
2023	J	`jnl`	Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints. CoRR Jaeyeon Jang, Diego Klabjan, Han Liu, Nital S. Patel, Xiuqi Li, Balakrishnan Ananthanarayanan, Husam Dauod, Tzung-Han Juang
2023	J	`jnl`	Multi-Layer Attention-Based Explainability via Transformers for Tabular Data. CoRR Andrea Treviño Gavito, Diego Klabjan, Jean Utke
2023	B	`conf`	Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation. IJCNN Abdolghani Ebrahimi, Diego Klabjan
2023	J	`jnl`	Open-set recognition of breast cancer treatments. Artif. Intell. Medicine Alexander Cao, Diego Klabjan, Yuan Luo
2023	A*	`conf`	Pareto Regret Analyses in Multi-objective Multi-armed Bandit. ICML Mengfan Xu, Diego Klabjan
2023	J	`jnl`	Preliminary Analysis on Second-Order Convergence for Biased Policy Gradient Methods. CoRR Siqiao Mu, Diego Klabjan
2023	J	`jnl`	Regret Lower Bounds in Multi-agent Multi-armed Bandit. CoRR Mengfan Xu, Diego Klabjan
2023	J	`jnl`	Robust softmax aggregation on blockchain based federated learning with convergence guarantee. CoRR Huiyu Wu, Diego Klabjan
2023	J	`jnl`	S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. CoRR Ye Xue, Diego Klabjan, Jean Utke
2023	J	`jnl`	Scale Invariant Power Iteration. J. Mach. Learn. Res. Cheolmin Kim, Youngseok Kim, Diego Klabjan
2023	B	`conf`	Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm. IEEE Big Data Yintai Ma, Diego Klabjan
2023	J	`jnl`	Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm. CoRR Yintai Ma, Diego Klabjan
2023	J	`jnl`	Unsupervised Video Summarization. CoRR Hanqing Li, Diego Klabjan, Jean Utke
2023	J	`jnl`	Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics. CoRR Garrett Blum, Ryan Doris, Diego Klabjan, Horacio Espinosa, Ron Szalkowski
2022	J	`jnl`	A Primal-Dual Algorithm for Hybrid Federated Learning. CoRR Tom Overman, Garrett Blum, Diego Klabjan
2022	B	`conf`	Aggregation Delayed Federated Learning. IEEE Big Data Ye Xue, Diego Klabjan, Yuan Luo
2022	—	`conf`	Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games. ACSW Xin Qian, Rafet Sifa, Xuefei Liu, Shreyashi Ganguly, Borchuluun Yadamsuren, Diego Klabjan, Anders Drachen, Simon Demediuk
2022	C	`conf`	DOTA 2 match prediction through deep learning team fight models. CoG Cheng Hao Ke, Haozhang Deng, Congda Xu, Jiong Li, Xingyun Gu, Borchuluun Yadamsuren, Diego Klabjan, Rafet Sifa, Anders Drachen, Simon Demediuk
2022	J	`jnl`	Divergence Results and Convergence of a Variance Reduced Version of ADAM. CoRR Ruiqi Wang, Diego Klabjan
2022	B	`conf`	Dynamic Cell Structure via Recursive-Recurrent Neural Networks. IEEE Big Data Xin Qian, Matthew Kennedy, Diego Klabjan
2022	J	`jnl`	Feature Acquisition using Monte Carlo Tree Search. CoRR Sungsoo Lim, Diego Klabjan, Mark Shapiro
2022	J	`jnl`	Large-Scale Multi-Document Summarization with Information Extraction and Compression. CoRR Ning Wang, Han Liu, Diego Klabjan
2022	B	`conf`	Nested Multi-view Image Classification. ICPR Abdolghani Ebrahimi, Alexander Stec, Diego Klabjan, Jean Utke
2022	B	`conf`	Open Set Domain Adaptation by Extreme Value Theory. IEEE Big Data Yiming Xu, Diego Klabjan
2022	J	`jnl`	Open-Set Recognition of Breast Cancer Treatments. CoRR Alexander Cao, Diego Klabjan, Yuan Luo
2022	J	`jnl`	Pareto Regret Analyses in Multi-objective Multi-armed Bandit. CoRR Mengfan Xu, Diego Klabjan
2022	J	`jnl`	Topic Analysis for Text with Side Data. CoRR Biyi Fang, Kripa Rajshekhar, Diego Klabjan
2022	J	`jnl`	Tricks and Plugins to GBM on Images and Sequences. CoRR Biyi Fang, Jean Utke, Diego Klabjan
2022	J	`jnl`	Truth validation with evidence. Knowl. Inf. Syst. Papis Wongchaisuwat, Diego Klabjan
2021	A*	`conf`	A Probabilistic Approach to Neural Network Pruning. ICML Xin Qian, Diego Klabjan
2021	J	`jnl`	A Probabilistic Approach to Neural Network Pruning. CoRR Xin Qian, Diego Klabjan
2021	J	`jnl`	Aggregation Delayed Federated Learning. CoRR Ye Xue, Diego Klabjan, Yuan Luo
2021	—	`conf`	Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games. ACSW Rafet Sifa, Anders Drachen, Florian Block, Spencer Moon, Anisha Dubhashi, Hao Xiao, Zili Li, Diego Klabjan, Simon Demediuk
2021	J	`jnl`	Bayesian Active Learning for Choice Models With Deep Gaussian Processes. IEEE Trans. Intell. Transp. Syst. Jie Yang, Diego Klabjan
2021	—	`conf`	Classification Models for Partially Ordered Sequences. ICANN (1) Stephanie Ger, Diego Klabjan, Jean Utke
2021	J	`jnl`	Classification Models for Partially Ordered Sequences. CoRR Stephanie Ger, Diego Klabjan, Jean Utke
2021	—	`conf`	Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels. IEEE BigData Yiming Xu, Diego Klabjan
2021	—	`conf`	Continual Neural Network Model Retraining. IEEE BigData Xiaofeng Zhu, Diego Klabjan
2021	B	`conf`	Generative Adversarial Nets for Multiple Text Corpora. IJCNN Abdolghani Ebrahimi, Diego Klabjan, Baiyang Wang
2021	—	`conf`	Keyword-based Topic Modeling and Keyword Selection. IEEE BigData Xingyu Wang, Lida Zhang, Diego Klabjan
2021	B	`conf`	Layer Flexible Adaptive Computation Time. IJCNN Lida Zhang, Abdolghani Ebrahimi, Diego Klabjan
2021	—	`conf`	Logit-based Uncertainty Measure in Classification. IEEE BigData Huiyu Wu, Diego Klabjan
2021	J	`jnl`	Logit-based Uncertainty Measure in Classification. CoRR Huiyu Wu, Diego Klabjan
2021	J	`jnl`	Neuron-based Pruning of Deep Neural Networks with Better Generalization using Kronecker Factored Curvature Approximation. CoRR Abdolghani Ebrahimi, Diego Klabjan
2021	J	`jnl`	Non-Convex Optimization with Spectral Radius Regularization. CoRR Adam Sandler, Diego Klabjan, Yuan Luo
2021	J	`jnl`	Open Set Domain Adaptation by Extreme Value Theory. CoRR Yiming Xu, Diego Klabjan
2021	A*	`conf`	Open-Set Recognition with Gaussian Mixture Variational Autoencoders. AAAI Alexander Cao, Yuan Luo, Diego Klabjan
2021	A*	`conf`	k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks. IJCAI Yiming Xu, Diego Klabjan
2020	J	`jnl`	A Simple and Fast Algorithm for L1-Norm Kernel PCA. IEEE Trans. Pattern Anal. Mach. Intell. Cheolmin Kim, Diego Klabjan
2020	J	`jnl`	An Approach for the Railway Multiterritory Dispatching Problem. Transp. Sci. Conrado Borraz-Sánchez, Diego Klabjan, Alper Uygur
2020	—	`conf`	Automatic Ontology Learning from Domain-specific Short Unstructured Text Data. KMIS Yiming Xu, Dnyanesh Rajpathak, Ian Gibbs, Diego Klabjan
2020	—	`conf`	Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images. IEEE BigData Jaehoon Koo, Diego Klabjan, Jean Utke
2020	J	`jnl`	Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels. CoRR Yiming Xu, Diego Klabjan
2020	—	`conf`	Dynamic prediction length for time series with sequence to sequence network. ICAIF Diego Klabjan, Mark Harmon
2020	J	`jnl`	Efficient Architecture Search for Continual Learning. CoRR Qiang Gao, Zhipeng Luo, Diego Klabjan
2020	—	`conf`	Improved Classification Based on Deep Belief Networks. ICANN (1) Jaehoon Koo, Diego Klabjan
2020	J	`jnl`	Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples. CoRR Jaehoon Koo, Diego Klabjan, Jean Utke
2020	J	`jnl`	Keyword-based Topic Modeling and Keyword Selection. CoRR Xingyu Wang, Lida Zhang, Diego Klabjan
2020	A	`conf`	Listwise Learning to Rank by Exploring Unique Ratings. WSDM Xiaofeng Zhu, Diego Klabjan
2020	J	`jnl`	Listwise Learning to Rank by Exploring Unique Ratings. CoRR Xiaofeng Zhu, Diego Klabjan
2020	J	`jnl`	Neural Network Retraining for Model Serving. CoRR Diego Klabjan, Xiaofeng Zhu
2020	J	`jnl`	Open-Set Recognition with Gaussian Mixture Variational Autoencoders. CoRR Alexander Cao, Yuan Luo, Diego Klabjan
2020	J	`jnl`	Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms. CoRR Mengfan Xu, Diego Klabjan
2020	—	`conf`	Retention Prediction in Sandbox Games with Bipartite Tensor Factorization. SAI (1) Rafet Sifa, Michael Fedell, Nathan Franklin, Diego Klabjan, Shiva Ram, Arpan Venugopal, Simon Demediuk, Anders Drachen
2020	A	`conf`	Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes. AISTATS Cheolmin Kim, Diego Klabjan
2020	J	`jnl`	Subset selection for multiple linear regression via optimization. J. Glob. Optim. Young Woong Park, Diego Klabjan
2020	J	`jnl`	The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent. CoRR Xin Qian, Diego Klabjan
2019	—	`conf`	A Team Based Player Versus Player Recommender Systems Framework For Player Improvement. ACSW Rishabh Joshi, Varun Gupta, Xinyue Li, Yue Cui, Ziwen Wang, Yaser Norouzzadeh Ravari, Diego Klabjan, Rafet Sifa, Azita Parsaeian, Anders Drachen, Simon Demediuk
2019	—	`conf`	Activation Ensembles for Deep Neural Networks. IEEE BigData Diego Klabjan, Mark Harmon
2019	J	`jnl`	Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences. CoRR Stephanie Ger, Diego Klabjan
2019	J	`jnl`	Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data. CoRR Yiming Xu, Dnyanesh Rajpathak, Ian Gibbs, Diego Klabjan
2019	J	`jnl`	Conditional Hierarchical Bayesian Tucker Decomposition. CoRR Adam Sandler, Diego Klabjan, Yuan Luo
2019	J	`jnl`	Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network. CoRR Biyi Fang, Diego Klabjan
2019	J	`jnl`	Data Extraction from Charts via Single Deep Neural Network. CoRR Xiaoyi Liu, Diego Klabjan, Patrick N. Bless
2019	J	`jnl`	Dynamic Cell Structure via Recursive-Recurrent Neural Networks. CoRR Xin Qian, Matthew Kennedy, Diego Klabjan
2019	—	`conf`	Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. IEEE BigData Ye Xue, Diego Klabjan, Yuan Luo
2019	J	`jnl`	Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. CoRR Ye Xue, Diego Klabjan, Yuan Luo
2019	J	`jnl`	Online adaptive machine learning based algorithm for implied volatility surface modeling. Knowl. Based Syst. Yaxiong Zeng, Diego Klabjan
2019	J	`jnl`	Predicting ICU readmission using grouped physiological and medication trends. Artif. Intell. Medicine Ye Xue, Diego Klabjan, Yuan Luo
2019	J	`jnl`	Scale Invariant Power Iteration. CoRR Cheolmin Kim, Youngseok Kim, Diego Klabjan
2019	J	`jnl`	Semi-Supervised Learning for Discrete Choice Models. IEEE Trans. Intell. Transp. Syst. Jie Yang, Sergey Shebalov, Diego Klabjan
2019	C	`conf`	The trails of Just Cause 2: spatio-temporal player profiling in open-world games. FDG Myat Aung, Simon Demediuk, Yuan Sun, Ye Tu, Yu Ang, Siva Nekkanti, Shantanu Raghav, Diego Klabjan, Rafet Sifa, Anders Drachen
2018	J	`jnl`	A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations. CoRR Biyi Fang, Diego Klabjan
2018	J	`jnl`	Bayesian active learning for choice models with deep Gaussian processes. CoRR Jie Yang, Diego Klabjan
2018	J	`jnl`	Combined convolutional and recurrent neural networks for hierarchical classification of images. CoRR Jaehoon Koo, Diego Klabjan, Jean Utke
2018	A*	`conf`	Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations. ICML Xingyu Wang, Diego Klabjan
2018	J	`jnl`	Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations. CoRR Xingyu Wang, Diego Klabjan
2018	—	`conf`	Controlling the crucible: a novel PvP recommender systems framework for ACSW Rafet Sifa, Eric Pawlakos, Kevin Zhai, Sai Haran, Rohan Jha, Diego Klabjan, Anders Drachen
2018	J	`jnl`	Dynamic Prediction Length for Time Series with Sequence to Sequence Networks. CoRR Mark Harmon, Diego Klabjan
2018	J	`jnl`	Forecasting Crime with Deep Learning. CoRR Alexander Stec, Diego Klabjan
2018	J	`jnl`	Improved Classification Based on Deep Belief Networks. CoRR Jaehoon Koo, Diego Klabjan
2018	J	`jnl`	Large-Scale Adversarial Sports Play Retrieval with Learning to Rank. ACM Trans. Knowl. Discov. Data Mingyang Di, Diego Klabjan, Long Sha, Patrick Lucey
2018	J	`jnl`	Layer Flexible Adaptive Computational Time for Recurrent Neural Networks. CoRR Lida Zhang, Diego Klabjan
2018	C	`conf`	Location-Awareness in Time Series Compression. ADBIS Xu Teng, Andreas Züfle, Goce Trajcevski, Diego Klabjan
2018	J	`jnl`	Nested multi-instance classification. CoRR Alexander Stec, Diego Klabjan, Jean Utke
2018	J	`jnl`	Optimization of Battery Charging and Purchasing at Electric Vehicle Battery Swap Stations. Transp. Sci. Frank Schneider, Ulrich W. Thonemann, Diego Klabjan
2018	—	`ch.`	SolverBlox: algebraic modeling in datalog. Declarative Logic Programming Conrado Borraz-Sánchez, Diego Klabjan, Emir Pasalic, Molham Aref
2018	J	`jnl`	Three iteratively reweighted least squares algorithms for L Knowl. Inf. Syst. Young Woong Park, Diego Klabjan
2018	—	`conf`	To be or not to be...social: incorporating simple social features in mobile game customer lifetime value predictions. ACSW Anders Drachen, Mari Pastor, Aron Liu, Dylan Jack Fontaine, Yuan Chang, Julian Runge, Rafet Sifa, Diego Klabjan
2018	J	`jnl`	Truth Validation with Evidence. CoRR Papis Wongchaisuwat, Diego Klabjan
2018	J	`jnl`	Unified recurrent neural network for many feature types. CoRR Alexander Stec, Diego Klabjan, Jean Utke
2018	J	`jnl`	k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks. CoRR Yiming Xu, Diego Klabjan
2017	J	`jnl`	Activation Ensembles for Deep Neural Networks. CoRR Mark Harmon, Diego Klabjan
2017	J	`jnl`	Adaptive Routing and Recharging Policies for Electric Vehicles. Transp. Sci. Timothy M. Sweda, Irina S. Dolinskaya, Diego Klabjan
2017	J	`jnl`	Algorithms for Generalized Clusterwise Linear Regression. INFORMS J. Comput. Young Woong Park, Yan Jiang, Diego Klabjan, Loren Williams
2017	J	`jnl`	An Attention-Based Deep Net for Learning to Rank. CoRR Baiyang Wang, Diego Klabjan
2017	J	`jnl`	Bayesian Network Learning via Topological Order. CoRR Young Woong Park, Diego Klabjan
2017	J	`jnl`	Bayesian Network Learning via Topological Order. J. Mach. Learn. Res. Young Woong Park, Diego Klabjan
2017	J	`jnl`	Classification-based financial markets prediction using deep neural networks. Algorithmic Finance Matthew Dixon, Diego Klabjan, Jin Hoon Bang
2017	J	`jnl`	Convergence Analysis of Batch Normalization for Deep Neural Nets. CoRR Yintai Ma, Diego Klabjan
2017	J	`jnl`	Generative Adversarial Nets for Multiple Text Corpora. CoRR Baiyang Wang, Diego Klabjan
2017	—	`conf`	Improving the Expected Improvement Algorithm. NIPS Chao Qin, Diego Klabjan, Daniel Russo
2017	J	`jnl`	Improving the Expected Improvement Algorithm. CoRR Chao Qin, Diego Klabjan, Daniel Russo
2017	J	`jnl`	L1-norm Kernel PCA. CoRR Cheolmin Kim, Diego Klabjan
2017	J	`jnl`	Online Adaptive Machine Learning Based Algorithm for Implied Volatility Surface Modeling. CoRR Yaxiong Zeng, Diego Klabjan
2017	J	`jnl`	Optimal Recharging Policies for Electric Vehicles. Transp. Sci. Timothy M. Sweda, Irina S. Dolinskaya, Diego Klabjan
2017	—	`conf`	Optimization for Large-Scale Machine Learning with Distributed Features and Observations. MLDM Alexandros Nathan, Diego Klabjan
2017	C	`conf`	Predicting litigation likelihood and time to litigation for patents. ICAIL P. Wongchaisuwat, Diego Klabjan, John O. McGinnis
2017	A*	`conf`	Regularization for Unsupervised Deep Neural Nets. AAAI Baiyang Wang, Diego Klabjan
2017	—	`conf`	Semantic Document Distance Measures and Unsupervised Document Revision Detection. IJCNLP(1) Xiaofeng Zhu, Diego Klabjan, Patrick N. Bless
2017	J	`jnl`	Semantic Document Distance Measures and Unsupervised Document Revision Detection. CoRR Xiaofeng Zhu, Diego Klabjan, Patrick N. Bless
2017	J	`jnl`	Semi-supervised Learning for Discrete Choice Models. CoRR Jie Yang, Sergey Shebalov, Diego Klabjan
2017	Misc	`conf`	Unsupervised Terminological Ontology Learning Based on Hierarchical Topic Modeling. IRI Xiaofeng Zhu, Diego Klabjan, Patrick N. Bless
2017	J	`jnl`	Unsupervised Terminological Ontology Learning based on Hierarchical Topic Modeling. CoRR Xiaofeng Zhu, Diego Klabjan, Patrick N. Bless
2016	J	`jnl`	A new novel local search integer-programming-based heuristic for PCB assembly on collect-and-place machines. Math. Program. Comput. Anupam Seth, Diego Klabjan, Placid M. Ferreira
2016	J	`jnl`	Algorithms for Generalized Cluster-wise Linear Regression. CoRR Young Woong Park, Yan Jiang, Diego Klabjan, Loren Williams
2016	J	`jnl`	An Aggregate and Iterative Disaggregate Algorithm with Proven Optimality in Machine Learning. CoRR Young Woong Park, Diego Klabjan
2016	J	`jnl`	An aggregate and iterative disaggregate algorithm with proven optimality in machine learning. Mach. Learn. Young Woong Park, Diego Klabjan
2016	J	`jnl`	Classiffication-based Financial Markets Prediction using Deep Neural Networks. CoRR Matthew Dixon, Diego Klabjan, Jin Hoon Bang
2016	J	`jnl`	Going Out of Business: Auction House Behavior in the Massively Multi-Player Online Game. CoRR Anders Drachen, Joseph Riley, Shawna Baskin, Diego Klabjan
2016	—	`conf`	Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny. CIG Anders Drachen, James Green, Chester Gray, Elie Harik, Patty Lu, Rafet Sifa, Diego Klabjan
2016	A*	`conf`	Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis. ICDM Young Woong Park, Diego Klabjan
2016	J	`jnl`	Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis. CoRR Young Woong Park, Diego Klabjan
2016	J	`jnl`	Optimization for Large-Scale Machine Learning with Distributed Features and Observations. CoRR Alexandros Nathan, Diego Klabjan
2016	J	`jnl`	Predicting Shot Making in Basketball using Convolutional Neural Networks Learnt from Adversarial Multiagent Trajectories. CoRR Mark Harmon, Patrick Lucey, Diego Klabjan
2016	J	`jnl`	Predictive Analytics Using Smartphone Sensors for Depressive Episodes. CoRR Taeheon Jeong, Diego Klabjan, Justin Starren
2016	—	`conf`	Rapid Prediction of Player Retention in Free-to-Play Mobile Games. AIIDE Anders Drachen, Eric Thurston Lundquist, Yungjen Kung, Pranav Simha Rao, Rafet Sifa, Julian Runge, Diego Klabjan
2016	J	`jnl`	Rapid Prediction of Player Retention in Free-to-Play Mobile Games. CoRR Anders Drachen, Eric Thurston Lundquist, Yungjen Kung, Pranav Simha Rao, Diego Klabjan, Rafet Sifa, Julian Runge
2016	J	`jnl`	Regularization for Unsupervised Deep Neural Nets. CoRR Baiyang Wang, Diego Klabjan
2016	J	`jnl`	Semantic Properties of Customer Sentiment in Tweets. CoRR Eun Hee Ko, Diego Klabjan
2016	A*	`conf`	Temporal Topic Analysis with Endogenous and Exogenous Processes. AAAI Baiyang Wang, Diego Klabjan
2016	J	`jnl`	Temporal Topic Analysis with Endogenous and Exogenous Processes. CoRR Baiyang Wang, Diego Klabjan
2015	—	`conf`	Implementing deep neural networks for financial market prediction on the Intel Xeon Phi. WHPCF@SC Matthew Dixon, Diego Klabjan, Jin Hoon Bang
2015	J	`jnl`	Lead time considerations for the multi-level capacitated lot-sizing problem. Eur. J. Oper. Res. Christian Almeder, Diego Klabjan, Renate Traxler, Bernardo Almada-Lobo
2015	J	`jnl`	Lifting for mixed integer programs with variable upper bounds. Discret. Appl. Math. Sergey Shebalov, Young Woong Park, Diego Klabjan
2015	J	`jnl`	Lot sizing with minimum order quantity. Discret. Appl. Math. Young Woong Park, Diego Klabjan
2014	J	`jnl`	Approximations to auctions of digital goods with share-averse bidders. Electron. Commer. Res. Appl. Jinxiang Pei, Diego Klabjan, Wei Xie
2014	J	`jnl`	Attributes. Games Econ. Behav. Diego Klabjan, Wojciech Olszewski, Asher Wolinsky
2014	J	`jnl`	Fully Polynomial Time Approximation Schemes for Stochastic Dynamic Programs. SIAM J. Discret. Math. Nir Halman, Diego Klabjan, Chung-Lun Li, James B. Orlin, David Simchi-Levi
2014	J	`jnl`	Going out of business: Auction house behavior in the Massively Multi-player Online Game Glitch. Entertain. Comput. Anders Drachen, Joseph Riley, Shawna Baskin, Diego Klabjan
2014	J	`jnl`	Guest Editorial: Special Issue on Energy and Transportation. Transp. Sci. Diego Klabjan, Warren B. Powell
2014	J	`jnl`	Modeling lotsizing and scheduling problems with sequence dependent setups. Eur. J. Oper. Res. Luís Guimarães, Diego Klabjan, Bernardo Almada-Lobo
2014	—	`conf`	Semantic Properties of Customer Sentiment in Tweets. AINA Workshops Eun Hee Ko, Diego Klabjan
2014	—	`conf`	Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2). GEM Anders Drachen, Matthew Yancey, John Maguire, Derrek Chu, Iris Yuhui Wang, Tobias Mahlmann, Matthias Schubert, Diego Klabjan
2013	J	`jnl`	Analyses of advanced iterated tour partitioning heuristics for generalized vehicle routing problems. Networks Anupam Seth, Diego Klabjan, Placid M. Ferreira
2013	J	`jnl`	Inventory control in multi-channel retail. Eur. J. Oper. Res. Frank Schneider, Diego Klabjan
2013	J	`jnl`	Optimal placement of reconfigurable optical add/drop multiplexers with packing, blocking, and signal loss. Comput. Networks Conrado Borraz-Sánchez, Diego Klabjan
2013	J	`jnl`	Pricing, relaxing and fixing under lot sizing and scheduling. Eur. J. Oper. Res. Luís Guimarães, Diego Klabjan, Bernardo Almada-Lobo
2012	J	`jnl`	A polyhedral study of lot-sizing with supplier selection. Discret. Optim. Yijia Zhao, Diego Klabjan
2012	J	`jnl`	Annual production budget in the beverage industry. Eng. Appl. Artif. Intell. Luís Guimarães, Diego Klabjan, Bernardo Almada-Lobo
2012	J	`jnl`	Automated knowledge source selection and service composition. Comput. Optim. Appl. Patrick N. Bless, Diego Klabjan, Soo Y. Chang
2012	J	`jnl`	Column generation based heuristics for a generalized location routing problem with profits arising in space exploration. Eur. J. Oper. Res. Jaemyung Ahn, Olivier L. de Weck, Yue Geng, Diego Klabjan
2012	J	`jnl`	Computing Near-Optimal Policies in Generalized Joint Replenishment. INFORMS J. Comput. Daniel Adelman, Diego Klabjan
2011	J	`jnl`	Robust Airline Scheduling Under Block-Time Uncertainty. Transp. Sci. Milind G. Sohoni, Yu-Ching Lee, Diego Klabjan
2010	J	`jnl`	Intra market optimization for express package carriers with station to station travel and proportional sorting. Comput. Oper. Res. Luke Schenk, Diego Klabjan
2010	J	`jnl`	Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach. IEEE Trans. Knowl. Data Eng. Hector Gonzalez, Jiawei Han, Hong Cheng, Xiaolei Li, Diego Klabjan, Tianyi Wu
2010	J	`jnl`	Multiple machine continuous setup lotsizing with sequence-dependent setups. Comput. Optim. Appl. Bernardo Almada-Lobo, Diego Klabjan, Maria Antónia Carravilla, José Fernando Oliveira
2010	J	`jnl`	Multiship Crane Sequencing with Yard Congestion Constraints. Transp. Sci. Shawn Choo, Diego Klabjan, David Simchi-Levi
2009	J	`jnl`	A Fully Polynomial-Time Approximation Scheme for Single-Item Stochastic Inventory Control with Discrete Demand. Math. Oper. Res. Nir Halman, Diego Klabjan, Mohamed Mostagir, James B. Orlin, David Simchi-Levi
2009	A*	`conf`	Topology Formation for Wireless Mesh Network Planning. INFOCOM Chun-cheng Chen, Chandra Chekuri, Diego Klabjan
2008	A*	`conf`	Fully polynomial time approximation schemes for stochastic dynamic programs. SODA Nir Halman, Diego Klabjan, Chung-Lun Li, James B. Orlin, David Simchi-Levi
2008	J	`jnl`	Heuristics for automated knowledge source integration and service composition. Comput. Oper. Res. Patrick N. Bless, Diego Klabjan, Soo Y. Chang
2008	J	`jnl`	Intramarket Optimization for Express Package Carriers. Transp. Sci. Luke Schenk, Diego Klabjan
2007	J	`jnl`	An Infinite-Dimensional Linear Programming Algorithm for Deterministic Semi-Markov Decision Processes on Borel Spaces. Math. Oper. Res. Diego Klabjan, Daniel Adelman
2007	J	`jnl`	Integrated Airline Fleeting and Crew-Pairing Decisions. Oper. Res. Rivi Sandhu, Diego Klabjan
2007	J	`jnl`	Subadditive approaches in integer programming. Eur. J. Oper. Res. Diego Klabjan
2006	J	`jnl`	Existence of Optimal Policies for Semi-Markov Decision Processes Using Duality for Infinite Linear Programming. SIAM J. Control. Optim. Diego Klabjan, Daniel Adelman
2006	J	`jnl`	Fleeting with Passenger and Cargo Origin-Destination Booking Control. Transp. Sci. Rivi Sandhu, Diego Klabjan
2006	J	`jnl`	Robust Airline Crew Pairing: Move-up Crews. Transp. Sci. Sergey Shebalov, Diego Klabjan
2006	J	`jnl`	Sequence Independent Lifting for Mixed Integer Programs with Variable Upper Bounds. Math. Program. Sergey Shebalov, Diego Klabjan
2006	A*	`conf`	Warehousing and Analyzing Massive RFID Data Sets. ICDE Hector Gonzalez, Jiawei Han, Xiaolei Li, Diego Klabjan
2006	C	`conf`	Warehousing and Mining Massive RFID Data Sets. ADMA Jiawei Han, Hector Gonzalez, Xiaolei Li, Diego Klabjan
2005	J	`jnl`	Duality and Existence of Optimal Policies in Generalized Joint Replenishment. Math. Oper. Res. Daniel Adelman, Diego Klabjan
2004	J	`jnl`	A New Pricing Scheme for Airline Crew Scheduling. INFORMS J. Comput. Alexandra Makri, Diego Klabjan
2004	J	`jnl`	A Practical Algorithm for Computing a Subadditive Dual Function for Set Partitioning. Comput. Optim. Appl. Diego Klabjan
2003	J	`jnl`	Algorithms for source-to-all maximum cost-to-time ratio problem in acyclic networks. Networks Alexandra Makri, Diego Klabjan
2002	B	`conf`	A New Subadditive Approach to Integer Programming. IPCO Diego Klabjan
2002	J	`jnl`	A Polyhedral Study of Integer Variable Upper Bounds. Math. Oper. Res. Diego Klabjan, George L. Nemhauser
2002	J	`jnl`	Airline Crew Scheduling with Time Windows and Plane-Count Constraints. Transp. Sci. Diego Klabjan, Ellis L. Johnson, George L. Nemhauser, Eric Gelman, Srini Ramaswamy
2001	J	`jnl`	Abstracts for the 2000 Transportation Science Section Dissertation Prize Competition. Transp. Sci. Paolo Toth, Hillel Bar-Gera, Diego Klabjan, Roberto Baldacci, Cenk Çaliskan, Christina Diakaki, Lasse Fridström, Vijay S. Nori
2001	—	`conf`	Airline Crew Pairing Generation in Parallel. PP Diego Klabjan, Karsten Schwan
2001	J	`jnl`	Airline Crew Scheduling with Regularity. Transp. Sci. Diego Klabjan, Ellis L. Johnson, George L. Nemhauser, Eric Gelman, Srini Ramaswamy
2001	J	`jnl`	Solving Large Airline Crew Scheduling Problems: Random Pairing Generation and Strong Branching. Comput. Optim. Appl. Diego Klabjan, Ellis L. Johnson, George L. Nemhauser, Eric Gelman, Srini Ramaswamy
2000	J	`jnl`	A parallel primal-dual simplex algorithm. Oper. Res. Lett. Diego Klabjan, Ellis L. Johnson, George L. Nemhauser
1998	J	`jnl`	The complexity of cover inequality separation. Oper. Res. Lett. Diego Klabjan, George L. Nemhauser, Craig A. Tovey
1998	J	`jnl`	The number of matchings of low order in hexagonal systems. Discret. Math. Diego Klabjan, Bojan Mohar