Milos Hauskrecht

160 papers A* 23A 25B 13C 1Misc 21Journal 48Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Still Competitive: Revisiting Recurrent Models for Irregular Time Series Prediction. Trans. Mach. Learn. Res. Ankitkumar Joshi, Milos Hauskrecht
2025	—	`conf`	Augmentation-Free Contrastive Learning for EKG Classification. AIME (1) Junheng Wang, Milos Hauskrecht
2025	J	`jnl`	Still Competitive: Revisiting Recurrent Models for Irregular Time Series Prediction. CoRR Ankitkumar Joshi, Milos Hauskrecht
2024	—	`conf`	Enhancing Hypotension Prediction in Real-Time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention Mechanisms. AIME (1) Xiangru Chen, Milos Hauskrecht
2024	J	`jnl`	Hierarchical Active Learning With Label Proportions on Data Regions. IEEE Trans. Knowl. Data Eng. Zhipeng Luo, Qiang Gao, Yazhou He, Hongjun Wang, Milos Hauskrecht, Tianrui Li
2023	J	`jnl`	Hierarchical Active Learning With Qualitative Feedback on Regions. IEEE Trans. Hum. Mach. Syst. Zhipeng Luo, Yazhou He, Yanbing Xue, Hongjun Wang, Milos Hauskrecht, Tianrui Li
2023	B	`conf`	Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies. AIME Junheng Wang, Milos Hauskrecht
2023	B	`conf`	Machine Learning Models for Automatic Gene Ontology Annotation of Biological Texts. AIME Jayati H. Jui, Milos Hauskrecht
2023	J	`jnl`	Personalized Event Prediction for Electronic Health Records. CoRR Jeongmin Lee, Milos Hauskrecht
2023	J	`jnl`	Personalized event prediction for Electronic Health Records. Artif. Intell. Medicine Jeongmin Lee, Milos Hauskrecht
2023	—	`conf`	Uncovering the Effects of Genes, Proteins, and Medications on Functions of Wound Healing: A Dependency Rule-Based Text Mining Approach Leveraging GPT-4 based Evaluation. BHI Jayati H. Jui, Milos Hauskrecht
2022	B	`conf`	Hierarchical Deep Multi-task Learning for Classification of Patient Diagnoses. AIME Salim Malakouti, Milos Hauskrecht
2022	J	`jnl`	Learning to Adapt Clinical Sequences with Residual Mixture of Experts. CoRR Jeongmin Lee, Milos Hauskrecht
2022	B	`conf`	Learning to Adapt Dynamic Clinical Event Sequences with Residual Mixture of Experts. AIME Jeongmin Lee, Milos Hauskrecht
2021	Misc	`conf`	A General Two-stage Multi-label Ranking Framework. FLAIRS Yanbing Xue, Milos Hauskrecht
2021	A*	`conf`	Event Outlier Detection in Continuous Time. ICML Siqi Liu, Milos Hauskrecht
2021	B	`conf`	Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning. AIME Matthew Barren, Milos Hauskrecht
2021	J	`jnl`	Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning. CoRR Matthew Barren, Milos Hauskrecht
2021	J	`jnl`	Modeling multivariate clinical event time-series with recurrent temporal mechanisms. Artif. Intell. Medicine Jeongmin Lee, Milos Hauskrecht
2021	B	`conf`	Neural Clinical Event Sequence Prediction Through Personalized Online Adaptive Learning. AIME Jeongmin Lee, Milos Hauskrecht
2021	J	`jnl`	Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning. CoRR Jeongmin Lee, Milos Hauskrecht
2020	Misc	`conf`	Clinical Event Time-Series Modeling with Periodic Events. FLAIRS Jeongmin Lee, Milos Hauskrecht
2020	A	`conf`	Hierarchical Active Learning with Overlapping Regions. CIKM Zhipeng Luo, Milos Hauskrecht
2020	Misc	`conf`	Monitoring ICU Mortality Risk with a Long Short-Term Memory Recurrent Neural Network. PSB Ke Yu, Mingda Zhang, Tianyi Cui, Milos Hauskrecht
2020	B	`conf`	Multi-scale Temporal Memory for Clinical Event Time-Series Prediction. AIME Jeongmin Lee, Milos Hauskrecht
2020	Misc	`conf`	Not All Samples are Equal: Class Dependent Hierarchical Multi-Task Learning for Patient Diagnosis Classification. FLAIRS Salim Malakouti, Milos Hauskrecht
2019	A*	`conf`	Active Learning of Multi-Class Classification Models from Ordered Class Sets. AAAI Yanbing Xue, Milos Hauskrecht
2019	J	`jnl`	Contextual Outlier Detection in Continuous-Time Event Sequences. CoRR Siqi Liu, Milos Hauskrecht
2019	—	`conf`	Hierarchical Adaptive Multi-task Learning Framework for Patient Diagnoses and Diagnostic Category Classification. BIBM Salim Malakouti, Milos Hauskrecht
2019	B	`conf`	Mining Compact Predictive Pattern Sets Using Classification Model. AIME Matteo Mantovani, Carlo Combi, Milos Hauskrecht
2019	A*	`conf`	Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes. NeurIPS Siqi Liu, Milos Hauskrecht
2019	B	`conf`	Predicting Patient's Diagnoses and Diagnostic Categories from Clinical-Events in EHR Data. AIME Seyedsalim Malakouti, Milos Hauskrecht
2019	B	`conf`	Recent Context-Aware LSTM for Clinical Event Time-Series Prediction. AIME Jeongmin Lee, Milos Hauskrecht
2019	A	`conf`	Region-Based Active Learning with Hierarchical and Adaptive Region Construction. SDM Zhipeng Luo, Milos Hauskrecht
2019	J	`jnl`	Using machine learning to selectively highlight patient information. J. Biomed. Informatics Andrew J. King, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Milos Hauskrecht, Dean F. Sittig, Shyam Visweswaran
2018	A*	`conf`	A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic. SIGIR Zitao Liu, Yan Yan, Milos Hauskrecht
2018	Misc	`conf`	Active Learning of Multi-Class Classifiers with Auxiliary Probabilistic Information. FLAIRS Yanbing Xue, Milos Hauskrecht
2018	J	`jnl`	Change-point detection method for clinical decision support system rule monitoring. Artif. Intell. Medicine Siqi Liu, Adam Wright, Milos Hauskrecht
2018	A*	`conf`	Hierarchical Active Learning with Group Proportion Feedback. IJCAI Zhipeng Luo, Milos Hauskrecht
2018	—	`conf`	Hierarchical Active Learning with Proportion Feedback on Regions. ECML/PKDD (2) Zhipeng Luo, Milos Hauskrecht
2018	Misc	`conf`	Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data. FLAIRS Charmgil Hong, Milos Hauskrecht
2018	Misc	`conf`	Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. AMIA Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran
2017	A	`conf`	A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection. CIKM Zitao Liu, Milos Hauskrecht
2017	A	`conf`	Active Learning of Classification Models with Likert-Scale Feedback. SDM Yanbing Xue, Milos Hauskrecht
2017	B	`conf`	Change-Point Detection Method for Clinical Decision Support System Rule Monitoring. AIME Siqi Liu, Adam Wright, Milos Hauskrecht
2017	—	`conf`	Change-point detection for monitoring clinical decision support systems with a multi-process dynamic linear model. BIBM Siqi Liu, Adam Wright, Dean F. Sittig, Milos Hauskrecht
2017	J	`jnl`	Detection of Abnormal Input-Output Associations. CoRR Charmgil Hong, Siqi Liu, Milos Hauskrecht
2017	Misc	`conf`	Efficient Learning of Classification Models from Soft-label Information by Binning and Ranking. FLAIRS Yanbing Xue, Milos Hauskrecht
2017	Misc	`conf`	Group-Based Active Learning of Classification Models. FLAIRS Zhipeng Luo, Milos Hauskrecht
2017	—	`conf`	Methods for Detecting Malfunctions in Clinical Decision Support Systems. MedInfo Adam Wright, Trang T. Hickman, Dustin McEvoy, Skye Aaron, Angela Ai, Joan S. Ash, Jan Marie Andersen, Rachel Badovinac Ramoni, Milos Hauskrecht, Peter J. Embí, Richard Schreiber, Dean F. Sittig, David W. Bates
2017	Misc	`conf`	Online Conditional Outlier Detection in Nonstationary Time Series. FLAIRS Siqi Liu, Adam Wright, Milos Hauskrecht
2016	J	`jnl`	An efficient pattern mining approach for event detection in multivariate temporal data. Knowl. Inf. Syst. Iyad Batal, Gregory F. Cooper, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht
2016	J	`jnl`	Detecting Unusual Input-Output Associations in Multivariate Conditional Data. CoRR Charmgil Hong, Milos Hauskrecht
2016	A*	`conf`	Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data. AAAI Zitao Liu, Milos Hauskrecht
2016	A	`conf`	Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework. SDM Zitao Liu, Milos Hauskrecht
2016	A	`conf`	Learning of Classification Models from Noisy Soft-Labels. ECAI Yanbing Xue, Milos Hauskrecht
2016	A*	`conf`	Multivariate Conditional Outlier Detection and Its Clinical Application. AAAI Charmgil Hong, Milos Hauskrecht
2016	J	`jnl`	Outlier-based detection of unusual patient-management actions: An ICU study. J. Biomed. Informatics Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F. Cooper, Shyam Visweswaran, Gilles Clermont
2015	A	`conf`	A Generalized Mixture Framework for Multi-label Classification. SDM Charmgil Hong, Iyad Batal, Milos Hauskrecht
2015	A*	`conf`	A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis. AAAI Zitao Liu, Milos Hauskrecht
2015	J	`jnl`	Active Perceptual Similarity Modeling with Auxiliary Information. CoRR Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
2015	A	`conf`	Binary Classifier Calibration Using a Bayesian Non-Parametric Approach. SDM Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
2015	J	`jnl`	Clinical time series prediction: Toward a hierarchical dynamical system framework. Artif. Intell. Medicine Zitao Liu, Milos Hauskrecht
2015	A	`conf`	Efficient Online Relative Comparison Kernel Learning. SDM Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
2015	J	`jnl`	Efficient Online Relative Comparison Kernel Learning. CoRR Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
2015	J	`jnl`	MCODE: Multivariate Conditional Outlier Detection. CoRR Charmgil Hong, Milos Hauskrecht
2015	A*	`conf`	Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic. ICDM Zitao Liu, Yan Yan, Jian Yang, Milos Hauskrecht
2015	A*	`conf`	Multivariate Conditional Anomaly Detection and Its Clinical Application. AAAI Charmgil Hong, Milos Hauskrecht
2015	A*	`conf`	Obtaining Well Calibrated Probabilities Using Bayesian Binning. AAAI Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
2015	J	`jnl`	Sparse Multidimensional Patient Modeling using Auxiliary Confidence Labels. CoRR Eric Heim, Milos Hauskrecht
2015	—	`conf`	Sparse multidimensional patient modeling using auxiliary confidence labels. BIBM Eric Heim, Milos Hauskrecht
2014	J	`jnl`	A Mixtures-of-Experts Framework for Multi-Label Classification. CoRR Charmgil Hong, Iyad Batal, Milos Hauskrecht
2014	A	`conf`	A Mixtures-of-Trees Framework for Multi-Label Classification. CIKM Charmgil Hong, Iyad Batal, Milos Hauskrecht
2014	A	`conf`	An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. SDM Mahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht
2014	J	`jnl`	Binary Classifier Calibration: Bayesian Non-Parametric Approach. CoRR Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
2014	J	`jnl`	Binary Classifier Calibration: Non-parametric approach. CoRR Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht
2014	Misc	`conf`	Identifying Clinical Decision Support Failures using Change-point Detection. AMIA Adam Wright, Francine L. Maloney, Rachel B. Ramoni, Milos Hauskrecht, Peter J. Embí, Pamela M. Neri, Dean F. Sittig, David W. Bates
2014	J	`jnl`	Learning classification models with soft-label information. J. Am. Medical Informatics Assoc. Quang Nguyen, Hamed Valizadegan, Milos Hauskrecht
2014	—	`conf`	Relative Comparison Kernel Learning with Auxiliary Kernels. ECML/PKDD (1) Eric Heim, Hamed Valizadegan, Milos Hauskrecht
2013	J	`jnl`	A Clustering Approach to Solving Large Stochastic Matching Problems CoRR Milos Hauskrecht, Eli Upfal
2013	J	`jnl`	A temporal pattern mining approach for classifying electronic health record data. ACM Trans. Intell. Syst. Technol. Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
2013	A	`conf`	An efficient probabilistic framework for multi-dimensional classification. CIKM Iyad Batal, Charmgil Hong, Milos Hauskrecht
2013	B	`conf`	Clinical Time Series Prediction with a Hierarchical Dynamical System. AIME Zitao Liu, Milos Hauskrecht
2013	—	`conf`	Conditional Outlier Approach for Detection of Unusual Patient Care Actions. AAAI (Late-Breaking Developments) Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
2013	Misc	`conf`	Data-driven identification of unusual clinical actions in the ICU. AMIA Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
2013	J	`jnl`	Hierarchical Solution of Markov Decision Processes using Macro-actions CoRR Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
2013	J	`jnl`	Learning classification models from multiple experts. J. Biomed. Informatics Hamed Valizadegan, Quang Nguyen, Milos Hauskrecht
2013	A	`conf`	Modeling Clinical Time Series Using Gaussian Process Sequences. SDM Milos Hauskrecht, Zitao Liu, Lei Wu
2013	J	`jnl`	Outlier detection for patient monitoring and alerting. J. Biomed. Informatics Milos Hauskrecht, Iyad Batal, Michal Valko, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
2013	J	`jnl`	Relative Comparison Kernel Learning with Auxiliary Kernels. CoRR Eric Heim, Hamed Valizadegan, Milos Hauskrecht
2013	J	`jnl`	Sparse Linear Dynamical System with Its Application in Multivariate Clinical Time Series. CoRR Zitao Liu, Milos Hauskrecht
2013	A	`conf`	The Bregman Variational Dual-Tree Framework. UAI Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
2013	J	`jnl`	The Bregman Variational Dual-Tree Framework. CoRR Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
2012	—	`conf`	A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules. ECML/PKDD (2) Iyad Batal, Gregory F. Cooper, Milos Hauskrecht
2012	—	`conf`	A multivariate probabilistic method for comparing two clinical datasets. IHI Yuriy Sverchkov, Shyam Visweswaran, Gilles Clermont, Milos Hauskrecht, Gregory F. Cooper
2012	A	`conf`	Factorized Diffusion Map Approximation. AISTATS Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht
2012	—	`conf`	Keyword annotation of biomedicai documents with graph-based similarity methods. BIBM Shuguang Wang, Milos Hauskrecht
2012	Misc	`conf`	Learning Medical Diagnosis Models from Multiple Experts. AMIA Hamed Valizadegan, Quang Nguyen, Milos Hauskrecht
2012	A*	`conf`	Mining recent temporal patterns for event detection in multivariate time series data. KDD Iyad Batal, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht
2012	J	`jnl`	Monte-Carlo optimizations for resource allocation problems in stochastic network systems CoRR Milos Hauskrecht, Tomás Singliar
2012	J	`jnl`	Partitioned Linear Programming Approximations for MDPs CoRR Branislav Kveton, Milos Hauskrecht
2012	A	`conf`	Sampling Strategies to Evaluate the Performance of Unknown Predictors. SDM Hamed Valizadegan, Saeed Amizadeh, Milos Hauskrecht
2012	J	`jnl`	Solving Factored MDPs with Continuous and Discrete Variables CoRR Carlos Guestrin, Milos Hauskrecht, Branislav Kveton
2012	J	`jnl`	Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation CoRR Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
2012	A	`conf`	Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation. UAI Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
2011	—	`conf`	A Pattern Mining Approach for Classifying Multivariate Temporal Data. BIBM Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
2011	A*	`conf`	An Efficient Framework for Constructing Generalized Locally-Induced Text Metrics. IJCAI Saeed Amizadeh, Shuguang Wang, Milos Hauskrecht
2011	A*	`conf`	Conditional Anomaly Detection with Soft Harmonic Functions. ICDM Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht
2011	A*	`conf`	Learning Classification with Auxiliary Probabilistic Information. ICDM Quang Nguyen, Hamed Valizadegan, Milos Hauskrecht
2011	—	`conf`	MARBLS: a visual environment for building clinical alert rules. UIST (Adjunct Volume) Dave Krebs, Alexander Conrad, Milos Hauskrecht, Jingtao Wang
2011	J	`jnl`	Solving Factored MDPs with Hybrid State and Action Variables CoRR Carlos Guestrin, Milos Hauskrecht, Branislav Kveton
2011	J	`jnl`	Value-Function Approximations for Partially Observable Markov Decision Processes CoRR Milos Hauskrecht
2010	—	`conf`	A Concise Representation of Association Rules Using Minimal Predictive Rules. ECML/PKDD (1) Iyad Batal, Milos Hauskrecht
2010	A	`conf`	Constructing classification features using minimal predictive patterns. CIKM Iyad Batal, Milos Hauskrecht
2010	A*	`conf`	Effective query expansion with the resistance distance based term similarity metric. SIGIR Shuguang Wang, Milos Hauskrecht
2010	J	`jnl`	Efficient Peak-Labeling Algorithms for Whole-Sample Mass Spectrometry Proteomics. IEEE ACM Trans. Comput. Biol. Bioinform. Richard Pelikan, Milos Hauskrecht
2010	—	`conf`	Feature importance analysis for patient management decisions. MedInfo Michal Valko, Milos Hauskrecht
2010	A*	`conf`	Latent Variable Model for Learning in Pairwise Markov Networks. AAAI Saeed Amizadeh, Milos Hauskrecht
2010	J	`jnl`	Learning to detect incidents from noisily labeled data. Mach. Learn. Tomás Singliar, Milos Hauskrecht
2009	C	`conf`	A Supervised Time Series Feature Extraction Technique Using DCT and DWT. ICMLA Iyad Batal, Milos Hauskrecht
2009	Misc	`conf`	A Temporal Abstraction Framework for Classifying Clinical Temporal Data. AMIA Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos Hauskrecht
2009	A	`conf`	Boosting KNN text classification accuracy by using supervised term weighting schemes. CIKM Iyad Batal, Milos Hauskrecht
2009	—	`conf`	Document Retrieval using a Probabilistic Knowledge Model. KDIR Shuguang Wang, Shyam Visweswaran, Milos Hauskrecht
2009	Misc	`conf`	Improving Biomedical Document Retrieval by Mining Domain Knowledge. FLAIRS Shuguang Wang, Milos Hauskrecht
2009	Misc	`conf`	Multivariate Time Series Classification with Temporal Abstractions. FLAIRS Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos Hauskrecht
2008	Misc	`conf`	Approximation Strategies for Routing in Stochastic Dynamic Networks. ISAIM Tomás Singliar, Milos Hauskrecht
2008	Misc	`conf`	Distance Metric Learning for Conditional Anomaly Detection. FLAIRS Michal Valko, Milos Hauskrecht
2008	A*	`conf`	Improving biomedical document retrieval using domain knowledge. SIGIR Shuguang Wang, Milos Hauskrecht
2008	A	`conf`	Partitioned Linear Programming Approximations for MDPs. UAI Branislav Kveton, Milos Hauskrecht
2007	Misc	`conf`	Evidence-based Anomaly Detection in Clinical Domains. AMIA Milos Hauskrecht, Michal Valko, Branislav Kveton, Shyam Visweswaran, Gregory F. Cooper
2007	J	`jnl`	Intersession reproducibility of mass spectrometry profiles and its effect on accuracy of multivariate classification models. Bioinform. Richard Pelikan, William L. Bigbee, David Malehorn, James Lyons-Weiler, Milos Hauskrecht
2007	—	`conf`	Learning to Detect Adverse Traffic Events from Noisily Labeled Data. PKDD Tomás Singliar, Milos Hauskrecht
2007	—	`conf`	Modeling Highway Traffic Volumes. ECML Tomás Singliar, Milos Hauskrecht
2006	—	`conf`	Approximate Linear Programming for Solving Hybrid Factored MDPs. AI&M Milos Hauskrecht
2006	A*	`conf`	Learning Basis Functions in Hybrid Domains. AAAI Branislav Kveton, Milos Hauskrecht
2006	J	`jnl`	Noisy-OR Component Analysis and its Application to Link Analysis. J. Mach. Learn. Res. Tomás Singliar, Milos Hauskrecht
2006	—	`conf`	Secure-CITI Critical Information-Technology Infrastructure. DG.O Daniel Mossé, Louise K. Comfort, Ahmed Amer, José Carlos Brustoloni, Panos K. Chrysanthis, Milos Hauskrecht, Alexandros Labrinidis, Rami G. Melhem, Kirk Pruhs
2006	A*	`conf`	Solving Factored MDPs with Exponential-Family Transition Models. ICAPS Branislav Kveton, Milos Hauskrecht
2006	J	`jnl`	Solving Factored MDPs with Hybrid State and Action Variables. J. Artif. Intell. Res. Branislav Kveton, Milos Hauskrecht, Carlos Guestrin
2005	A*	`conf`	An MCMC Approach to Solving Hybrid Factored MDPs. IJCAI Branislav Kveton, Milos Hauskrecht
2005	A	`conf`	Variational Learning for Noisy-OR Component Analysis. SDM Tomás Singliar, Milos Hauskrecht
2004	A*	`conf`	Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes. ICAPS Branislav Kveton, Milos Hauskrecht
2004	Misc	`conf`	Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer. Pacific Symposium on Biocomputing Xinghua Lu, Milos Hauskrecht, Roger S. Day
2004	A	`conf`	Solving Factored MDPs with Continuous and Discrete Variables. UAI Carlos Guestrin, Milos Hauskrecht, Branislav Kveton
2003	—	`conf`	Linear Program Approximations for Factored Continuous-State Markov Decision Processes. NIPS Milos Hauskrecht, Branislav Kveton
2003	A	`conf`	Monte-Carlo optimizations for resource allocation problems in stochastic network systems. UAI Milos Hauskrecht, Tomás Singliar
2001	A	`conf`	A Clustering Approach to Solving Large Stochastic Matching Problems. UAI Milos Hauskrecht, Eli Upfal
2001	J	`jnl`	Efficient Methods for Computing Investment Strategies for Multi-Market Commodity Trading. Appl. Artif. Intell. Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochantaridis, Eli Upfal
2000	—	`conf`	Computing Global Strategies for Multi-Market Commodity Trading. AIPS Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochantaridis, Eli Upfal
2000	J	`jnl`	Planning treatment of ischemic heart disease with partially observable Markov decision processes. Artif. Intell. Medicine Milos Hauskrecht, Hamish S. F. Fraser
2000	J	`jnl`	Value-Function Approximations for Partially Observable Markov Decision Processes. J. Artif. Intell. Res. Milos Hauskrecht
1999	A*	`conf`	Computing Near Optimal Strategies for Stochastic Investment Planning Problems. IJCAI Milos Hauskrecht, Gopal Pandurangan, Eli Upfal
1998	A	`conf`	Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
1998	Misc	`conf`	Modeling treatment of ischemic heart disease with partially observable Markov decision processes. AMIA Milos Hauskrecht, Hamish Fraser
1998	—	`conf`	Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
1997	B	`conf`	Dynamic Decision Making in Stochastic Partially Observable Domains: Ischemic Heart Disease Example. AIME Milos Hauskrecht
1997	—	`conf`	Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes. AAAI/IAAI Milos Hauskrecht
1997	—	`—`	Planning and control in stochastic domains with imperfect information. Milos Hauskrecht
1991	—	`conf`	Declarative and operational in knowledge based systems. MIE M. Popper, Milos Hauskrecht
1991	—	`conf`	The operational aspects of object-oriented approach in medical expert systems design. MIE J. Stanek, M. Popper, Milos Hauskrecht