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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Testing for Homogeneity with Kernel Fisher Discriminant Analysis
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
DIFFRAC: a discriminative and flexible framework for clustering
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Sparse Overcomplete Latent Variable Decomposition of Counts Data
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Robust Regression with Twinned Gaussian Processes
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Fitted Q-iteration in continuous action-space MDPs
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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
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Gaussian Process Models for Link Analysis and Transfer Learning
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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
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Progressive mixture rules are deviation suboptimal
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
A Randomized Algorithm for Large Scale Support Vector Learning
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Temporal Difference with Eligibility Traces Derived from First Principles
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Efficient Convex Relaxation for Transductive Support Vector Machine
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Parallelizing Support Vector Machines on Distributed Computers
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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
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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
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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
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
What makes some POMDP problems easy to approximate?
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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
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Selecting Observations against Adversarial Objectives
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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
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
A Multiplicative Weights Algorithm for Apprenticeship Learning
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
The Price of Bandit Information for Online Optimization
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
FilterBoost: Regression and Classification on Large Datasets
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Classification via Minimum Incremental Coding Length (MICL)
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Privacy-Preserving Belief Propagation and Sampling
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Collective Inference on Markov Models for Modeling Bird Migration
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
An Analysis of Convex Relaxations for MAP Estimation
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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
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Boosting Algorithms for Maximizing the Soft Margin
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Consistent Minimization of Clustering Objective Functions
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
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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
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Distributed Inference for Latent Dirichlet Allocation
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Scene Segmentation with CRFs Learned from Partially Labeled Images
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
TrueSkill Through Time: Revisiting the History of Chess
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Density Estimation under Independent Similarly Distributed Sampling Assumptions
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Hidden Common Cause Relations in Relational Learning
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Poster
Tue Dec 04 10:30 AM -- 10:40 AM (PST)
Infinite State Bayes-Nets for Structured Domains
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Poster
Wed Dec 05 07:30 PM -- 12:00 AM (PST)
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
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