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Yahoo! indeed! This semester of the UMass Machine Learning and Friends Lunch (MLFL) series has been graciously sponsored by our friends at Yahoo!. MLFL is a lively and interactive forum held weekly where friends of the UMass Amherst machine learning community can sit down, have lunch, and give or hear a 50-minute presentation on recent machine learning research.

What is it?A gathering of students/faculty/staff with broad interest in the methods and applications of machine learning.
When is it?Wednesdays 12:00pm to 1:15pm, unless otherwise noted.
Where is it?CS151
Who is invited?Everyone is welcome.
Is there food?Yes! Pizza is provided.
Can I present?Yes! If you would like to present your research, please email David Mimno.

SPRING 2009 Speaker List

DateSpeakerTitleLabInstitutionSponsor
1/28/09 Cancelled due to weather   
2/4/09Chang WangLearning Optimal Projections for Manifold AlignmentALLUMassYahoo!
2/11/09Jordan Boyd GraberLinguistic Extensions to Topic ModelsStatistical LearningPrincetonYahoo!
2/18/09Victoria ManfrediRobust Routing in Dynamic NetworksNetworkingUMassYahoo!
2/25/09Tanzeem ChoudhuryLearning Curved Exponential Family Models to Infer Face-to-Face Interaction Networks from Situated Speech Data DartmouthYahoo!
3/11/09Shane JensenBayesball: A Bayesian Hierarchical Model for Evaluating Fielding in Major League BaseballWharton SchoolPennYahoo!
3/19/09Katherine HellerBayesian Hierarchical Clustering CambridgeYahoo!
3/25/09Tony JebaraMatching, Embedding and Clustering for Graphs and Data ColumbiaYahoo!
4/1/09Matt LeaseBeyond keywords: finding information more accurately and easily using natural languageIESLUMassYahoo!
4/8/09John LangfordOnline Conditional Probability Tree Learning Yahoo ResearchYahoo!
4/22/09Dan GrollmanLearning multimap robot control policies from demonstration BrownYahoo!
4/29/09Yisong YueInformation Retrieval as Structured Prediction CornellYahoo!
5/6/09Michael Hay?TBA UMassYahoo!

FALL 2008 Speaker List

DateSpeakerTitleLabInstitutionSponsor
09/10/08David JensenAutomatic Identification of Quasi-Experimental Designs for Discovering Causal KnowledgeKDLUMassYahoo!
09/17/08David MimnoTopic Models Conditioned on Arbitrary Features with Dirichlet-multinomial RegressionIESLUMassYahoo!
10/1/08Michael WickA Unified Approach for Schema Matching, Coreference and CanonicalizationIESLUMassYahoo!
10/8/08Natalia Hernandez GardiolRelational Equivalence-Based PlanningCSAILMITYahoo!
10/15/08Vikash MansinghkaLanguages and Machines for Inductive Learning and Uncertain ReasoningComp. Cog. Sci.MITYahoo!
10/23/08 (THU)Ramgopal MettuAdaptive Bayesian InferenceECSUMassYahoo!
11/5/08Sameer SinghIntroduction to Deep Belief Nets UMassYahoo!
11/12/08Carlos DiukAn Object-oriented representation for efficient reinforcement learningReal-life RLRutgersYahoo!
11/19/08Winter MasonSocial Influence over Social Networks YahooYahoo!
12/3/08Stephen HartTBA UMassYahoo!
12/10/08ML ClassPresentations UMassYahoo!

SPRING 2008 Speaker List

DateSpeakerTitleLabInstitutionSponsor
02/27/08Andres Corrada-EmmanuelCan robots measure their own error in mapping missions?CIIRUMassYahoo!
03/05/08Kedar Bellare*TBA UMassYahoo!
03/12/08Donald MetzlerMachine Learned Sentence Selection Strategies for Query-Biased SummarizationYahoo! ResearchYahoo!Yahoo!
03/19/08SPRING BREAK
03/26/08Leon PeshkinTowards a cognitive robotic biologist: machine learning for automated image analysis in systems biologySystems BiologyHarvard Med SchoolYahoo!
04/02/08Khashayar Rohanimanesh*TBA UMassYahoo!
04/09/08Luke ZettlemoyerLearning to Map Sentences to Logical FormCSAILMITYahoo!
04/16/08Jerod WeinmanSparse Variational Learning for Stereo VisionCVLUMassYahoo!
04/23/08Tom DietterichTaskTracer: Toward an Activity-Oriented Desktop Interface Oregon StateYahoo!
04/30/08George KonidarisSensorimotor Abstraction Selection for Autonomous Robot Skill AcquisitionALLUMassYahoo!
05/07/08David WingateUsing Nonparametric Bayesian Models to Learn Dynamical SystemsBrain & Cog. SciencesMITYahoo!

Past Presentations

A special thanks to all the following people for their past presentations:

DateSpeakerTitleLabInstitutionSponsor
FALL 2007
09/19/07Terry KooExponentiated Gradient Algorithms for CRFs and Max-Margin Markov NetworksCSAILMITYahoo!
09/26/07Jay PonteLarge-scale Machine Translation at GoogleGoogleGoogle
10/03/07Vidit JainPeople-LDA: Anchoring Topics to People using Face RecognitionCVLUMassYahoo!
 Gary HuangUnsupervised Joint Alignment of Complex ImagesCVLUMassYahoo!
10/10/07Kishore PapineniComputational challenges in online advertisementsYahoo!Yahoo!
10/17/07Brian MilchHierarchical Bayesian Transfer Learning for Probabilistic Action-Effect RulesCSAILMITYahoo!
10/24/07Lev ReyzinLearning Hidden Graphs and Circuits with Query AccessYaleYahoo!
10/31/07Daniel RoyA natural extension of the Dirichlet process to relational dataMITYahoo!
11/7/07Filip RadlinskiActive Exploration for Learning to RankCornellYahoo!
11/14/07Yahoo!
11/21/07Sridhar MahadevanFeature Discovery Using Group TheoryALLUMassYahoo!
11/28/07Prem MelvilleIntegrating Data Acquisition with Model Induction: Targeting Offers for Electronic CommerceIBMYahoo!
12/5/07T.B.A.
12/12/07Machine Learning Class PresentationUMassYahoo!
SPRING 2007
02/15/07Kinh TieuObject Interaction Analysis by Estimating Statistical DependenceCSAILMITMcCallum
02/22/07 No MLFL
03/01/07Sarah OsentoskiLearning State-Action Basis Functions for Hierarchical MDPsALLUMassBarto
03/08/07Ron BekkermanOne-class clustering for Web mining and information retrievalCIIRUMassZilberstein
03/15/07David MimnoExploring Patterns in Topical Co-OccurrenceIESLUMassMahadevan
03/22/07 No MLFL
03/29/07Manjunatha JagalurRegistration and Analysis of In Situ Hybridization ImagesCBLUMassJensen
04/05/07Lisa FriedlandFinding Tribes: Identifying Close-Knit Individuals from Employment PatternsKDLUMassMcCallum
04/12/07Matthew RattiganGraph clustering with network structure indicesKDLUMassAllan
04/19/07Andres Corrada-EmmanuelAutonomous Error Estimates for an Aerial Mapping Appliance?PhysicsUMassJensen
04/26/07Joseph MurrayVisual Recognition and Inference Using Dynamic Sparse LearningBrain and Cognitive SciencesMIT 
05/03/07Wei LiNonparametric Bayes Pachinko AllocationIESLUMassPal
 Rob HallOnline Ranking Applied to Greedy Coreference Resolution   

Additional past talks can be found in the MLFL Archive

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Page last modified on March 30, 2009, at 11:41 AM