Come and join us at our bi-weekly MLunch.

Time: Mondays at noon
Location: Bryan 305

Presentation Schedule: (Spring 2016)

  • 02/01/2016
    Speaker: Siddhartha Chib
    Title: Bayesian Model Inference: Some Theoretical and Computational Issues
  • 02/08/2016
    Speaker: Allen Lavoie
    Title: Automatically Characterizing Product and Process Incentives in Collective Intelligence

Presentation Schedule: (Fall 2015)

  • 10/05/2015
    Speaker: Gustavo Malkomes
    Title: Fast Distributed k-Center Clustering with Outliers on Massive Data
  • 10/19/2015
    Speaker: Mithun Chakraborty
    Title: Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents
  • 11/02/2015
    Speaker: Marion Neumann
    Title: Learning with Graphs using Kernels from Propagated Information
  • 11/16/2015
    Speaker: Kevin Scannel
    Title: Machine learning and technology for endangered languages
  • 11/30/2015
    Speaker: Yuefeng Wu
    Title: Hit and Run ARMS: Adaptive Rejection Metropolis Sampling with Hit and Run Random Direction

Presentation Schedule: (Spring 2015)

  • 01/12/2015
    Speaker: Joseph A. O'Sullivan
    Title: Information-Theoretic Iterative Image Reconstruction via Message Passing
  • 02/09/2015
    Speaker: Zhuoshu Li
    Title: The Role of Common and Private Signals in Two-Sided Matching With Interviews
  • 02/23/2015
    Speaker: Roman Garnett
    Title: Finding Proto-Galaxies in the Shadows of Supermassive Black Holes
  • 03/16/2015
    Speaker: Wenlin Chen
    Title: Filtered Search for Submodular Maximization with Controllable Approximation Bounds
  • 03/30/2015
    Speaker: Tom Matthews
    Title: Applications of stochastic optimization to ultrasound computed tomography
  • 04/6/2015
    Speaker: Kun Wang
    Title: Sparse variational Bayesian inference method for task-based image quality assessment
  • 04/20/2015
    Speaker: Jake Gardner
    Title: Psychophysical Testing with Bayesian Active Learning

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

Spring 2016 coordinator: Gustavo Malkomes (