Papers
173,579 papers found
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.
Topology Constraints in Graphical Models
Marcelo Fiori, Pablo Musé, Guillermo Sapiro
Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences
Benjamin Recht, Christopher Re
Toward Information Theoretic Human-Robot Dialog
Stefanie Tellex, Pratiksha Thaker, Robin Deits et al.
Towards a learning-theoretic analysis of spike-timing dependent plasticity
David Balduzzi, Michel Besserve
Towards A Swarm of Agile Micro Quadrotors
Aleksandr Kushleyev, Vijay Kumar, Daniel Mellinger
Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies
Ioannis Tsamardinos, Sofia Triantafillou, Vincenzo Lagani
Towards Minimax Policies for Online Linear Optimization with Bandit Feedback
Sébastien Bubeck, Nicoló Cesa-Bianchi, Sham M. Kakade
Towards Persistent Localization and Mapping with a Continuous Appearance-based Topology
William Maddern, Michael Milford, Gordon Wyeth
Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries
Mikhail Belkin, Qichao Que, Yusu Wang et al.