Hauskrecht, Milos

34 publications

TMLR 2026 Still Competitive: Revisiting Recurrent Models for Irregular Time Series Prediction Ankitkumar Joshi, Milos Hauskrecht

ICML 2021 Event Outlier Detection in Continuous Time Siqi Liu, Milos Hauskrecht

AAAI 2019 Active Learning of Multi-Class Classification Models from Ordered Class Sets Yanbing Xue, Milos Hauskrecht

NeurIPS 2019 Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes Siqi Liu, Milos Hauskrecht

IJCAI 2018 Hierarchical Active Learning with Group Proportion Feedback Zhipeng Luo, Milos Hauskrecht

ECML-PKDD 2018 Hierarchical Active Learning with Proportion Feedback on Regions Zhipeng Luo, Milos Hauskrecht

AAAI 2016 Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data Zitao Liu, Milos Hauskrecht

AAAI 2016 Multivariate Conditional Outlier Detection and Its Clinical Application Charmgil Hong, Milos Hauskrecht

AAAI 2015 A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis Zitao Liu, Milos Hauskrecht

AAAI 2015 Multivariate Conditional Anomaly Detection and Its Clinical Application Charmgil Hong, Milos Hauskrecht

AAAI 2015 Obtaining Well Calibrated Probabilities Using Bayesian Binning Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht

ECML-PKDD 2014 Relative Comparison Kernel Learning with Auxiliary Kernels Eric Heim, Hamed Valizadegan, Milos Hauskrecht

UAI 2013 The Bregman Variational Dual-Tree Framework Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht

ECML-PKDD 2012 A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules Iyad Batal, Gregory F. Cooper, Milos Hauskrecht

AISTATS 2012 Factorized Diffusion mAP Approximation Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht

UAI 2012 Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht

IJCAI 2011 An Efficient Framework for Constructing Generalized Locally-Induced Text Metrics Saeed Amizadeh, Shuguang Wang, Milos Hauskrecht

ECML-PKDD 2010 A Concise Representation of Association Rules Using Minimal Predictive Rules Iyad Batal, Milos Hauskrecht

AAAI 2010 Latent Variable Model for Learning in Pairwise Markov Networks Saeed Amizadeh, Milos Hauskrecht

MLJ 2010 Learning to Detect Incidents from Noisily Labeled Data Tomás Singliar, Milos Hauskrecht

UAI 2008 Partitioned Linear Programming Approximations for MDPs Branislav Kveton, Milos Hauskrecht

AAAI 2006 Learning Basis Functions in Hybrid Domains Branislav Kveton, Milos Hauskrecht

JMLR 2006 Noisy-or Component Analysis and Its Application to Link Analysis Tomáš Šingliar, Miloš Hauskrecht

JAIR 2006 Solving Factored MDPs with Hybrid State and Action Variables Branislav Kveton, Milos Hauskrecht, Carlos Guestrin

IJCAI 2005 An MCMC Approach to Solving Hybrid Factored MDPs Branislav Kveton, Milos Hauskrecht

UAI 2004 Solving Factored MDPs with Continuous and Discrete Variables Carlos Guestrin, Milos Hauskrecht, Branislav Kveton

NeurIPS 2003 Linear Program Approximations for Factored Continuous-State Markov Decision Processes Milos Hauskrecht, Branislav Kveton

UAI 2003 Monte-Carlo Optimizations for Resource Allocation Problems in Stochastic Network Systems Milos Hauskrecht, Tomás Singliar

UAI 2001 A Clustering Approach to Solving Large Stochastic Matching Problems Milos Hauskrecht, Eli Upfal

JAIR 2000 Value-Function Approximations for Partially Observable Markov Decision Processes Milos Hauskrecht

IJCAI 1999 Computing near Optimal Strategies for Stochastic Investment Planning Problems Milos Hauskrecht, Gopal Pandurangan, Eli Upfal

UAI 1998 Hierarchical Solution of Markov Decision Processes Using Macro-Actions Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier

AAAI 1998 Solving Very Large Weakly Coupled Markov Decision Processes Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier

AAAI 1997 Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes Milos Hauskrecht