UMass LIVING

Meetings

Learning & Inference (Fall 2009)

  • Meetings put on hold until mid-November.
  • (Sept 25, 12-2pm) Kolmogorov & Zabih, “What Energy Functions can be minimized via graph cuts?,” PAMI 2004 [paper], Laura
  • (Sep 18, 12-2pm) Marinescue & Dechter, “Best-First AND/OR Search for MPE,” UAI 2007 [paper], Erik

Variational Inference (Spring 2009 – Fall 2009)

  • (Sep 9, 1-3pm) Sontag & Jaakola, “New Outer Bounds on the Marginal Polytope,” NIPS 2007 [paper, longer version], Moe
  • (Sep 3, 3-5pm) Pawan, Kolmogorov & Torr, “An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs,” JMLR 2009 [paper] Gary
  • (Aug 27, 3-5pm) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [1], ch 9+10, Jackie
  • (Aug 20, 3-5pm) Wainwright, “Estimating the ‘wrong’ graphical model”, [paper], Andrew
  • (Aug 13, 3-5pm) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [1], ch 8 pgs 214-233, Manju
  • (Aug 6, 3-5pm) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [1], ch 8 pgs 195-213, Moe
  • (Jul 30, 3-5pm) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [1], ch 7, Gary
  • (Jul 22, 10:30-12:30) Two papers covering chapters 5 & 6, Manju
    • Minka and Lafferty, “Expectation Propagation for the Generative Aspect Model”, in UAI 2002 [paperEP papersoriginal EP paper]
    • Bouchard-Cote and Jordan, “Optimization of Structured Mean Field Objectives”, in UAI 2009 [paper]
  • (Jul 16, 3-5pm) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [1], ch 6, Jackie
  • (Jul 9, 3-5pm) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [1], ch 5, Andrew
  • (Jul 2, 3-5pm) 2 papers reviewing chapter 4:
    • Yedida et al. “Constructing Free Energy Approximations and Generalized Belief Propogation”, in Trans on Info Theory 2005[paperppt], Gary
    • Minka and Lafferty, “Expectation Propagation for the Generative Aspect Model” (sect 4.2), in UAI 2002 [paperEP papersoriginal EP paper], Moe
  • (Jun 25 3-5pm) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [1], p109-126 Section 4.3, Manju
  • (Jun 19) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [2], p91-126, Jackie
  • (Jun 12) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [3], p75-91, Moe
  • (May 28) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [4], Chapter 1-3 review, – Moe
  • (May 20) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [5], p58-74
  • (May 14) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [6], p51-74
  • (May 7) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [7], p39-74
  • (Apr 30) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [8], p29-66
  • (Apr 23) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [9], p26-33
  • (Apr 9) Wainwright, Jordan, Graphical Models, Exponential Families, and Variational Inference [10], p1-29 – Andrew

Misc Topics (Spring 2009)

  • (Mar 26) Roth, Black, Field of Experts [11] [12]
  • (Mar 19) No meeting (spring break)
  • (Mar 12) Liang, Jordan, An Asymptotic Analysis of Generative, Discriminative, and Pseudolikelihood Estimators [13]
  • (Mar 5) No meeting (ICCV)
  • (Feb 26) Larochelle, Bengio, Louradour, Lamblin, Exploring Strategies for Training Deep Neural Networks [14]
  • (Feb 19) No meeting
  • (Feb 12) Weiss, Torralba, Fergus, Spectral Hashing [15]
  • (Feb 5) Jeff Hawkins, On Intelligence [20], first several chapters.

Previous Meetings (2004 – Fall 2008)

Fall 2008:

  • (Sept 3) Training products of experts by minimizing contrastive divergence [23]
  • We are LIVING again!

Spring 2007:

  • (May 25) Jaakkola, Hausler contd.
  • (May 17) Exploiting generative models in discriminative classifiers – Jaakkola, Hausler
  • (May 4) Lewicki’s paper
  • (May 11) Lewicki’s paper
  • (Apr 12) A. Frome, Y. Singer, J. Malik. “Image Retrieval and Recognition Using Local Distance Functions”. NIPS06
  • (Mar 9) Probabilistic Upper Bound on Differential Entropy and Convex Optimization – [24]
  • (Mar 2) Sparse PCA – [25]
  • (Feb 23) The Dense Estimation of Motion and Appearance in Layers – [26]

Earlier meetings:

  • Dirichlet Processes
  • Inference in Latent Dirichlet Allocation Model – Vidit
  • Efficient Image Matching with Distributions of Local Invariant Features (June 17, 2005) [27] – Moe
  • Field of Experts: A Framework for Learning Image Priors (Apr 15, 2005)
  • Bayes Net – Moe
  • Neighbourhood Components Analysis (March 4, 2005)[28]
  • Eigenfaces for recognition (Feb 11 2005)[29] – Moe
  • ICA (Feb 4, 2005)[30]
  • Learning hyper-features for visual identification (Jan 21, 2005)[31] – Adam
  • Kernel PCA (Jan 6, 2005) [32] – Matthew
  • A morphable model for the synthesis of 3D faces[33] – Erik
  • Learning from One Example Through Shared Densities on Transforms [34] – Erik
  • Light Field Appearance Manifolds [35] – Vidit
Advertisements

Leave a Comment »

No comments yet.

RSS feed for comments on this post. TrackBack URI

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

Create a free website or blog at WordPress.com.

%d bloggers like this: