Marek J. Druzdzel

	2012
60		Mark Voortman, Denver Dash, Marek J. Druzdzel: Learning Why Things Change: The Difference-Based Causality Learner CoRR abs/1203.3525: (2012)
	2011
59		Jian Cheng, Marek J. Druzdzel: AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks CoRR abs/1106.0253: (2011)
	2010
58		Mark Voortman, Denver Dash, Marek J. Druzdzel: Learning Why Things Change: The Difference-Based Causality Learner. UAI 2010: 641-650
57		Mark Voortman, Denver Dash, Marek J. Druzdzel: Learning Causal Models That Make Correct Manipulation Predictions. Journal of Machine Learning Research - Proceedings Track 6: 257-266 (2010)
	2009
56		John Mark Agosta, Russell Almond, Dennis M. Buede, Marek J. Druzdzel, Judy Goldsmith, Silja Renooij: Workshop summary: Seventh annual workshop on Bayes applications. ICML 2009: 163
55		Marek J. Druzdzel: Rapid modeling and analysis with QGENIE. IMCSIT 2009: 157-164
54		Parot Ratnapinda, Marek J. Druzdzel: Passive construction of diagnostic decision models: An empirical evaluation. IMCSIT 2009: 601-607
53		Tsai-Ching Lu, Marek J. Druzdzel: Interactive construction of graphical decision models based on causal mechanisms. European Journal of Operational Research 199(3): 873-882 (2009)
	2008
52		Mark Voortman, Marek J. Druzdzel: Insensitivity of Constraint-Based Causal Discovery Algorithms to Violations of the Assumption of Multivariate Normality. FLAIRS Conference 2008: 690-695
51		Denver Dash, Marek J. Druzdzel: A note on the correctness of the causal ordering algorithm. Artif. Intell. 172(15): 1800-1808 (2008)
	2007
50		Changhe Yuan, Marek J. Druzdzel: Generalized Evidence Pre-propagated Importance Sampling for Hybrid Bayesian Networks. AAAI 2007: 1296-
49		Changhe Yuan, Marek J. Druzdzel: Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks. Canadian Conference on AI 2007: 332-343
48		Martinus de Jongh, Marek J. Druzdzel, Léon J. M. Rothkrantz: Implementing and improving a method for non-invasive elicitation of probabilities for Bayesian networks. CompSysTech 2007: 117
47		Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan: Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks. IJCAI 2007: 2385-2390
46		Changhe Yuan, Marek J. Druzdzel: Theoretical analysis and practical insights on importance sampling in Bayesian networks. Int. J. Approx. Reasoning 46(2): 320-333 (2007)
45		Changhe Yuan, Marek J. Druzdzel: Importance Sampling for General Hybrid Bayesian Networks. Journal of Machine Learning Research - Proceedings Track 2: 652-659 (2007)
	2006
44		Adam Zagorecki, Marek J. Druzdzel: Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice? ECAI 2006: 482-
43		Adam Zagorecki, Mark Voortman, Marek J. Druzdzel: Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning. FLAIRS Conference 2006: 860-865
42		Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan: Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks. Probabilistic Graphical Models 2006: 279-286
41		Changhe Yuan, Marek J. Druzdzel: Hybrid Loopy Belief Propagation. Probabilistic Graphical Models 2006: 317-324
40		Adam Zagorecki, Marek J. Druzdzel: Probabilistic Independence of Causal Influences. Probabilistic Graphical Models 2006: 325-332
39		Changhe Yuan, Marek J. Druzdzel: Importance sampling algorithms for Bayesian networks: Principles and performance. Mathematical and Computer Modelling 43(9-10): 1189-1207 (2006)
	2005
38		Tsai-Ching Lu, Marek J. Druzdzel: Mechanism-based Causal Models for Adaptive Decision Support. AAAI Spring Symposium: Challenges to Decision Support in a Changing World 2005: 73-79
37		Marek J. Druzdzel, Tze-Yun Leong: Organizing Committee. AAAI Spring Symposium: Challenges to Decision Support in a Changing World 2005
36		Marek J. Druzdzel, Tze-Yun Leong: Preface. AAAI Spring Symposium: Challenges to Decision Support in a Changing World 2005
35		Changhe Yuan, Marek J. Druzdzel: How Heavy Should the Tails Be? FLAIRS Conference 2005: 799-805
34		Michael L. Anderson, Thomas Barkowsky, Pauline Berry, Douglas S. Blank, Timothy Chklovski, Pedro Domingos, Marek J. Druzdzel, Christian Freksa, John Gersh, Mary Hegarty, Tze-Yun Leong, Henry Lieberman, Ric K. Lowe, Susann Luperfoy, Rada Mihalcea, Lisa Meeden, David P. Miller, Tim Oates, Robert L. Popp, Daniel G. Shapiro, Nathan Schurr, Push Singh, John Yen: Reports on the 2005 AAAI Spring Symposium Series. AI Magazine 26(2): 87-92 (2005)
	2004
33		Adam Zagorecki, Marek J. Druzdzel: An Empirical Study of Probability Elicitation Under Noisy-OR Assumption. FLAIRS Conference 2004
32		Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel: Annealed MAP. UAI 2004: 628-635
	2003
31		Denver Dash, Marek J. Druzdzel: Robust Independence Testing for Constraint-Based Learning of Causal Structure. UAI 2003: 167-174
30		Changhe Yuan, Marek J. Druzdzel: An Importance Sampling Algorithm Based on Evidence Pre-propagation. UAI 2003: 624-631
29		Marek J. Druzdzel, Francisco Javier Díez: Combining Knowledge from Different Sources in Causal Probabilistic Models. Journal of Machine Learning Research 4: 295-316 (2003)
	2002
28		Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk: An Experimental Comparison of Methods for Handling Incomplete Data in Learning Parameters of Bayesian Networks. Intelligent Information Systems 2002: 351-360
27		Tsai-Ching Lu, Marek J. Druzdzel: Causal Models, Value of Intervention, and Search for Opportunities. Probabilistic Graphical Models 2002
26		Haiqin Wang, Denver Dash, Marek J. Druzdzel: A method for evaluating elicitation schemes for probabilistic models. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(1): 38-43 (2002)
	2001
25		Agnieszka Onisko, Peter J. F. Lucas, Marek J. Druzdzel: Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems. AIME 2001: 283-292
24		Denver Dash, Marek J. Druzdzel: Caveats for Causal Reasoning with Equilibrium Models. ECSQARU 2001: 192-203
23		Tsai-Ching Lu, Marek J. Druzdzel: Supporting Changes in Structure in Causal Model Construction. ECSQARU 2001: 204-215
22		Haiqin Wang, Denver Dash, Marek J. Druzdzel: A Method for Evaluating Elicitation Schemes for Probabilities. FLAIRS Conference 2001: 607-612
21		Jian Cheng, Marek J. Druzdzel: Confidence Inference in Bayesian Networks. UAI 2001: 75-82
20		Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk: Learning Bayesian network parameters from small data sets: application of Noisy-OR gates. Int. J. Approx. Reasoning 27(2): 165-182 (2001)
19		Marek J. Druzdzel, Hans Van Leijen: Causal reversibility in Bayesian networks. J. Exp. Theor. Artif. Intell. 13(1): 45-62 (2001)
	2000
18		Jian Cheng, Marek J. Druzdzel: Latin Hypercube Sampling in Bayesian Networks. FLAIRS Conference 2000: 287-292
17		Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong: Causal Mechanism-based Model Constructions. UAI 2000: 353-362
16		Haiqin Wang, Marek J. Druzdzel: User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks. UAI 2000: 617-625
15		Jian Cheng, Marek J. Druzdzel: Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks. UAI 2000: 72-81
14		Marek J. Druzdzel, Linda C. van der Gaag: Building Probabilistic Networks: "Where Do the Numbers Come From?" Guest Editors Introduction. IEEE Trans. Knowl. Data Eng. 12(4): 481-486 (2000)
13		Jian Cheng, Marek J. Druzdzel: AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks. J. Artif. Intell. Res. (JAIR) 13: 155-188 (2000)
	1999
12		Marek J. Druzdzel: SMILE: Structural Modeling, Inference, and Learning Engine and GeNIE: A Development Environment for Graphical Decision-Theoretic Models. AAAI/IAAI 1999: 902-903
11		Denver Dash, Marek J. Druzdzel: A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data. UAI 1999: 142-149
10		Yan Lin, Marek J. Druzdzel: Relevance-Based Incremental Belief Updating in Bayesian Networks. IJPRAI 13(2): 285-295 (1999)
	1998
9		Yan Lin, Marek J. Druzdzel: Relevance-Based Sequential Evidence Processing in Bayesian Networks. FLAIRS Conference 1998: 446-450
	1997
8		Yan Lin, Marek J. Druzdzel: Computational Advantages of Relevance Reasoning in Bayesian Belief Networks. UAI 1997: 342-350
7		Marek J. Druzdzel: Five Useful Properties of Probabilistic Knowledge Representations From the Point of View of Intelligent Systems. Fundam. Inform. 30(3/4): 241-254 (1997)
	1995
6		Marek J. Druzdzel, Linda C. van der Gaag: Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. UAI 1995: 141-148
	1994
5		Marek J. Druzdzel: Some Properties of joint Probability Distributions. UAI 1994: 187-194
	1993
4		Marek J. Druzdzel, Max Henrion: Efficient Reasoning in Qualitative Probabilistic Networks. AAAI 1993: 548-553
3		Marek J. Druzdzel, Herbert A. Simon: Causality in Bayesian Belief Networks. UAI 1993: 3-11
2		Marek J. Druzdzel, Max Henrion: Intercausal Reasoning with Uninstantiated Ancestor Nodes. UAI 1993: 317-325
	1990
1		Max Henrion, Marek J. Druzdzel: Qualtitative propagation and scenario-based scheme for exploiting probabilistic reasoning. UAI 1990: 17-32

Coauthor Index

1	John Mark Agosta	[56]
2	Russell Almond	[56]
3	Michael L. Anderson	[34]
4	Thomas Barkowsky	[34]
5	Pauline M. Berry (Pauline Berry)	[34]
6	Douglas S. Blank	[34]
7	Dennis M. Buede	[56]
8	Jian Cheng	[13] [15] [18] [21] [59]
9	Timothy Chklovski	[34]
10	Denver Dash	[11] [22] [24] [26] [31] [51] [57] [58] [60]
11	Francisco Javier Díez	[29]
12	Pedro Domingos	[34]
13	Christian Freksa	[34]
14	Linda C. van der Gaag	[6] [14]
15	John Gersh	[34]
16	Judy Goldsmith	[56]
17	Mary Hegarty	[34]
18	Max Henrion	[1] [2] [4]
19	Martinus de Jongh	[48]
20	Hans Van Leijen	[19]
21	Tze-Yun Leong	[17] [34] [36] [37]
22	Henry Lieberman	[34]
23	Yan Lin	[8] [9] [10]
24	Ric K. Lowe	[34]
25	Tsai-Ching Lu	[17] [23] [27] [32] [38] [53]
26	Peter J. F. Lucas	[25]
27	Susann Luperfoy	[34]
28	Lisa Meeden	[34]
29	Rada Mihalcea	[34]
30	David P. Miller	[34]
31	Tim Oates	[34]
32	Agnieszka Onisko	[20] [25] [28]
33	Robert L. Popp	[34]
34	Parot Ratnapinda	[54]
35	Silja Renooij	[56]
36	Léon J. M. Rothkrantz	[48]
37	Nathan Schurr	[34]
38	Daniel G. Shapiro	[34]
39	Herbert A. Simon	[3]
40	Push Singh	[34]
41	Xiaoxun Sun	[42] [47]
42	Mark Voortman	[43] [52] [57] [58] [60]
43	Haiqin Wang	[16] [22] [26]
44	Hanna Wasyluk	[20] [28]
45	John Yen	[34]
46	Changhe Yuan	[30] [32] [35] [39] [41] [42] [45] [46] [47] [49] [50]
47	Adam Zagorecki	[33] [40] [43] [44]

Colors in the list of coauthors

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