Gideon S. Mann 

Bloomberg, CTO Office.
731 Lexington Ave. New York, NY 10022


Biographical Sketch

  • Sc.B., Brown University,  1999. 
  • Ph.D., Johns Hopkins University, 2006.
  • Post-doc at University of Massachusetts Amherst, 2005-2007.
  • Research Scientist, Google NYC, 2007 - 2014.


  • Informal Semantics
  • Weakly-Supervised Learning
  • Large Scale Machine Learning
Data for Good Exchange 
The Shift Commission on Work Workers and Technology
Past Projects: coLaboratory Prediction API


Publications: On Scholar 

  • "Hiring algorithms are not neutral" Gideon Mann, Cathy O'Neill (Harvard Business Review)
  • "It's Time To Recognize Machines are Learning all the wrong things" (Fast Company)
  • "Twitter as a Source of Global Mobility Patterns for Social Good", Mark Dredze, Manuel Garcia-Herranz, Alex Rutherford, Gideon Mann , ICML Machine Learning in Social Good Applications (arxiv)
  • "How Twitter is Changing the Nature of Financial News Discovery", Mark Dredze, Prabhanjan Kambadur, Gary Kazantsev, Gideon Mann, Miles Osborne.  SIGMOD Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets. (pdf)
  • "Differential Profiling for Asynchronous Distributed Systems", Gideon Mann, Krzysztof Ostrowski, Mark Sandler. Tech Report.
  • "Efficient Transfer Learning Method for Automatic Hyperparameter Tuning", Dani Yogatama, Gideon Mann. AISTATS. [pdf]
  • "Restricted Transfer Learning for Text Categorization", Rajhans Samdani, Gideon Mann. NIPS Workshop. [pdf]
  • "Diagnosing Latency in Multi-Tier Black-Box Systems", Krzystof Ostrowski, Gideon Mann, Mark Sandler. LADIS. [pdf]
  • "Modeling the Parallel Execution of Black-Box Services", Gideon Mann, Mark Sandler, Darja Krushevskaja, Sudipto Guha, Eyal Even-dar. USENIX/HotCloud.  [pdf]
  • "Distributed Training Strategies for the Structured Perceptron", Ryan McDonald, Keith Hall, Gideon Mann. HLT-NAACL.  [pdf]
  • "Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data", Gideon Mann, Andrew McCallum. JMLR. [pdf]
  • "MapReduce/Bigtable for Distributed Optimization", Keith Hall, Scott Gilpin, Gideon Mann. NIPS Workshop/LCCC. [pdf] [ppt]
  • "Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models". Gideon Mann, Ryan McDonald, Mehryar Mohri, Nathan Silberman, Daniel Walker. NIPS. [pdf][poster pdf]
  • "Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria". Greg Druck, Gideon S. Mann, Andrew McCallum. ACL-IJCNLP [pdf]
  • "YouTube Scale, Large Vocabulary Video Annotation", Nicholas Morsillo, Gideon Mann, Chris Pal. in "Video Search and Mining" eds. [pdf]
  • "Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields". Gideon S. Mann, Andrew McCallum. ACL [pdf]
  • "Learning to Classify from Labeled Features".  Gregory Druck, Gideon S. Mann, Andrew McCallum.  SIGIR [pdf]
  • "Simple, Robust, Scalable Semi-supervised Learning via Expectation Regularization". Gideon S. Mann, Andrew McCallum. ICML. [pdf]
  • "Multi-Document Relationship Fusion via Constraints on Probabilistic Databases". Gideon S. Mann.  HLT/NAACL. [pdf]
  • "Efficient Computation of Entropy Gradient for Semi-Supervised Conditional Random Fields". Gideon S. Mann, Andrew McCallum.  HLT/NAACL (short). [pdf]
  •  "Penn/UMass/CHOP BiocreativeII Systems". Kuzman Ganchez, Koby Crammer, Fernando Pereira, Gideon Mann, Kedar Bellare, Andrew McCallum, Steven Carroll, Yang Jin, and Peter White.  BiocreativeII Evaluation Workshop. [pdf]
  • "Putting Semantic Information Extraction on the Map". Chris Pal, Gideon S. Mann, Richard Minerich,  AAAI Workshop on Information Integration on the Web. [pdf]
  • "Leveraging Existing Resources using Generalized Expectation Criteria". Gregory Druck, Gideon S. Mann, Andrew McCallum, NIPS Workshop on Learning Problem Design. [pdf]
  • "Reducing Annotation Effort using Generalized Expectation Criteria". Gregory Druck, Gideon S. Mann, Andrew McCallum,  University of Massachusetts Amherst Tech Report 07-62. [pdf]
  • "Generalized Expectation Criteria". Andrew McCallum, Gideon S. Mann, Gregory Druck.  University of Massachusetts Amherst Tech Report 07-60
  • "Bibliometric Impact Measures Leveraging Topic Analysis".Gideon S. Mann, David Mimno, Andrew McCallum.  JCDL. [pdf
  • "Multi-Document Statistical Fact Extraction and Fusion". Gideon S. Mann,  Ph.D. Thesis.  [pdf]
  • "Cascaded Information Synthesis for Timeline Construction". Gideon S. Mann, Technical Report, University of Massachusetts IR-501. [pdf]
  • "Reverse-Engineering Question/Answer Collections from Ordinary Text". Ellen Riloff, Gideon S. Mann, Bill Philips,  in "Advan ces in Open-Domain Question Answering", Tomek Strzalkowski and Sanda Harabagiu, editors.
  • "Multi-Field Information Extraction and Cross-Document Fusion".  Gideon S. Mann, David Yarowsky,  ACL.  [pdf]
  • "Unsupervised Personal Name Disambiguation". Gideon S. Mann, David Yarowsky, CoNLL. [pdf]
  • "Bootstrapping toponym classifiers".  David A. Smith, Gideon S. Mann,  Workshop on geographic name disambiguation. [pdf]
  • "Learning How to Answer Questions using Trivia Games". Gideon S. Mann,  COLING. [pdf]
  • "Fine-Grained Proper Noun Ontologies for Question Answering". Gideon S. Mann . [pdf ]
  • "Analyses for Elucidating Current Question Answering Technology".  Marc Light, Gideon S. Mann, Ellen Riloff, Eric Breck,  Journal of Natural Language Engineering, 7:4 [pdf]
  • "Multipath Translation Lexicon Induction via Bridge Languages".  Gideon S. Mann and David Yarowsky  NAACL [pdf]
  • "A Statistical Method for Short Answer Extraction". Gideon S. Mann  Workshop on Open-Domain Question Answering at ACL [pdf]
  • "Looking Under the Hood: Tools for Diagnosing your Question Answering System".  Eric Breck, Marc Light, Gideon S. Mann, Ellen Riloff, Brianne Brown, Pranav Anand, Mats Rooth, Michael Thelen  Workshop on Open-Domain Question Answering at ACL [pdf]
Gideon Mann,
Dec 2, 2009, 12:16 PM
Gideon Mann,
Dec 28, 2009, 11:37 AM
Gideon Mann,
Nov 10, 2009, 8:18 PM
Gideon Mann,
May 22, 2011, 9:45 PM
Gideon Mann,
Feb 14, 2014, 2:07 PM
Gideon Mann,
Dec 8, 2009, 3:15 PM
Gideon Mann,
Mar 22, 2010, 12:16 PM
Gideon Mann,
Dec 6, 2010, 1:16 PM
Gideon Mann,
Dec 3, 2010, 12:40 PM
Gideon Mann,
Jul 31, 2011, 12:59 PM
Gideon Mann,
Nov 15, 2013, 7:52 AM
Gideon Mann,
May 14, 2013, 9:52 AM
Gideon Mann,
Feb 24, 2014, 10:48 AM