Bozhena Bidyuk and Rina Dechter. "An Anytime Scheme for Bounding Posterior Beliefs". ICS Technical Report (Submitted), March 2008.

Vibhav Gogate, Bozhena Bidyuk and Rina Dechter. "Studies in Lower Bounding Probability of Evidence using the Markov Inequality". In UAI'07.

Bozhena Bidyuk and Rina Dechter. "Cutset Sampling for Bayesian Networks". In JAIR, 2006.

Bozhena Bidyuk and Rina Dechter. "Cutset Sampling with Likelihood Weighting". In UAI'06.

Bozhena Bidyuk and Rina Dechter. "Improving Bound Propagation". In ECAI'06.

Bozhena Bidyuk and Rina Dechter. "An Anytime Scheme for Bounding Posterior Beliefs". In AAAI'06.

Vibhav Gogate, Rina Dechter, Bozhena Bidyuk, Craig Rindt and James Marca. "Modeling Transportation Routines using Hybrid Dynamic Mixed Networks". In UAI 2005.

Bozhena Bidyuk. "Approximation Algorithms for Probabilistic Reasoning: Sampling and Iterative Inference". Ph.D. Proposal, May 2004.

Bozhena Bidyuk and Rina Dechter. "On finding minimal w-cutset problem". In UAI 2004.

Bozhena Bidyuk, and Rina Dechter. "An Empirical Study of w-Cutset Sampling for Bayesian Networks". In UAI 2003.

Bozhena Bidyuk, and Rina Dechter. "Cycle-Cutset sampling for Bayesian Networks", In The Canadian AI Conference, June 2003.


Bozhena Bidyuk, Rina Dechter, "The Epsilon-cutset Effect in Bayesian Networks", An ICS Technical Report, July, 2001.


Ph.D. Thesis:

Bozhena Bidyuk. "Exploiting Graph Cutsets for Sampling-Based Approximations in Bayesian Networks". Ph.D. Thesis, 2006