Each workshop generally has a break from 10:30AM until 3:30PM. For more workshop schedule information please consult the Workshop URL on the workshop's page.
| Thursday, December 10 |
|---|
| 5:00 - 8:30pm |
Registration Desk |
| 9:30 - 9:40pm |
Richard Zemel
Opening Remarks |
| 9:40 - 10:30pm |
Simon Haykin
Cognitive Dynamic Radio |
| Friday, December 11 |
|---|
| 6:30 - 8:00am |
Breakfast |
| 7:00 - 11:00am |
Registration Desk |
| 7:30am - 6:30pm |
Rui Castro, Nando de Freitas, Ruben Martinez-Cantin
Adaptive Sensing, Active Learning, and Experimental Design |
| 7:30am - 6:30pm |
Shivani Agarwal, Christopher Burges, Koby Crammer
Advances in Ranking |
| 7:30am - 6:30pm |
Edoardo Airoldi, Jure Leskovec, Jon Kleinberg, Josh Tenenbaum
Analyzing Networks and Learning With Graphs |
| 7:30am - 6:30pm |
David Blei, Jordan Boyd-Graber, Jonathan Chang, Katherine Heller, Hanna Wallach
Applications for Topic Models: Text and Beyond |
| 7:30am - 6:30pm |
Margareta Ackerman, Shai Ben-David, Avrim Blum, Isabelle Guyon, Ulrike von Luxburg, Robert Williamson, Reza Bosagh Zadeh
Clustering: Science or art? Towards principled approaches |
| 7:30am - 6:30pm |
Andreas Krause, Pradeep Ravikumar, Jeff Bilmes
Discrete Optimization in Machine Learning: Submodularity, Polyhedra and Sparsity |
| 7:30am - 6:30pm |
Alex Clark, Dorota Glowacka, John Shawe-Taylor, Yee Whye Teh, Chris Watkins
Grammar Induction, Representation of Language and Language Learning |
| 7:30am - 6:30pm |
Alex Gray, Alexander Smola, Arthur Gretton, Joseph Gonzalez, Carlos Guestrin
Large-Scale Machine Learning: Parallelism and Massive Datasets |
| 7:30am - 6:30pm |
Gal Chechik, Tomer Hertz, William Noble, Yanjun Qi, Jean-Philippe Vert, Alexander Zien
Machine Learning in Computational Biology |
| 7:30am - 6:30pm |
Jean-Pascal Pfister, Mate Lengyel
Normative electrophysiology: Explaining cellular properties of neurons from first principles |
| 7:30am - 6:30pm |
Marc Deisenroth, Hilbert Kappen, Emo Todorov, Duy Nguyen-Tuong, Carl Edward Rasmussen, Jan Peters
Probabilistic Approaches for Control and Robotics |
| 7:30am - 6:30pm |
Guy Lebanon, Fei Sha
Statistical Machine Learning for Visual Analytics |
| 7:30am - 6:30pm |
Simon Haykin, Terrence Sejnowski, Steven Zucker
The Curse of Dimensionality Problem: How Can the Brain Solve It? |
| 7:30am - 6:30pm |
Gert Lanckriet, Brian McFee, Francis Bach, Nathan Srebro
Understanding Multiple Kernel Learning Methods |
| 9:00 - 9:30am |
Coffee Break |
| 3:30 - 6:45pm |
Registration Desk |
| 5:00 - 5:30pm |
Coffee Break |
| Saturday, December 12 |
|---|
| 6:30 - 8:00am |
Breakfast |
| 7:00 - 11:00am |
Registration Desk |
| 7:30am - 6:30pm |
Sumit Basu, Ashish Kapoor
Analysis and Design of Algorithms for Interactive Machine Learning |
| 7:30am - 6:30pm |
Ruslan Salakhutdinov, Amir Globerson, David Sontag
Approximate Learning of Large Scale Graphical Models |
| 7:30am - 6:30pm |
Noah Goodman, Edward Vul, Tom Griffiths, Josh Tenenbaum
Bounded-rational analyses of human cognition: Bayesian models, approximate inference, and the brain |
| 7:30am - 6:30pm |
Li Deng, Dong Yu, Geoffrey Hinton
Deep Learning for Speech Recognition and Related Applications |
| 7:30am - 6:30pm |
Mauricio Alvarez, Lorenzo Rosasco, Neil Lawrence
Kernels for Multiple Outputs and Multi-task Learning: Frequentist and Bayesian Points of View |
| 7:30am - 6:30pm |
Barbara Caputo, Nicolo Cesa-Bianchi, David Hardoon, Gayle Leen, Francesco Orabona, Jaakko Peltonen, Simon Rogers
Learning from Multiple Sources with Applications to Robotics |
| 7:30am - 6:30pm |
Tiberio Caetano, Carlos Guestrin, Jonathan Huang, Risi Kondor, Guy Lebanon, Marina Meila
Learning with Orderings |
| 7:30am - 6:30pm |
Richard Baraniuk, Volkan Cevher, Mark Davenport, Piotr Indyk, Bruno Olshausen, Michael Wakin
Manifolds, sparsity, and structured models: When can low-dimensional geometry really help? |
| 7:30am - 6:30pm |
Dilan Gorur, Francois Caron, Yee Whye Teh, David Dunson, Zoubin Ghahramani, Michael Jordan
Nonparametric Bayes |
| 7:30am - 6:30pm |
Sebastian Nowozin, Suvrit Sra, S.V.N Vishwanthan, Stephen Wright
Optimization for Machine Learning |
| 7:30am - 6:30pm |
Sinno Jialin Pan, Ivor Tsang, Le Song, Karsten Borgwardt, Qiang Yang
Transfer Learning for Structured Data |
| 7:30am - 6:45pm |
Stephane Canu, Olivier Cappe, Arthur Gretton, Zaid Harchaoui, Alain Rakotomamonjy, Jean-Philippe Vert
Temporal Segmentation: Perspectives from Statistics, Machine Learning, and Signal Processing |
| 7:30am - 7:00pm |
Simon Lacoste-Julien, Percy Liang, Guillaume Bouchard
The Generative and Discriminative Learning Interface |
| 7:30am - 10:00pm |
Karl Friston, Moritz Grosse-Wentrup, Uta Noppeney, Bernhard Schölkopf
Connectivity Inference in Neuroimaging |
| 9:00 - 9:30am |
Coffee Break |
| 3:30 - 6:45pm |
Registration Desk |
| 5:00 - 5:30pm |
Coffee Break |
| 7:00 - 10:00pm |
Banquet |
