Papers
Probabilistic Belief Revision with Structural Constraints
Peter Jones, Venkatesh Saligrama, Sanjoy Mitter
Near-Optimal Bayesian Active Learning with Noisy Observations
Daniel Golovin, Andreas Krause, Debajyoti Ray
Size Matters: Metric Visual Search Constraints from Monocular Metadata
Mario Fritz, Kate Saenko, Trevor Darrell
Identifying graph-structured activation patterns in networks
James Sharpnack, Aarti Singh
MAP Estimation for Graphical Models by Likelihood Maximization
Akshat Kumar, Shlomo Zilberstein
Empirical Risk Minimization with Approximations of Probabilistic Grammars
Noah A. Smith, Shay B. Cohen
Distributionally Robust Markov Decision Processes
Huan Xu, Shie Mannor
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics
Kanaka Rajan, L Abbott, Haim Sompolinsky
Supervised Clustering
Pranjal Awasthi, Reza B. Zadeh
Universal Consistency of Multi-Class Support Vector Classification
Tobias Glasmachers
Reward Design via Online Gradient Ascent
Jonathan Sorg, Richard L. Lewis, Satinder P. Singh
Using body-anchored priors for identifying actions in single images
Leonid Karlinsky, Michael Dinerstein, Shimon Ullman
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
Li-jia Li, Hao Su, Li Fei-fei et al.
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains
Martha White, Adam White
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks
Kentaro Katahira, Kazuo Okanoya, Masato Okada
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation
Mathieu Salzmann, Raquel Urtasun
Boosting Classifier Cascades
Nuno Vasconcelos, Mohammad J. Saberian
The Multidimensional Wisdom of Crowds
Peter Welinder, Steve Branson, Pietro Perona et al.
Short-term memory in neuronal networks through dynamical compressed sensing
Surya Ganguli, Haim Sompolinsky
Convex Multiple-Instance Learning by Estimating Likelihood Ratio
Fuxin Li, Cristian Sminchisescu
Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers
Manas Pathak, Shantanu Rane, Bhiksha Raj
Getting lost in space: Large sample analysis of the resistance distance
Ulrike V. Luxburg, Agnes Radl, Matthias Hein
Why are some word orders more common than others? A uniform information density account
Luke Maurits, Dan Navarro, Amy Perfors
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates
Ken Takiyama, Masato Okada
Repeated Games against Budgeted Adversaries
Jacob D. Abernethy, Manfred K. Warmuth