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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?Thursdays 12:00pm to 1:00pm, unless otherwise noted.
Where is it?CS150
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 Belanger or Kriste Krstovski.
Who is the generous sponsor of this regular eventYahoo!

SPRING 2013 Speaker List

DateSpeakerTitleLabInstitutionSponsor
02/01/2013Deqing SunFrom Pixels to Layers: Joint Motion Estimation and Segmentation HarvardYahoo!
02/07/2013   Yahoo!
02/14/2013Laura DietzA Neighborhood Relevance Model for Entity LinkingCIIRUMass Amherst CSYahoo!
02/25/2013Alexander SchwingEfficient Inference and Learning for Structured Models  ETH ZurichYahoo!
02/28/2013    Yahoo!
03/07/2013Alan RitterExtracting Knowledge from Informal Text University of WashingtonYahoo!
03/14/2013Liang HuangScalable Structured Learning with Inexact Inference and Parallelization City University of New YorkYahoo!
03/21/2013No MLFL (Spring break)   Yahoo!
03/28/2013Ben VigodaProbability Processors for Accelerating Statistical Inference and Learning Lyric LabsYahoo!
04/04/2013Suju RajanThe Internet Ordered for You Yahoo ResearchYahoo!
04/11/2013Andrew KaeThink Globally and Locally: Hybrid Models for Segmentation and LabelingVisionUMass Amherst CSYahoo!
04/18/2013Philip ThomasMotor Primitive DiscoveryALLUMass Amherst CSYahoo!
04/22/2013Richard SocherRecursive Deep Learning in Natural Language Processing and Computer Vision StanfordYahoo!

FALL 2012 Speaker List

DateSpeakerTitleLabInstitutionSponsor
09/13/2012David Belanger and Alexandre PassosMAP Inference in Chains using Column GenerationIESLUMass Amherst CSYahoo!
09/20/2012Yahan ZhouPoint Sampling with General Noise SpectrumComputer Vision and GraphicsUMass Amherst CSYahoo!
09/27/2012Daniel SheldonProblems in Computational Ecology and Learning with Aggregate Data UMass Amherst CSYahoo!
10/04/2012Brendan O'ConnorA Framework for Social Data Analysis of Text CMUYahoo!
10/11/2012No MLFL (Room not available)---Yahoo!
10/18/2012Lirong XiaRandom Utility Models for Social Choice HarvardYahoo!
10/25/2012Victor LesserCoordinating Multi-Agent LearnersMulti-Agent SystemsUMass Amherst CSYahoo!
11/01/2012Youngho KimMining Query Associations to Predict Search PerformanceCIIRUMass Amherst CSYahoo!
11/08/2012Vangelis KalogerakisMachine learning algorithms for 3D shape understanding and modeling UMass Amherst CSYahoo!
11/15/2012Apoorv AgarwalSocial Interaction Network Extraction from Text Columbia UniversityYahoo!
11/22/2012No MLFL (Thanksgiving!)---Yahoo!
11/28/2012Sham KakadeTensor Decompositions for Learning Latent Variable Models Microsoft Research New EnglandYahoo!
11/29/2012Joseph BradleyOptimizing Trade-offs in Learning Graphical Models Carnegie Mellon UniversityYahoo!
12/06/2012Kriste KrstovskiEfficient Nearest-Neighbor Search in the Probability SimplexIR/IESLUMass Amherst CSYahoo!

SPRING 2012 Speaker List

DateSpeakerTitleLabInstitutionSponsor
01/26/2012 (talk starts at 12:30)Jake HofmanModeling Social Data Yahoo!Yahoo!
02/02/2012Xiaobing XueModeling Reformulation Using Query DistributionsCIIRUMass CSYahoo!
02/09/2012James BergstraGrid Search is a Bad Hyper-parameter Optimization Algorithm HarvardYahoo!
02/16/2012David SmithInferring and Exploiting Relational Structure in Large Text Collections UMass CSYahoo!
02/23/2012Michael BenderskyParameterized Concept Weighting for Information RetrievalCIIRUMass CSYahoo!
03/01/2012 (talk starts at 12:30)Sharad GoelComputational Social Science: Studying Human Behavior at ScaleEconomics and Social SystemsYahoo!Yahoo!
03/08/2012 (talk starts at 12:30)Richard ColbaughLeveraging Socioeconomic Models for Prediction Sandia National LabYahoo!
03/15/2012Slav PetrovFast, Accurate and Robust Multilingual Syntactic Analysis GoogleYahoo!
03/22/2012No MLFL (Spring Break)---Yahoo!
03/29/2012MLFL rescheduled to 4/6---Yahoo!
04/05/2012Rosie Jones and Dmitry PechyonyLarge-Scale Machine Learning for Display Advertising AkamaiYahoo!
04/06/2012Joseph ReisingerLatent Variable Models of Distributional Lexical Semantics University of Texas at AustinYahoo!
04/12/2012İsmet Zeki YalnızMining a Million Books: Partial Duplicate Detection, Translation Identification and OCR Evaluation UMass CSYahoo!
04/19/2012Sewoong OhLearning from the Wisdom of the Crowd: Efficient Algorithms and Fundamental Limits MITYahoo!
04/26/2012Roger GrosseExploiting compositionality to explore a large space of model structures MITYahoo!

FALL 2011 Speaker List

DateSpeakerTitleLabInstitutionSponsor
09/15/2011No MLFL (Room not available)---Yahoo!
09/22/2011Huseyin OktayCausal Estimation in Social Media and Distance Estimation in Social NetworksKDLUMass CSYahoo!
09/29/2011Ben MarlinProbabilistic Modeling of Electronic Health Records Data UMass CSYahoo!
10/06/2011Adam CoatesUnraveling Unsupervised Feature Learning StanfordYahoo!
10/13/2011No MLFL (Room not available)---Yahoo!
10/20/2011Joseph GonzalezGraphLab: A Framework for Asynchronous Parallel Machine Learning CMUYahoo!
10/27/2011Dipanjan DasMultilingual Guidance for Unsupervised Linguistic Structure Prediction CMUYahoo!
11/03/2011Sridhar MahadevanOnline Learning By Optimizing Bregman DivergencesALLUMass CSYahoo!
11/10/2011Eric SolisAbsolute protein quantitation: Efficient inference with an unknown quantity of non-ignorable missing data. HarvardYahoo!
11/17/2011David WingateA Reinforcement Learning Approach to Variational Inference in Probabilistic ProgramsCSAILMITYahoo!
11/24/2011No MLFL (Thanksgiving!)---Yahoo!
12/01/2011Jon BischofModeling Differential Word Usage in Hierarchically Labeled Document Collections HarvardYahoo!
12/08/2011Weibo GongCan one hear the shape of a concept? UMass ECEYahoo!
12/15/2011CMPSCI 689 (Machine Learning)Final Project Presentations-UMass CSYahoo!

SPRING 2011 Speaker List

DateSpeakerTitleLabInstitutionSponsor
2/3/2011TBD   Yahoo!
2/10/2011Megan OlsenEmotional Cellular Automata for Ecological ModelingBINDSUMassYahoo!
2/17/2011Robert Platt CSAILMITYahoo!
2/24/2011David McCloskyEvent Extraction as Dependency Parsing StanfordYahoo!
3/3/2011TBD   Yahoo!
3/10/2011There is already an interesting ML talk scheduled   Yahoo!
3/17/2011Spring BreakNO MLFL!ENJOY! Yahoo!
3/24/2011Alice OhApplications of Latent Dirichlet Allocation and Hierarchical Dirichlet Processes U&I LabKAISTYahoo!
3/31/2011TBD   Yahoo!
4/7/2011TBD   Yahoo!
4/14/2011TBD   Yahoo!
4/21/2011TBD   Yahoo!
4/28/2011Sebestian RiedelThe Wonderful Worlds of Biomedical Event Extraction, Joint Inference and Dual DecompostionIESLUMassYahoo!
5/4/2011Sasha RushTBD  Yahoo!

FALL 2010 Speaker List

DateSpeakerTitleLabInstitutionSponsor
9/16/10David SilverReasoning in MDPs by Option Model Composition MITYahoo!
9/23/10Marc MaierLearning Causal Models of Relational DomainsKDLUMassYahoo!
9/30/10Ivon ArroyoEducational Data Mining: Learning to Teach from Student Logs of a Tutoring SystemCKCUMassYahoo!
10/7/10Daniel RamagePartially Labeled Topic Models for Interpretable Text Mining StanfordYahoo!
10/14/10NoneNo MLFL this week   
10/21/10NoneNo MLFL this week  Yahoo!
10/28/10NoneNo MLFL this week  Yahoo!
11/4/10William YerazunisKeeping the Good Stuff In: Confidential Information Firewalling with the CRM114 Spam Filter & Text Classifier MERLYahoo!
11/11/10Kwan Hong LeeSocial Menu as Mobile Probe to Understand Impacts of Contextual Social NetworksMedia LabMITYahoo!
11/18/10Finale DoshiBayesian Nonparametric Approaches to Reinforcement Learning in Partially Observable Domains MITYahoo!
11/25/10Thanksgiving!On the merits of whole-berry cranberry sauce: why are you eating that stuff from a can?The Pilgrims, and the Native Americans who kept them from starvingThe Plymouth Plantation and the Wampanoag Tribe, MassachusettsAmerica
12/2/10    Yahoo!
12/9/10Ankur ManiExclusive Bilateral Exchanges in Social NetworksHuman Dynamics GroupMITYahoo!
12/16/10Akshat KumarMAP Estimation for Graphical Models by Likelihood MaximizationRBRUMassYahoo!

SUMMER 2010 Speaker List

DateSpeakerTitleLabInstitutionSponsor
7/12/10Stephen E. LevinsonThe Role of Sensorimotor Function, Associative Memory and Reinforcement Learning in Automatic Acquisition of Spoken Language by an Autonomous RobotElectrical EngineeringUniversity of IllinoisYahoo!

SPRING 2010 Speaker List

DateSpeakerTitleLabInstitutionSponsor
2/4/10Kourosh DanaiParameter Adaptation in the Time-Scale DomainEngineeringUMassYahoo!
2/18/10Marek PetrikReliable Reinforcement Learning For Resource Management ProblemsComp Sci.UMassYahoo!
2/25/10Michael BenderskyLearning Concept Importance Using a Weighted Dependence ModelCIIRUMassYahoo!
3/11/10Sylvie TchumtchouaModeling Associations among Multivariate Longitudinal Categorical Variables in Survey Data: a Semiparametric Bayesian ApproachStatisticsUConnYahoo!
3/18/10Spring Break    
3/25/10Ruslan SalakhutdinovLearning Undirected Topic Models MITYahoo!
4/8/10Chang WangDomain Adaptation using Manifold AlignmentComp Sci.UMassYahoo!
4/15/10Alicia P. WolfePaying Attention to What Matters: Abstraction in Partially Observable DomainsComputer ScienceWilliamsYahoo!
4/22/10Jinyoung KimBuilding a Semantic Representation of Personal InformationComp Sci.UMassYahoo!
Postponed: 5/6/10Dr. Fatih PorikliLearning on Manifolds: A Computer Vision Viewpoint MERLYahoo!
5/11/10Benjamin RosmanA Game Theoretic Procedure for Learning Hierarchically Structured Strategies University of EdinburghYahoo!

FALL 2009 Speaker List

DateSpeakerTitleLabInstitutionSponsor
9/17/09Douglas CrockfordThe JSON Saga Yahoo!Yahoo!
9/24/09Shivani AgarwalRanking Problems in Machine Learning: Theory and Applications MITYahoo!
10/8/09Janusz MareckiTowards Conquering Uncertainty in Agent Systems IBM WatsonYahoo!
10/15/09Yu LuLearning how galaxies form using the Bayesian approach based Semi-Analytic modelAstronomyUMassYahoo!
10/22/09Josh BongardResilient machinesMorphology, Evolution & Cognition LaboratoryComputer Science, University of VermontYahoo!
11/5/09Daeyoung KimSelection of consistent roots to the likelihood equation in finite mixtures of location-scale distributionsStatisticsUMassYahoo!
11/12/09Lee SpectorExpressive languages for evolved programsCognitive ScienceHampshire CollegeYahoo!
WED 11/18/09Rocco ServedioLearning Halfspaces with Malicious Noise ColumbiaYahoo!
12/3/09Jenn Wortman VaughanCensored Exploration and the Dark Pool ProblemHarvardYahoo!

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 April 04, 2013, at 08:46 PM