Come and join us at our bi-weekly MLunch.

Time: Mondays at noon
Location: Bryan 305

Presentation Schedule: (Fall 2014)

  • 08/11/2014
    Speaker: Josh Swamidass
    Title: Extending P450 Site-of-Metabolism Models with Region-Resolution Data
  • 08/25/2014
    Speaker: Jake Gardner
    Title: Fast Parallel Solvers for Lasso and Elastic Net
  • 09/08/2014
    Speaker: Barani Raman
    Title: Challenges and opportunities in analyzing high-dimensional biological and sensor datasets
  • 09/22/2014
    Speaker: Patricio S. La Rosa
    Title: Modeling the impact of “landscapes” on product performance
  • 10/06/2014
    Speaker: Brendan Juba
    Title: Conditional Distribution Search
  • 10/20/2014
    Speaker: Matt Kusner
    Title: Differentially Private Bayesian Optimization

Presentation Schedule: (Spring 2014)

  • 02/10/2014
    Speaker: Jake Gardner
    Title: Bayesian Optimization with Inequality Constraints
  • 02/24/2014
    Speaker: Elad Gilboa
    Title: Scaling multidimensional GP, from theory to denoising fMRI data
  • 03/17/2014
    Speaker: Wenlin Chen
    Title: Fast Flux Discriminant for Large-Scale Sparse Nonlinear Classification
  • 03/31/2014
    Speaker: Matt Kusner
    Title: Stochastic Neighbor Compression
  • 04/14/2014
    Speaker: Abby Stylianou
    Title: Finding Jane Doe: A Forensic Application of 2D Camera Calibration
  • 04/28/2014
    Speaker: Mithun Chakraborty
    Title: On Manipulation in Prediction Markets When Participants Influence Outcomes Directly

Presentation Schedule: (Fall 2013)

  • 09/09/2013
    Speaker: Wenlin Chen
    Title: Density-Based Logistic Regression
  • 09/23/2013
    Speaker: Kendrick Kay
    Title: Using fMRI data to build computational models of the visual system
  • 10/07/2013
    Speaker: Matthew Kusner
    Title: Anytime Representation Learning
  • 10/17/2013 (Note this is a few days out of order.)
    Speaker: Laurens van der Maaten
    Title: T.B.A.
  • 11/04/2013
    Speaker: Zheng Chen
    Title: A Marginalized Denoising Method for Link Prediction in Relational Data
  • 11/11/2013
    Speaker: Ankur Mani
    Title: On the Control of Externalities in Networked Societies: The Role of Peer Pressure
  • 12/02/2013
    Speaker: Allen Lavoie
    Title: Inverse Reinforcement Learning in Social Media

Presentation Schedule: (Spring 2013)

  • 02/04/2013
    Speaker: Austin Abrams
    Title: Single-View Shape in the Wild
  • 02/18/2013
    Speaker: Ikenna Odinaka
    Title: Identifying People by the Shape of their Heartbeat
  • 03/04/2013
    Speaker: Stephen Tyree
    Title: Learning with Marginalized Corrupted Features
  • 03/18/2013
    Speaker: Daniel Hsu
    Location: "Whitaker Hall, Room 218"
    Title: Fast Learning Algorithms for Discovering the Hidden Structure of Data
  • 04/01/2013
    Speaker: Matthew Kusner
    Title: Cost-Sensitive Tree of Classifiers
  • 04/15/2013
    Speaker: C. Charles Gu
    Title: Problems in Analyzing BIG Data in Genetic Study of Complex Disease
  • 04/29/2013
    Speaker: Wenlin Chen
    Title: Maximum Variance Correction with Application to A* Search

Presentation Schedule: (Fall 2012)

  • 08/27/2012
    Speaker: Dor Kedem
    Title: Non-linear metric learning
  • 9/10/2012
    Speaker: Eddie Xu
    Title: From sBoW to dCoT: Marginalized Encoders for Text Representation
  • 9/24/2012
    Speaker: Elad Gilboa
    Title: Structured Gaussian Processes
  • 10/08/2012
    Speaker: Joset Etzel
    Title: Machine Learning and fMRI MVPA
  • 10/22/2012
    Speaker: Michael Stevens
    Title: Genetics and Machine Learning
  • 11/05/2012
    Speaker: Zheng Chen
    Title: Domain Adaptation with Non-negative Matrix Factorization
  • 11/19/2012
    Speaker: Austin Abrams
    Title: Simultaneous Color Calibration and Surface Normal Estimation of Outdoor Scenes
  • 12/03/2012
    -- No MLunch because of NIPS conference --

Mailing list:
Please email the coordinator to join the mailing list

2012 coordinator: Matt Kusner (