Modular Networks / Francis Bach 3D Convolutional Neural Networks / Recorded Music / Bias-Variance Trade / Partially Observable Systems / Heterogeneous Continuous Dynamic Bayesian Networks / Microsoft / /
Carlos Guestrin Finding Planted / Shlomo Zilberstein / Sajid M. Siddiqi / Emanuel Todorov Continuous-Time / Chuck Kalish Modeling / Csaba Szepesvári / Fernando De la Torre / Efficient Multiple Kernel Learning / Katherine A. Heller / Glenn Fung / Fernando De la Torre Gaussian / J. Andrew Bagnell / Aurélie Lozano / Dan Klein viii / Carlos Diuk Sequential / Ilan Rubinfeld / Ling Huang / Julien Mairal / Weston A Theoretical / Dan Goldwasser / Michael L. Littman / Kurt De Grave Mining Clustering / Mohammad Ghavamzadeh / Richard Lewis Gaussian / Raymond J. Mooney / Jean-Philippe Vert vii / Gavin Taylor / Dimitris Samaras Learning Hierarchical Riffle / Game / Max Welling / Michele Sebag Multiscale / Steffen Bickel / Michael Bowling / Regina Barzilay Detecting / Ralf Herbrich / Volker Roth Generalizing / Forward Reasoning / Carl Edward Rasmussen / Michael I. Jordan / Ron Parr / Bao-Liang Lu Learning / Remi Bardenet / Marc Toussaint Supervised / Adrian Barbu Bayesian / Hao Wang / Lawrence Carin / Yong Yu Robust / Zhi-Hua Zhou / Chris Eliasmith / Nathan Nan Liu / Vincent Ng Bottom-Up / Hsuan-Tien Lin / Michael R. Lyu / David Pfau / I. Jordan Toward / Jason Weston / Sophie Lebre / David Weiss / William W. Cohen Robust / Andreas Krause / Jeff Schneider / Thomas J. Fuchs / Jennifer G. Dy / Yang Bayesian Nonparametric / Kai Yu Accelerated / Alex Smola / Hiromi Arai Learning Deep Boltzmann / David Sontag / Richard S. Sutton Constructing / Vivek Srikumar / Joseph Harrison / Jean Ponce / Patrick E. Meyer / Christopher Raphael Climbing / Wei Ding / Marc Metivier / Tao Chen / David McAllester / P. Xing Learning Markov / Ming Yang / Sanjiv Kumar / Cliff Chiung-Yu Lin / Timothy T. Rogers / Slobodan Vucetic / Joaquin Quiñonero Candela / Hisashi Kashima One-sided / Matthias Seeger Unsupervised / Armando Fox / Irwin King / Qiang Liu / Daphne Koller / Michael R. Lyu Learning / Anil K. Jain Convergence / Ross Girshick / Claudio Gentile / Dan Roth Dynamical / Kaushik Subramanian / Bryan Silverthorn / Qiang Yang / Peter Stone / Filip Radlinski / Semi-Supervised Learning / Pedro Domingos / Tong Zhang / Michael Littman / Williamson / Mustafa Bilgic / Geoffrey Gordon / Nicholas Bartlett / Marek Sulovský Telling / Ryan Turner / Fabio Vitale / Arthur U. Asuncion / I. Jordan Particle Filtered / Nathanael Fillmore Two-Stage / Wei Xu / Wang Approximate Predictive / Mikhail M. Shashkov / Stephen Gould / Hirotaka Hachiya / Nicolas Usunier / Scott Sanner / Anthony Bonner / Bruno Scherrer / Perry R. Cook Multi-Task / Rong Jin / Tao Pham Dinh / Hisashi Kashima / Kwang-Sung Jun / Thomas L. Griffiths / I. Jordan Multiagent Inductive Learning / Pedro Domingos Bayes Optimal Multilabel / Geoffrey S. Ginsburg / Masashi Sugiyama / Aimee Zaas / Lester W. Mackey / Susan A. Murphy / Frank Wood Robust / David Patterson / Ronald R. Coifman / Eric P. Xing / Chong Wang / John Guttag Learning / Benjamin Snyder / Ivor W. Tsang / Frank Dondelinger / Shih-Fu Chang / David M. Blei / Boaz Nadler / Pedro Felzenszwalb / Csaba Szepesvari / Thomas Borchert / Alexander T. Ihler / Shih-Fu Chang Learning / Deva Ramanan Web-Scale / Bryan R. Gibson / /
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