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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Incremental Natural Actor-Critic Algorithms
Shalabh Bhatnagar · Rich Sutton · Mohammad Ghavamzadeh · Mark P Lee
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Fitted Q-iteration in continuous action-space MDPs
Remi Munos · András Antos · Csaba Szepesvari
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Regularized Boost for Semi-Supervised Learning
Ke Chen · Shihai Wang
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
Gerald Tesauro · Rajarshi Das · Hoi Chan · Jeffrey O Kephart · David Levine · Freeman Rawson · Charles Lefurgy
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Variational inference for Markov jump processes
Manfred Opper · Guido Sanguinetti
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
A general agnostic active learning algorithm
Sanjoy Dasgupta · Daniel Hsu · Claire Monteleoni
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Testing for Homogeneity with Kernel Fisher Discriminant Analysis
Zaid Harchaoui · Francis Bach · Moulines Eric
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Random Features for Large-Scale Kernel Machines
ali rahimi · Benjamin Recht
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Robust Regression with Twinned Gaussian Processes
Andrew Naish-Guzman · Sean B Holden
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach
José Miguel Hernández-Lobato · Tjeerd M Dijkstra · Tom Heskes
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
Maryam Mahdaviani · Tanzeem Choudhury
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
Masashi Sugiyama · Shinichi Nakajima · Hisashi Kashima · Paul von Buenau · Motoaki Kawanabe
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Bundle Methods for Machine Learning
Alex Smola · Vishwanathan S V N · Quoc V Le
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Classification via Minimum Incremental Coding Length (MICL)
John Wright · Yangyu Tao · Zhouchen Lin · Yi Ma · Heung-Yeung Shum
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
A Kernel Statistical Test of Independence
Arthur Gretton · Kenji Fukumizu · Choon Hui Teo · Le Song · Bernhard Schölkopf · Alex Smola
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Catching Up Faster in Bayesian Model Selection and Model Averaging
Tim van Erven · Peter Grünwald · Steven de Rooij
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Density Estimation under Independent Similarly Distributed Sampling Assumptions
Tony Jebara · Yingbo Song · Kapil Thadani
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Probabilistic Matrix Factorization
Russ Salakhutdinov · Andriy Mnih
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
SpAM: Sparse Additive Models
Pradeep Ravikumar · Han Liu · John Lafferty · Larry Wasserman
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Temporal Difference with Eligibility Traces Derived from First Principles
Marcus Hutter · Shane Legg
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
FilterBoost: Regression and Classification on Large Datasets
Joseph K Bradley · Robert E Schapire
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Semi-Supervised Multitask Learning
Qiuhua Liu · Xuejun Liao · Lawrence Carin
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Predictive Matrix-Variate t Models
Shenghuo Zhu · Kai Yu · Yihong Gong
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Sparse Overcomplete Latent Variable Decomposition of Counts Data
Madhusudana Shashanka · Bhiksha Raj · Paris Smaragdis
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
The Generalized FITC Approximation
Andrew Naish-Guzman · Sean B Holden
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Message Passing for Max-weight Independent Set
Sujay Sanghavi · Devavrat Shah · Alan S Willsky
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Colored Maximum Variance Unfolding
Le Song · Alex Smola · Karsten Borgwardt · Arthur Gretton
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Cluster Stability for Finite Samples
Ohad Shamir · Naftali Tishby
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Anytime Induction of Cost-sensitive Trees
Saher Esmeir · Shaul Markovitch
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Collapsed Variational Inference for HDP
Yee Whye Teh · Kenichi Kurihara · Max Welling
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Selecting Observations against Adversarial Objectives
Andreas Krause · H. Brendan McMahan · Carlos Guestrin · Anupam Gupta
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
A Risk Minimization Principle for a Class of Parzen Estimators
Kristiaan Pelckmans · Johan Suykens · Bart De Moor
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Gaussian Process Models for Link Analysis and Transfer Learning
Kai Yu · Wei Chu
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
Zhaohui Zheng · Hongyuan Zha · Tong Zhang · Olivier Chapelle · Keke Chen · Gordon Sun
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
The Price of Bandit Information for Online Optimization
Varsha Dani · Thomas P Hayes · Sham M Kakade
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
A Randomized Algorithm for Large Scale Support Vector Learning
Krishnan S Kumar · Chiranjib Bhattacharyya · Ramesh Hariharan
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
The Infinite Gamma-Poisson Feature Model
Michalis Titsias
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Infinite State Bayes-Nets for Structured Domains
Max Welling · Ian Porteous · Evgeniy Bart
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
DIFFRAC: a discriminative and flexible framework for clustering
Francis Bach · Zaid Harchaoui
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
A Multiplicative Weights Algorithm for Apprenticeship Learning
Umar Syed · Robert E Schapire
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Consistent Minimization of Clustering Objective Functions
Ulrike von Luxburg · Sebastien Bubeck · Stefanie S Jegelka · Michael Kaufmann
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Adaptive Online Gradient Descent
Peter Bartlett · Elad Hazan · Sasha Rakhlin
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Scene Segmentation with CRFs Learned from Partially Labeled Images
Jakob Verbeek · Bill Triggs
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Hierarchical Penalization
Marie Szafranski · Yves Grandvalet · Pierre Morizet-Mahoudeaux
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
New Outer Bounds on the Marginal Polytope
David Sontag · Tommi Jaakkola
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
Markus Weimer · Alexandros Karatzoglou · Quoc V Le · Alex Smola
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Variational Inference for Diffusion Processes
Cedric Archambeau · Manfred Opper · Yuan Shen · Dan Cornford · John Shawe-Taylor
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Discriminative K-means for Clustering
Jieping Ye · Zheng Zhao · Mingrui Wu
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Heterogeneous Component Analysis
Shigeyuki Oba · Motoaki Kawanabe · Klaus-Robert Müller · Shin Ishii
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
J. Zico Kolter · Pieter Abbeel · Andrew Y Ng
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Stable Dual Dynamic Programming
Tao Wang · Dan Lizotte · Michael Bowling · Dale Schuurmans
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Privacy-Preserving Belief Propagation and Sampling
Michael Kearns · Jinsong Tan · Jenn Wortman Vaughan
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Collective Inference on Markov Models for Modeling Bird Migration
Dan Sheldon · M.A. Saleh Elmohamed · Dexter Kozen
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Alessandro Lazaric · Marcello Restelli · Andrea Bonarini
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Boosting Algorithms for Maximizing the Soft Margin
Manfred K. Warmuth · Karen Glocer · Gunnar Rätsch
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Distributed Inference for Latent Dirichlet Allocation
David Newman · Arthur Asuncion · Padhraic Smyth · Max Welling
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Hidden Common Cause Relations in Relational Learning
Ricardo Silva · Wei Chu · Zoubin Ghahramani
[ PDF
Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
The Distribution Family of Similarity Distances
Gertjan Burghouts · Arnold Smeulders · Jan-Mark Geusebroek
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Progressive mixture rules are deviation suboptimal
Jean-Yves Audibert
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Efficient Convex Relaxation for Transductive Support Vector Machine
Zenglin Xu · Rong Jin · Jianke Zhu · Irwin King · Michael R Lyu
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Multi-Task Learning via Conic Programming
Tsuyoshi Kato · Hisashi Kashima · Masashi Sugiyama · Kiyoshi Asai
[ PDF
Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Parallelizing Support Vector Machines on Distributed Computers
Edward Y Chang · Kaihua Zhu · Hao Wang · hongjie Bai · Jian Li · Zhihuan Qiu · Hang Cui
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
On higher-order perceptron algorithms
Claudio Gentile · Fabio Vitale · Cristian Brotto
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Bayes-Adaptive POMDPs
Stephane Ross · Brahim Chaib-draa · Joelle Pineau
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting
Ping Li · Chris J Burges · Qiang Wu
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting
Michael S Gashler · Dan Ventura · Tony Martinez
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
An Analysis of Convex Relaxations for MAP Estimation
Pawan K Mudigonda · Vladimir Kolmogorov · Philip Torr
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
TrueSkill Through Time: Revisiting the History of Chess
Pierre Dangauthier · Ralf Herbrich · Tom Minka · Thore K Graepel
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
What makes some POMDP problems easy to approximate?
David Hsu · Wee Sun Lee · Nan Rong
[ PDF
Poster
Wed Dec 05 07:30 PM -- 12:00 AM (PST)
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
Andrea Lecchini-Visintini · John Lygeros · Jan Maciejowski
[ PDF