Papers
Symmetric Correspondence Topic Models for Multilingual Text Analysis
Kosuke Fukumasu, Koji Eguchi, Eric P. Xing
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes
Jake Bouvrie, Jean-jeacques Slotine
Tendon-Driven Variable Impedance Control Using Reinforcement Learning
Eric Rombokas, Mark Malhotra, Evangelos Theodorou et al.
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs
Michael Collins, Shay B. Cohen
Testing for Membership to the IFRA and the NBU Classes of Distributions
Radhendushka Srivastava, Ping Li, Debasis Sengupta
The adversarial stochastic shortest path problem with unknown transition probabilities
Gergely Neu, Andras Gyorgy, Csaba Szepesvari
The Banana Distribution is Gaussian: A Localization Study with Exponential Coordinates
Andrew Long, Kevin Wolfe, Michael Mashner et al.
The Best of Both Worlds: Stochastic and Adversarial Bandits
Sébastien Bubeck, Aleksandrs Slivkins
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes
Simon Lyons, Amos J. Storkey, Simo Särkkä
The huge Package for High-dimensional Undirected Graph Estimation in R
Tuo Zhao, Han Liu, Kathryn Roeder et al.
The Lovász ϑ function, SVMs and finding large dense subgraphs
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya et al.
The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators
Fares Hedayati, Peter L. Bartlett
The Perturbed Variation
Maayan Harel, Shie Mannor
The representer theorem for Hilbert spaces: a necessary and sufficient condition
Francesco Dinuzzo, Bernhard Schölkopf
There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems
Ofer Dekel, Ohad Shamir
The Time-Marginalized Coalescent Prior for Hierarchical Clustering
Levi Boyles, Max Welling
The topographic unsupervised learning of natural sounds in the auditory cortex
Hiroki Terashima, Masato Okada
The variational hierarchical EM algorithm for clustering hidden Markov models
Emanuele Coviello, Gert R. Lanckriet, Antoni B. Chan
Tight Bounds on Profile Redundancy and Distinguishability
Jayadev Acharya, Hirakendu Das, Alon Orlitsky
Tight Bounds on Proper Equivalence Query Learning of DNF
Lisa Hellerstein, Devorah Kletenik, Linda Sellie et al.
Timely Object Recognition
Sergey Karayev, Tobias Baumgartner, Mario Fritz et al.
Time-Optimal Trajectory Generation for Path Following with Bounded Acceleration and Velocity
Tobias Kunz, Mike Stilman
Topic-Partitioned Multinetwork Embeddings
Peter Krafft, Juston Moore, Bruce Desmarais et al.
Topographic Analysis of Correlated Components
Hiroaki Sasaki, Michael U. Gutmann, Hayaru Shouno et al.