Milos Hauskrecht

	2008
28		Michal Valko, Milos Hauskrecht: Distance Metric Learning for Conditional Anomaly Detection. FLAIRS Conference 2008: 684-689
27		Shuguang Wang, Milos Hauskrecht: Improving biomedical document retrieval using domain knowledge. SIGIR 2008: 785-786
26		Branislav Kveton, Milos Hauskrecht: Partitioned Linear Programming Approximations for MDPs. UAI 2008: 341-348
	2007
25		Tomás Singliar, Milos Hauskrecht: Modeling Highway Traffic Volumes. ECML 2007: 732-739
24		Tomás Singliar, Milos Hauskrecht: Learning to Detect Adverse Traffic Events from Noisily Labeled Data. PKDD 2007: 236-247
23		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		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		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		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		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		Xinghua Lu, Milos Hauskrecht, Roger S. Day: Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer. Pacific Symposium on Biocomputing 2004: 533-544
13		Carlos Guestrin, Milos Hauskrecht, Branislav Kveton: Solving Factored MDPs with Continuous and Discrete Variables. UAI 2004: 235-242
	2003
12		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		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		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		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