2010

I. Rish,
G. Cecchi,
M.N. Baliki,
V. Apkarian.
Sparse Regression Models of Pain Perception, in Proceedings of Brain Informatics (BI10) conference,
Toronto, Canada,
August 2010.
 K. Scheinberg, I. Rish.Learning Sparse Gaussian Markov Networks using a Greedy Coordinate Ascent Approach, in Proceedings of ECML 2010, Barcelona, Spain,
September 2010.

K. Scheinberg,
I. Rish,
N. Bani Asadi.Sparse Markov Net Learning with Priors on Regularization Parameters, in Proceedings of ISAIM 2010,
Fort Lauderdale, FL, January 2010.
2009
Journals:
Conferences and Workshops:

G. Cecchi,
I. Rish,
B. Thyreau,
B. Thirion,
M. Plaze,
MLPaillereMartinot,
C.Martelli,
JLMartinot,
JBPoline.
Discriminiative Network Models of Schizophrenia (supplemental material can be found here) in Proceedings of NIPS 2009,
Vancouver, BC, Canada,
December 2009.
 I. Rish, G. Grabarnik.Sparse Signal Recovery with ExponentialFamily Noise, in Proceedings of Allerton 2009,
Monticello, IL,
September 2009.
 N. Bani Asadi, I. Rish, K. Scheinberg, D. Kanevsky, B. Ramabhadran. A MAP Approach to Learning Sparse Gaussian Markov Networks, in Proceedings of ICASSP 2009,
Taipei, Taiwan,
April 2009.
 N. Bani Asadi, I. Rish, K. Scheinberg.
Selecting regularization parameter in sparse MRF learning, invited paper/talk at Information Theory and Applications (ITA) Workshop, San Diego, Feb 2009.
Technical Reports/Preprints:
2008
Conferences and Workshops:
 I. Rish,
G. Grabarnik, G. Cecchi, F. Pereira, G. Gordon. Closedform Supervised Dimensionality Reduction with Generalized Linear Models, in Proceedings of ICML 2008,
Helsinki, Finland,
July 2008.
 I. Rish and
G. Chandalia. Learning hidden factor models for network tomography, invited paper/talk at Information Theory and Applications (ITA) Workshop, San Diego, Feb 2008.
2007
Conferences and Workshops:
 G. Chandalia and
I. Rish. Blind Source Separation Approach to Performance Diagnosis and Dependency Discovery, in Proceedings of IMC2007,
San Diego, CA,
October 2007.
 I. Rish and
G. Tesauro. Estimating EndtoEnd Performance by Collaborative Prediction with Active Sampling, in Proceedings of IM2007,
Munich, Germany,
May 2007.
 A. Beygelzimer, J. Kephart and I. Rish. Evaluation of Optimization Methods for Network Bottleneck Diagnosis, in ICAC 2007.
 I. Rish and
G. Tesauro. Active Collaborative Prediction with Maximum Margin Matrix Factorization, invited paper/talk at Information Theory and Applications (ITA) Workshop, San Diego, Feb 2007.
2006
Conferences and Workshops:
 A. Jakulin and
I. Rish. Bayesian Learning of Markov Network Structure, in Proceedings of ECML2006,
Berlin, Germany,
September 2006.
 A. Beygelzimer,
M. Brodie, J. Lenchner, I.
Rish, Automated Knowledge Elicitation and Flowchart Optimization for Problem Diagnosis, in UAI06 Workshop on Applications of Bayesian Networks.
 I.
Rish, Informationtheoretic approaches to costefficient diagnosis, invited paper/talk at Information Theory and Applications (ITA) Inaugural Workshop, San Diego, Feb 2006.
 I.
Rish, Active Sampling Approaches in Systems Management Applications, SysML Workshop at SIGMETRICS06.
2005
Journals:
 I. Rish, M. Brodie,
S. Ma, N. Odintsova, A. Beygelzimer,
G. Grabarnik, K. Hernandez. Adaptive Diagnosis in Distributed Systems, in
IEEE Transactions on Neural Networks (special issue on Adaptive
Learning Systems in Communication Networks), vol. 16, no. 5, pp. 10881109,
September 2005.
 A. Beygelzimer, R. Linsker,
G. Grinstein, I. Rish. Improving Network Robustness by Edge
Modification, Physica A, Vol: 357, No: 34, pp. 593612, November 2005.
Conferences:
 I. Rish, Distributed Systems Diagnosis Using
Belief Propagation, to appear in Proc. of the 43d
Annual Allerton Conference on Communication,
Control and Computing,
2005.
 A. Zheng. I. Rish,
A. Beygelzimer.
Efficient Test Selection in Active Diagnosis
via Entropy Approximation, in Proceedings of UAI2005.
 N.
Odintsova, I. Rish, S. Ma. Multifault Diagnosis in Dynamic Systems, in Proceedings of IM 2005. Extended
version appeared as IBM Technical Report RC23385, 2004.
 A. Beygelzimer, M. Brodie,
S. Ma, I. Rish. Testbased Diagnosis: Tree and Matrix
Representations, in Proceedings of IM
2005.
 E.
Erdogan, S. Ma, A. Beygelzimer, I. Rish. Statistical Models for Unequally Spaced
Time Series,
in Proceedings
of SIAM DM 2005.
Technical Reports:
 A. Jakulin, I. Rish.
KikuchiBayes: Markov Networks for Classification, IBM Technical Report RC23602.
 N. Odintsova and I. Rish. Fault Diagnois in
Scalefree versus Random Networks, IBM
Technical Report RC23599.
 M.
Brodie, J. Lenchner,
S. Ma, I. Rish. Flowchart Learning and Optimization for Problem
Diagnosis, IBM Technical Report RC23574.
 S.
Guo, I. Rish, D.
Loewenstern, Selfhealing
in largescale systems: parallel and distributed diagnostic architectures, IBM Technical Report.
2004
Conferences:
 I. Rish,
M. Brodie, N. Odintsova,
S. Ma, G. Grabarnik. Realtime Problem Determination in Distributed Systems
using Active Probing, in Proceedings of NOMS2004,
Seoul, Korea,
April 2004.
 1. A. Beygelzimer,
G. Grinstein, R. Linsker, I.
Rish, Improving
Network Robustness, in Proceedings of ICAC04.
Technical reports:
 A. Jakulin,
I. Rish, I.
Bratko, KikuchiBayes:
Factorized Models for Approximate Classification in Closed Form, IBM Technical
Report RC23314, 2004.
 A. X. Zheng,
I. Rish, A. Beygelzimer, Entropy Approximation for Active Fault
Diagnosis, IBM Technical
Report RC23441, 2004.
 M. Brodie, J. Lenchner,
S. Ma, I. Rish. Flowchart Learning and Optimization for Problem
Diagnosis, IBM Technical Report RC23574.
 N.
Odintsova, I. Rish, S. Ma. Multifault Diagnosis in Dynamic Systems, IBM Technical Report RC23385.
2003
Journals:
Conferences:
 R. Vilalta
and I. Rish (2003). A Decomposition Of Classes Via Clustering
To Explain And Improve Naive Bayes, in Proceedings of 14th European Conference on
Machine Learning (ECML/PKDD
2003). Best paper award.
 M. Brodie, I. Rish, S. Ma, N. Odintsova
(2003). Active Probing
Strategies for Problem Diagnosis in Distributed Systems, in
Proceedings of IJCAI03, Acapulco,
Mexico.
 R. K. Sahoo, A. J. Oliner, I. Rish, M.
Gupta, J.E. Moreira, S. Ma, R. Vilalta, A. Sivasubramaniam (2003). Critical Event Prediction for Proactive
Management in Largescale Computer Clusters,
in Proceedings of KDD2003 (Industrial Track).
 A. Beygelzimer
and I. Rish (2003). Approximability of
Probability Distributions, to Proceedings of NIPS2003.
Workshops:
 R.K. Sahoo,
I. Rish, A.J. Oliner,
M. Gupta, J.E. Moreira, S. Ma, R. Vilalta and A. Sivasubramaniam.
Autonomic Computing Features for
Largescale Server Management and Control, in
the IJCAI03
workshop on AI and Autonomic Computing, August 2003, Acapulco,
Mexico.
 I. Rish,
M. Brodie, N. Odintsova,
S. Ma, G. Grabarnik. Problem Diagnosis
in Distributed Systems using Active Probing, in the UAI2003
workshop on Bayesian Modeling Applications, August 2003, Acapulco,
Mexico.
Technical reports:
 M. Brodie,
I. Rish, S. Ma, G. Grabarnik,
N. Odintsova (2002). Active Probing. IBM Technical Report
RC22817.
2002
Journals:
Conferences:
 Rish,
I., Brodie, M, and Ma, S. (2002). Accuracy vs. Efficiency Tradeoffs in
Probabilistic Diagnosis, in Proceedings of AAAI2002, Edmonton,
Alberta, Canada,
August 2002.
 Beygelzimer,
A. and Rish, I.
(2002). Inference complexity as a
modelselection criterion for learning Bayesian networks, in
Proceedings of the Eighth
International Conference on Principles of Knowledge Representation
and Reasoning (KR2002), Toulouse,
France.
Workshops and symposiums:
 I.Rish,
M. Brodie, S. Ma, G. Grabarnik,
N. Odintsova (2002). Using Adaptive Probing for RealTime Problem
Diagnosis in Distributed Computer Systems, in
the AAAI02 workshop on RealTime Decision Support and Diagnosis
Systems, Edmonton, Alberta,
Canada.
 Rish,
I., Brodie, M, and Ma, S. (2002). Efficient fault diagnosis using probing,
in Proceedings of 2002 AAAI Spring
Symposium on "Information Refinement and Revision for Decision
Making: Modeling for Diagnostics, Prognostics, and Prediction",
Stanford, Palo Alto, March 2527, 2002.
 Wang, H., Rish, I., and Ma, S. (2002). Using Sensitivity Analysis for Selective
Parameter Update in Bayesian Network
Learning, in Proceedings of 2002 AAAI Spring
Symposium on "Information Refinement and Revision for Decision
Making: Modeling for Diagnostics, Prognostics, and Prediction",
Stanford, Palo Alto, March 2527, 2002.
Technical reports:
2001
 Brodie,
M., Rish, I. and Ma, S. (2001). Optimizing Probe Selection for Fault Localization,
in Proceedings of DSOM01.
 Vilalta,
R., Brodie,
M., Oblinger, D., and Rish, I. (2001). A unified framework for evaluation metrics in
classification using decision trees, in Proceedings of ECML01
pp. 503514.
 Rish, I.,
(2001). An empirical study of the naive Bayes classifier, in
IJCAI01
workshop on "Empirical Methods
in AI". Also appeared as IBM Technical Report RC22230.
Technical reports:
 Rish,
I., Brodie, M., Wang, H., and Ma, S.
(2001). Efficient fault diagnosis using
local inference, IBM Technical Report RC22229.
 Rish,
I., Hellerstein, J., and Jayram, T.S. (2001). An
analysis of data characteristics that affect naive Bayes
performance. IBM Technical Report RC21993.
2000
 Rish,
I. and Dechter, R.(2000). Resolution versus search; Two
strategies for SAT. Journal of Automated Reasoning, 24(1/2),
pp.225275.
 Hellerstein,
J., Jayram, T.S., and Rish,
I. (2000). Recognizing enduser transactions
in performance management. Proceedings of AAAI2000, pp.
596602. Austin, Texas.
 Rish,
I.(2000). Advances in Bayesian Learning.
Proceedings of the 2000 International Conference on Artificial
Intelligence (ICAI'2000). Las Vegas.
1999
1998
 Rish,
I., Kask, K., and Dechter,
R.(1998). Empirical Evaluation of
Approximation Algorithms for Probabilistic Decoding. Proceedings
of UAI98, Madison, Wisconsin.
 Rish,
I. and Dechter, R.(1998). On the impact of causal independence
, 1998 Stanford Spring Symposium on Interactive and
MixedInitiative DecisionTheoretic Systems. (Extended version available
as a technical report ).
1997
 Rish,
I. and Frost, D. (1997). Statistical Analysis
of Backtracking on Inconsistent CSPs, in Proceedings of CP97, Austria.
 Dechter,
R. and Rish, I. (1997). A scheme for approximating probabilistic inference,
in Proceedings of UAI97, Providence, Rhode Island.
 Frost, D., Rish, I. and Vila,
L. (1997). Summarizing CSP hardness with
continuous probability distributions,
in Proceedings of AAAI97, pp. 327333.
199496
 Rish,
I. and Dechter, R. (1996). To Guess or to Think? Hybrid Algorithms for SAT
(ext. abstract). In Proceedings of PPCP96. Cambridge, Massachusetts.
(Full version is also available).
 Rish,
I. and Dechter, R. (1996). Variable Independence in Markov Decision
Problems. In Proceedings of AAAI96 Workshop on
Structural Issues in Planning and Temporal Reasoning. Portland,
Oregon.
 Dechter,
R. and Rish, I.(1994). Directional Resolution: The DavisPutnam
Procedure, Revisited. In Proceedings of KR94.
 R. Dechter and I. Rish. Empirical Evaluation
of Two Versions of the DavisPutnam Algorithm. In Proceedings of
AAAI94 Workshop on Experimental Evaluation of Reasoning and Search
Methods, Seattle, Washington, 1994.
Tutorials and presentations
2001
2000
 I. Rish,
Advances in Bayesian Learning, a
short tutorial presented at ICAI'2000, Las Vegas,
June 2000.
 I. Rish
and M. Singh, Inference and Learning in Bayesian Networks,
tutorial presented at IBM Watson
Research Center,
August 2000.
 I. Rish
and R. Dechter, Approximation Techniques for
Automated Inference, AAAI2000 tutorial, Austin,TX, 2000.
1998

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