-
1
-
-
85076893888
-
Klee: Unassisted and automatic generation of high-coverage tests for complex systems programs
-
Cadar, C., Dunbar, D., and Engler, D. R. (2008). Klee: Unassisted and automatic generation of high-coverage tests for complex systems programs. In Operating Systems Design and Implementation (OSDI), pages 209-224.
-
(2008)
Operating Systems Design and Implementation (OSDI
, pp. 209-224
-
-
Cadar, C.1
Dunbar, D.2
Engler, D.R.3
-
4
-
-
0001178202
-
A language and program for complex Bayesian modelling
-
Gilks, W. R., Thomas, A., and Spiegelhalter, D. J. (1994). A language and program for complex Bayesian modelling. The Statistician, 43(1): 169-177.
-
(1994)
The Statistician
, vol.43
, Issue.1
, pp. 169-177
-
-
Gilks, W.R.1
Thomas, A.2
Spiegelhalter, D.J.3
-
5
-
-
33745254726
-
DART: Directed automated random testing
-
Godefroid, P., Klarlund, N., and Sen, K. (2005). DART: Directed Automated Random Testing. In Programming Language Design and Implementation (PLDI), pages 213-223.
-
(2005)
Programming Language Design and Implementation (PLDI
, pp. 213-223
-
-
Godefroid, P.1
Klarlund, N.2
Sen, K.3
-
6
-
-
84857600799
-
Sage: Whitebox fuzzing for security testing
-
Godefroid, P., Levin, M. Y., and Molnar, D. A. (2012). Sage: Whitebox fuzzing for security testing. Com- mun. ACM, 55(3): 40-44.
-
(2012)
Com- mun. ACM
, vol.55
, Issue.3
, pp. 40-44
-
-
Godefroid, P.1
Levin, M.Y.2
Molnar, D.A.3
-
7
-
-
70049098573
-
Church: A language for generative models
-
Goodman, N. D., Mansinghka, V. K., Roy, D. M., Bonawitz, K., and Tenenbaum, J. B. (2008). Church: A language for generative models. In Un- certainty in Artificial Intelligence (UAI), pages 220-229.
-
(2008)
Un- certainty in Artificial Intelligence (UAI
, pp. 220-229
-
-
Goodman, N.D.1
Mansinghka, V.K.2
Roy, D.M.3
Bonawitz, K.4
Tenenbaum, J.B.5
-
8
-
-
84874142883
-
A model-learner pattern for Bayesian reasoning
-
Gordon, A. D., Aizatulin, M., Johannes Borgstroem, G. C., Graepel, T., Nori, A. V., Rajamani, S. K., and Russo, C. (2013). A model-learner pattern for bayesian reasoning. In Principles of Programming Languages (POPL).
-
(2013)
Principles of Programming Languages (POPL
-
-
Gordon, A.D.1
Aizatulin, M.2
Johannes Borgstroem, G.C.3
Graepel, T.4
Nori, A.V.5
Rajamani, S.K.6
Russo, C.7
-
9
-
-
80053143477
-
Monolingual probabilistic programming using generalized coroutines
-
Kiselyov, O. and Shan, C. (2009). Monolingual probabilistic programming using generalized coroutines. In Uncertainty in Artificial Intelligence (UAI), pages 285-292.
-
(2009)
Uncertainty in Artificial Intelligence (UAI
, pp. 285-292
-
-
Kiselyov, O.1
Shan, C.2
-
10
-
-
33749545442
-
-
Technical report, University of Washington
-
Kok, S., Sumner, M., Richardson, M., Singla, P., Poon, H., Lowd, D., and Domingos, P. (2007). The Alchemy system for Statistical Relational AI. Technical report, University of Washington.
-
(2007)
The Alchemy system for Statistical Relational AI.
-
-
Kok, S.1
Sumner, M.2
Richardson, M.3
Singla, P.4
Poon, H.5
Lowd, D.6
Domingos, P.7
-
11
-
-
0031349265
-
Effective Bayesian inference for stochastic programs
-
Koller, D., McAllester, D. A., and Pfeffer, A. (1997). Effective Bayesian inference for stochastic programs. In National Conference on Artificial Intelligence (AAAI), pages 740-747.
-
(1997)
National Conference on Artificial Intelligence (AAAI
, pp. 740-747
-
-
Koller, D.1
McAllester, D.A.2
Pfeffer, A.3
-
13
-
-
84954303498
-
-
Minka, T., Winn, J., Guiver, J., and Kannan, A. (2009). Infer.NET 2.3.
-
(2009)
Infer.NET
, vol.2
, Issue.3
-
-
Minka, T.1
Winn, J.2
Guiver, J.3
Kannan, A.4
-
14
-
-
36348972377
-
The design and implementation of IBAL: A general-purpose probabilistic language
-
Pfeffer, A. (2007a). The design and implementation of IBAL: A general-purpose probabilistic language. In Statistical Relational Learning, pages 399-432.
-
(2007)
Statistical Relational Learning
, pp. 399-432
-
-
Pfeffer, A.1
-
16
-
-
85162505566
-
Nonstandard interpretations of probabilistic programs for efficient inference
-
Wingate, D., Goodman, N. D., Stuhlmüller, A., and Siskind, J. M. (2011). Nonstandard interpretations of probabilistic programs for efficient inference. In Neural Information Processing Systems (NIPS), pages 1152-1160.
-
(2011)
Neural Information Processing Systems (NIPS
, pp. 1152-1160
-
-
Wingate, D.1
Goodman, N.D.2
Stuhlmüller, A.3
Siskind, J.M.4
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