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Main menu
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Event Calendar
CENTER FOR DATA SCIENCE LAUNCH
April 9, 2015
Scott Linderman of Harvard University
February 12, 2015
Ari Kobren of UMass CS
February 19, 2015
Jean-Baptiste Tristan from Oracle Labs
February 26, 2015
Karthik Raman from Cornell University
March 5, 2015
Bishan Yang from Cornell University
March 10, 2015
Marek Petrik from IBM Research
March 12, 2015
Francesca Rossi from University of Padova and Harvard University
March 26, 2015
Kai-Wei Chang from University of Illinois at Urbana Champaign
March 31, 2015
Jennifer Listgarten from Microsoft Research
April 16, 2015
Rob Platt from Northeastern University
April 23, 2015
Hack UMass
April 11, 2015
Jason Weston - Memory Networks
April 2, 2015
Full Contact Entrepreneurship and the Liberal Arts
April 7, 2015
Computational Aspects of Complex Pattern Formation
May 4, 2015
Graph Construction for Manifold Discovery
May 8, 2015
Disciplinary Thinking, Computational Doing
October 6, 2015
UMass Hackathon
October 24, 2015
to
October 25, 2015
Steve Willis
September 14, 2015
Chinese Restaurant Processes
September 21, 2015
Deep Learning Poster Session
December 14, 2015
Mass Big Data Western Mass Tech Treks
September 28, 2015
Bo Liu
September 10, 2015
Data Science Career Mixer
October 21, 2015
CICS Career Fair
October 22, 2015
Xialoan Wang
September 24, 2015
Karthik Narasimhan
October 1, 2015
Laura Haas
October 8, 2015
Zhaoliang Lun
October 15, 2015
James Zou
October 19, 2015
Zornitsa Kozareva
October 29, 2015
Jason Yosinski
November 5, 2015
David Duvenaud
November 12, 2015
David Blei
November 19, 2015
Statistical Modeling in Global Health
October 2, 2015
Scott Linderman
February 12, 2016
Ari Kobren
February 19, 2016
Jean-Baptiste Tristan
February 26, 2016
Microsoft AzureTM Cloud Computing Workshop
January 26, 2016
Samuel Madden
January 20, 2016
DataCamp: Teaching Data Science at Scale
February 5, 2016
Variable Selection is Hard
February 9, 2016
Implicit methods for principled estimation with large data sets
February 9, 2016
Data Science at MassMutual
February 10, 2016
3 D's of Anomaly Mining in Complex Graphs: Definition, Detection, and Description
February 8, 2016
DS Research Symposium
April 22, 2016
Protecting Computer Systems by Eliminating Vulnerabilities
February 22, 2016
Amazon Echo and Alexa
March 1, 2016
Inference and Learning with Deep Structured Distributions
February 29, 2016
Five College DataFest - informational meeting
March 1, 2016
Learning in Strategic Environments: Theory and Data
March 2, 2016
Scalable Gaussian Processes for Scientific Discovery
March 10, 2016
Poster Session
January 26, 2016
Customized Stroke Rehabilitation & Software Development Tool-building
February 2, 2016
Eye Tracking: Methods & Applications
December 7, 2015
Rachel Cummings, Adaptive Learning With Robust Generalization Guarantees
March 17, 2016
Manzil Zaheer
March 24, 2016
Brad Hayes
April 14, 2016
Christina Lee
April 21, 2016
Matthew Gombolay
May 19, 2016
Matthew Taylor
May 26, 2016
Five College DataFest
April 1, 2016
to
April 3, 2016
Launch
April 2, 2016
Innovation Challenge Finale
April 7, 2016
Data Science Projects at MassMutual
April 12, 2016
UMass Linguistics
April 26, 2016
Professor Xiangnan Kong
May 3, 2016
Grad Student talks
April 19, 2016
Beating The News: Predicting Significant Societal Events From Open Source Data
April 12, 2016
Texts Come from People - How Demographic Factors Influence NLP Models
April 26, 2016
2017 Data Science Research Symposium
April 27, 2017
GWIS & GRiD Presents: Free R/Python Workshops
July 12, 2016
GWIS & GRiD: R/Python - Data Extraction/Pre-processing
July 19, 2016
GWIS & GRiD: R/Python - Models & Inference
July 26, 2016
GWIS & GRiD: R/Python - Viz & Optimization
August 2, 2016
Antoine Bordes
September 15, 2016
Thien Nyugen - Neural Information Extraction with Memory
September 22, 2016
Yoshua Bengio
September 29, 2016
Tommi Jaakkola
October 28, 2016
Welcome
September 13, 2016
Bin Yu
October 3, 2016
Data Science Concentration Information Session
September 8, 2016
George Grinstein
September 20, 2016
Sheila Werth, Kevin Winner and Garrett Bernstein
September 27, 2016
Deep Learning Whiteboard Talks
October 4, 2016
Frank Linton
October 18, 2016
Demographic Dialectal Variation in Social Media and Structured Prediction Models for RNN based Sequence Labeling in Clinical Text
October 24, 2016
Charalampos Mavroforakis
November 15, 2016
Whiteboard Talks
November 28, 2016
Miriam Madsen
December 5, 2016
CS585 NLP Poster Session
December 13, 2016
Career Mixer 2016
October 13, 2016
Career Mixer Practice
October 11, 2016
Chao Chen - Topological Analysis of Modern Data
October 11, 2016
Entrepreneur-in-Residence office hours
October 11, 2016
Steve Willis Office hours
November 1, 2016
Chris Kedzie, Real-Time Web Scale Event Summarization Using Sequential Decision Making
October 27, 2016
Tianan Xue
November 3, 2016
Andreas ten Pas
November 17, 2016
Jayant Krishnamurthy
December 1, 2016
John Lalor
December 8, 2016
Siva Reddy - Freebase Semantic Parsing With And Without QA Pairs
September 16, 2016
Hugo Larochelle - Fighting our Big Data Addiction with Representation Learning
October 13, 2016
Jiajun Wu - Computational Perception of Physical Object Properties
October 20, 2016
Jamie Morgenstern
November 8, 2016
Byron Boots
November 7, 2016
Even Shelhamer
November 10, 2016
Samantha Kleinberg
November 10, 2016
Pegram Rooshenas - Learning Tractable Graphical Models
November 30, 2016
Steve Willis - Entrepreneurial advice
November 29, 2016
Mohit Iyyer, University of Maryland
November 30, 2016
MassMutual Data Science Development Program Info Session
February 7, 2017
Philip Thomas - Safe Machine Learning
January 31, 2017
Advances In Scalable Probabilistic Modeling Theory Applications And Challenges
February 2, 2017
Anastasia's Kyrillidis - Rethinking algorithms in Data Science: Scaling up optimization using non-convexity, provably
March 21, 2017
Nanyun (Violet) Peng - Representation Learning with Joint Models for Information Extraction
February 16, 2017
Hao Tang
February 9, 2017
Naomi Fitter
February 16, 2017
Andrew Trapp
February 23, 2017
Carsten Eickhoff - Clinical Text Understanding and Decision Support
February 9, 2017
Georges Grinstein - Opportunities for Collaborative Research in Visual Analytics (with me)
February 6, 2017
Rachel Cummings - The Implications of Privacy-Aware Choice
February 14, 2017
Amit Sharma - Causal data mining: Estimating causal effects at scale
March 1, 2017
Hack2O - Weekend Hackathon with GRiD
February 24, 2017
to
February 26, 2017
Yingyu Liang - Theory for New Machine Learning Problems and Applications
February 22, 2017
Nan Jiang - New Results in Statistical Reinforcement Learning
February 28, 2017
Five College DataFest
March 31, 2017
to
April 2, 2017
"Practical Challenges and Applications of Structured Predictions”
March 7, 2017
Ming Yin - “Peeking into the On-Demand Economy”
March 23, 2017
Mohair Iyyer - “Using Deep Learning to Understand and Answer Questions about Creative Language”
March 20, 2017
David Moorman
March 23, 2017
Mikael Henaff
March 30, 2017
Alp Kucukelbir - Towards Automated Machine Learning
March 28, 2017
Ilya Razenshteyn - New Algorithms for High-Dimensional Data
March 27, 2017
Travis Mandel - "Better Education Through Improved Reinforcement Learning"
April 3, 2017
Arthur Spirling - "Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It"
March 31, 2017
Robert Kozma
April 6, 2017
Sainbayar Sukhbaatar
April 13, 2017
Marco Serafini - Democratizing Graph Analytics
March 30, 2017
She Started It
April 10, 2017
A Morning with Cathy O'Neil, Mount Holyoke College, April 8th
April 8, 2017
Hari Balasubramanian
April 20, 2017
Electrophysiological Measures of Attention and Speech Processing
April 10, 2017
Yexiang Xue - Combining Reasoning and Learning for Data Science and Decision Making: Integrating Concepts from AI, Sustainability, and Scientific Discovery
April 18, 2017
Faisal Nawab - Efficient Coordination for Global-Scale Data Management
April 24, 2017
Tom Williams
April 26, 2017
Scott W. Linderman
May 4, 2017
Mark Dredge - Compositional Models for Information Extraction
May 8, 2017
MS Industry Mentorship Student Presentations
May 8, 2017
Causal Inference with Graphical Models Workshop
June 26, 2017
to
June 27, 2017
Qiang Liu
June 13, 2017
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