Moisés Goldszmidt

According to our database, Moisés Goldszmidt authored at least 59 papers between 1989 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

Active Learning with Expected Error Reduction.

Stephen Mussmann, Julia Reisler, Daniel Tsai, Ehsan Mousavi, Shayne O'Brien, Moisés Goldszmidt

CoRR, 2022

2016

Equality and Social Mobility in Twitter Discussion Groups.

Katherine Ellis, Moisés Goldszmidt, Gert R. G. Lanckriet, Nina Mishra, Omer Reingold

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2015

Navigation made personal: inferring driving preferences from GPS traces.

Daniel Delling, Andrew V. Goldberg, Moisés Goldszmidt, John Krumm, Kunal Talwar, Renato F. Werneck

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

2014

Star-Cap: Cluster Power Management Using Software-Only Models.

John D. Davis, Suzanne Rivoire, Moisés Goldszmidt

Proceedings of the 43rd International Conference on Parallel Processing Workshops, 2014

2013

Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (2000)

Craig Boutilier, Moisés Goldszmidt

CoRR, 2013

Boot-Strapping Language Identifiers for Short Colloquial Postings.

Moisés Goldszmidt, Marc Najork, Stelios Paparizos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Scalable similarity estimation in social networks: closeness, node labels, and random edge lengths.

Edith Cohen, Daniel Delling, Fabian Fuchs, Andrew V. Goldberg, Moisés Goldszmidt, Renato F. Werneck

Proceedings of the Conference on Online Social Networks, 2013

Early security classification of skype users via machine learning.

Anna Leontjeva, Moisés Goldszmidt, Yinglian Xie, Fang Yu, Martín Abadi

Proceedings of the AISec'13, 2013

2012

CHAOS: Composable Highly Accurate OS-based power models.

John D. Davis, Suzanne Rivoire, Moisés Goldszmidt, Ehsan K. Ardestani

Proceedings of the 2012 IEEE International Symposium on Workload Characterization, 2012

Finding Soon-to-Fail Disks in a Haystack.

Moisés Goldszmidt

Proceedings of the 4th USENIX Workshop on Hot Topics in Storage and File Systems, 2012

2011

More Intervention Now!

Moisés Goldszmidt, Rebecca Isaacs

Proceedings of the 13th Workshop on Hot Topics in Operating Systems, 2011

2010

Toward automatic policy refinement in repair services for large distributed systems.

Moisés Goldszmidt, Mihai Budiu, Yue Zhang, Michael Pechuk

ACM SIGOPS Oper. Syst. Rev., 2010

Scalable and systematic detection of buggy inconsistencies in source code.

Mark Gabel, Junfeng Yang, Yuan Yu, Moisés Goldszmidt, Zhendong Su

Proceedings of the 25th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2010

Fingerprinting the datacenter: automated classification of performance crises.

Peter Bodík, Moisés Goldszmidt, Armando Fox, Dawn B. Woodard, Hans Andersen

Proceedings of the European Conference on Computer Systems, 2010

2009

Wheels within Wheels: Making Fault Management Cost-Effective.

Moisés Goldszmidt, Miroslaw Malek, Simin Nadjm-Tehrani, Priya Narasimhan, Felix Salfner, Paul A. S. Ward, John Wilkes

Proceedings of the Self-Healing and Self-Adaptive Systems, 10.05. - 15.05.2009, 2009

2008

CT-NOR: Representing and Reasoning About Events in Continuous Time.

Aleksandr Simma, Moisés Goldszmidt, John MacCormick, Paul Barham, Richard Black, Rebecca Isaacs, Richard Mortier

Proceedings of the UAI 2008, 2008

Hunting for Problems with Artemis.

Gabriela F. Cretu-Ciocarlie, Mihai Budiu, Moisés Goldszmidt

Proceedings of the First USENIX Workshop on the Analysis of System Logs, 2008

HiLighter: Automatically Building Robust Signatures of Performance Behavior for Small- and Large-Scale Systems.

Peter Bodík, Moisés Goldszmidt, Armando Fox

Proceedings of the Third Workshop on Tackling Computer Systems Problems with Machine Learning Techniques, 2008

2007

Making life better one large system at a time: Challenges for UAI research.

Moisés Goldszmidt

Proceedings of the UAI 2007, 2007

How dynamic are IP addresses?

Yinglian Xie, Fang Yu, Kannan Achan, Eliot Gillum, Moisés Goldszmidt, Ted Wobber

Proceedings of the ACM SIGCOMM 2007 Conference on Applications, 2007

2006

Mining web logs to debug distant connectivity problems.

Emre Kiciman, David A. Maltz, Moisés Goldszmidt, John C. Platt

Proceedings of the 2nd Annual ACM Workshop on Mining Network Data, 2006

Discovering Dependencies for Network Management.

Paramvir Bahl, Paul Barham, Richard Black, Ranveer Chandra, Moisés Goldszmidt, Rebecca Isaacs, Srikanth Kandula, Lun Li, John MacCormick, David A. Maltz, Richard Mortier, Mike Wawrzoniak, Ming Zhang

Proceedings of the 5th ACM Workshop on Hot Topics in Networks, 2006

2005

Capturing, indexing, clustering, and retrieving system history.

Ira Cohen, Steve Zhang, Moisés Goldszmidt, Julie Symons, Terence Kelly, Armando Fox

Proceedings of the 20th ACM Symposium on Operating Systems Principles 2005, 2005

Short term performance forecasting in enterprise systems.

Rob Powers, Moisés Goldszmidt, Ira Cohen

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Three Research Challenges at the Intersection of Machine Learning, Statistical Induction, and Systems.

Moisés Goldszmidt, Ira Cohen, Armando Fox, Steve Zhang

Proceedings of HotOS'05: 10th Workshop on Hot Topics in Operating Systems, 2005

Ensembles of Models for Automated Diagnosis of System Performance Problems.

Steve Zhang, Ira Cohen, Moisés Goldszmidt, Julie Symons, Armando Fox

Proceedings of the 2005 International Conference on Dependable Systems and Networks (DSN 2005), 28 June, 2005

2004

Properties and Benefits of Calibrated Classifiers.

Ira Cohen, Moisés Goldszmidt

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control.

Ira Cohen, Jeffrey S. Chase, Moisés Goldszmidt, Terence Kelly, Julie Symons

Proceedings of the 6th Symposium on Operating System Design and Implementation (OSDI 2004), 2004

2001

On the quantification of e-business capacity.

Moisés Goldszmidt, Derek Palma, Bikash Sabata

Proceedings of the Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), 2001

2000

Stochastic dynamic programming with factored representations.

Craig Boutilier, Richard Dearden, Moisés Goldszmidt

Artif. Intell., 2000

1999

Data Analysis with Bayesian Networks: A Bootstrap Approach.

Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Continuous Value Function Approximation for Sequential Bidding Policies.

Craig Boutilier, Moisés Goldszmidt, Bikash Sabata

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Sequential Auctions for the Allocation of Resources with Complementarities.

Craig Boutilier, Moisés Goldszmidt, Bikash Sabata

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Resource Allocation Using Sequential Auctions.

Craig Boutilier, Moisés Goldszmidt, Claire Monteleoni, Bikash Sabata

Proceedings of the Agent Mediated Electronic Commerce II, 1999

On the application of the bootstrap for computing confidence measures on features of induced Bayesian networks.

Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting.

Nir Friedman, Moisés Goldszmidt, Thomas J. Lee

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Learning Bayesian Networks with Local Structure.

Nir Friedman, Moisés Goldszmidt

Proceedings of the Learning in Graphical Models, 1998

1997

Bayesian Network Classifiers.

Nir Friedman, Dan Geiger, Moisés Goldszmidt

Mach. Learn., 1997

The Sixth International Workshop on Nonmonotonic Reasoning (Workshop Report)..

Moisés Goldszmidt, Vladimir Lifschitz

AI Mag., 1997

Sequential Update of Bayesian Network Structure.

Nir Friedman, Moisés Goldszmidt

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Challenge: What is the Impact of Bayesian Networks on Learning?

Nir Friedman, Moisés Goldszmidt, David Heckerman, Stuart Russell

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996

Learning Bayesian Networks with Local Structure.

Nir Friedman, Moisés Goldszmidt

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Context-Specific Independence in Bayesian Networks.

Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Discretizing Continuous Attributes While Learning Bayesian Networks.

Nir Friedman, Moisés Goldszmidt

Proceedings of the Machine Learning, 1996

The Frame Problem and Bayesian Network Action Representation.

Craig Boutilier, Moisés Goldszmidt

Proceedings of the Advances in Artificial Intelligence, 1996

Building Classifiers Using Bayesian Networks.

Nir Friedman, Moisés Goldszmidt

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Fast Belief Update Using Order-of-Magnitude Probabilities.

Moisés Goldszmidt

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Exploiting Structure in Policy Construction.

Craig Boutilier, Richard Dearden, Moisés Goldszmidt

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994

Hedges, Background Knowledge, and Evidence: A Reply to Kyburg's" Believing on the Basis of the Evidence".

Moisés Goldszmidt

Comput. Intell., 1994

Research Issues in Qualitative and Abstract Probability.

Moisés Goldszmidt

AI Mag., 1994

On the Relation between Kappa Calculus and Probabilistic Reasoning.

Adnan Darwiche, Moisés Goldszmidt

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Action Networks: A Framework for Reasoning about Actions and Change under Uncertainty.

Adnan Darwiche, Moisés Goldszmidt

Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

1993

A Maximum Entropy Approach to Nonmonotonic Reasoning.

Moisés Goldszmidt, Paul H. Morris, Judea Pearl

IEEE Trans. Pattern Anal. Mach. Intell., 1993

Revision by Conditional Beliefs.

Craig Boutilier, Moisés Goldszmidt

Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

1992

On the Consistency of Defeasible Databases.

Moisés Goldszmidt, Judea Pearl

Artif. Intell., 1992

Reasoning with Qualitative Probabilities Can Be Tractable.

Moisés Goldszmidt, Judea Pearl

Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

Rank-based Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions.

Moisés Goldszmidt, Judea Pearl

Proceedings of the 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR'92). Cambridge, 1992

1991

System-Z+: A Formalism for Reasoning with Variable-Strength Defaults.

Moisés Goldszmidt, Judea Pearl

Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1989

Deciding Consistency of Databases Containing Defeasible and Strict Information.

Moisés Goldszmidt, Judea Pearl

Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989