Milos Hauskrecht

2008
28		Michal Valko, Milos Hauskrecht: Distance Metric Learning for Conditional Anomaly Detection. FLAIRS Conference 2008: 684-689
27	EE	Shuguang Wang, Milos Hauskrecht: Improving biomedical document retrieval using domain knowledge. SIGIR 2008: 785-786
26	EE	Branislav Kveton, Milos Hauskrecht: Partitioned Linear Programming Approximations for MDPs. UAI 2008: 341-348
2007
25	EE	Tomás Singliar, Milos Hauskrecht: Modeling Highway Traffic Volumes. ECML 2007: 732-739
24	EE	Tomás Singliar, Milos Hauskrecht: Learning to Detect Adverse Traffic Events from Noisily Labeled Data. PKDD 2007: 236-247
23	EE	Richard Pelikan, William L. Bigbee, David Malehorn, James Lyons-Weiler, Milos Hauskrecht: Intersession reproducibility of mass spectrometry profiles and its effect on accuracy of multivariate classification models. Bioinformatics 23(22): 3065-3072 (2007)
2006
22		Branislav Kveton, Milos Hauskrecht: Learning Basis Functions in Hybrid Domains. AAAI 2006
21	EE	Daniel Mossé, Louise Comfort, Ahmed Amer, José Carlos Brustoloni, Panos K. Chrysanthis, Milos Hauskrecht, Alexandros Labrinidis, Rami G. Melhem, Kirk Pruhs: Secure-CITI Critical Information-Technology Infrastructure. DG.O 2006: 253-254
20		Branislav Kveton, Milos Hauskrecht: Solving Factored MDPs with Exponential-Family Transition Models. ICAPS 2006: 114-120
19	EE	Branislav Kveton, Milos Hauskrecht, Carlos Guestrin: Solving Factored MDPs with Hybrid State and Action Variables. J. Artif. Intell. Res. (JAIR) 27: 153-201 (2006)
18	EE	Tomás Singliar, Milos Hauskrecht: Noisy-OR Component Analysis and its Application to Link Analysis. Journal of Machine Learning Research 7: 2189-2213 (2006)
2005
17	EE	Branislav Kveton, Milos Hauskrecht: An MCMC Approach to Solving Hybrid Factored MDPs. IJCAI 2005: 1346-1351
16		Tomás Singliar, Milos Hauskrecht: Variational Learning for Noisy-OR Component Analysis. SDM 2005
2004
15		Branislav Kveton, Milos Hauskrecht: Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes. ICAPS 2004: 306-314
14	EE	Xinghua Lu, Milos Hauskrecht, Roger S. Day: Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer. Pacific Symposium on Biocomputing 2004: 533-544
13	EE	Carlos Guestrin, Milos Hauskrecht, Branislav Kveton: Solving Factored MDPs with Continuous and Discrete Variables. UAI 2004: 235-242
2003
12	EE	Milos Hauskrecht, Branislav Kveton: Linear Program Approximations for Factored Continuous-State Markov Decision Processes. NIPS 2003
11		Milos Hauskrecht, Tomás Singliar: Monte-Carlo optimizations for resource allocation problems in stochastic network systems. UAI 2003: 305-312
2001
10	EE	Milos Hauskrecht, Eli Upfal: A Clustering Approach to Solving Large Stochastic Matching Problems. UAI 2001: 219-226
9		Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochantaridis, Eli Upfal: Efficient Methods for Computing Investment Strategies for Multi-Market Commodity Trading. Applied Artificial Intelligence 15(5): 429-452 (2001)
2000
8		Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochantaridis, Eli Upfal: Computing Global Strategies for Multi-Market Commodity Trading. AIPS 2000: 159-166
7		Milos Hauskrecht, Hamish S. F. Fraser: Planning treatment of ischemic heart disease with partially observable Markov decision processes. Artificial Intelligence in Medicine 18(3): 221-244 (2000)
6	EE	Milos Hauskrecht: Value-Function Approximations for Partially Observable Markov Decision Processes. J. Artif. Intell. Res. (JAIR) 13: 33-94 (2000)
1999
5		Milos Hauskrecht, Gopal Pandurangan, Eli Upfal: Computing Near Optimal Strategies for Stochastic Investment Planning Problems. IJCAI 1999: 1310-1315
1998
4		Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier: Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI 1998: 165-172
3	EE	Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier: Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI 1998: 220-229
1997
2		Milos Hauskrecht: Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes. AAAI/IAAI 1997: 734-739
1		Milos Hauskrecht: Dynamic Decision Making in Stochastic Partially Observable Domains: Ischemic Heart Disease Example. AIME 1997: 296-299

Coauthor Index

1	Ahmed Amer	[21]
2	William L. Bigbee	[23]
3	Craig Boutilier	[3] [4]
4	José Carlos Brustoloni (Jose Carlos Brustoloni)	[21]
5	Panos K. Chrysanthis	[21]
6	Louise Comfort	[21]
7	Roger S. Day	[14]
8	Thomas Dean	[3] [4]
9	Hamish S. F. Fraser	[7]
10	Carlos Guestrin	[13] [19]
11	Leslie Pack Kaelbling	[3] [4]
12	Kee-Eung Kim	[4]
13	Branislav Kveton	[12] [13] [15] [17] [19] [20] [22] [26]
14	Alexandros Labrinidis	[21]
15	Xinghua Lu	[14]
16	James Lyons-Weiler	[23]
17	David Malehorn	[23]
18	Rami G. Melhem	[21]
19	Nicolas Meuleau	[3] [4]
20	Daniel Mossé	[21]
21	Luis E. Ortiz	[8] [9]
22	Gopal Pandurangan	[5]
23	Richard Pelikan	[23]
24	Leonid Peshkin	[4]
25	Kirk Pruhs	[21]
26	Tomás Singliar	[11] [16] [18] [24] [25]
27	Ioannis Tsochantaridis	[8] [9]
28	Eli Upfal	[5] [8] [9] [10]
29	Michal Valko	[28]
30	Shuguang Wang	[27]

Colors in the list of coauthors