Papers
On Projective Reconstruction In Arbitrary Dimensions
Behrooz Nasihatkon, Richard Hartley, Jochen Trumpf
On Robustness and Regularization of Structural Support Vector Machines
Mohamad Ali Torkamani, Daniel Lowd
On Sparse Gaussian Chain Graph Models
Calvin McCarter, Seyoung Kim
On the Bayes-Optimality of F-Measure Maximizers
Willem Waegeman, Krzysztof Dembczyński, Arkadiusz Jachnik et al.
On the Complexity of A/B Testing
Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
On the Computational Efficiency of Training Neural Networks
Roi Livni, Shai Shalev-Shwartz, Ohad Shamir
On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems
Harish G. Ramaswamy, Balaji Srinivasan Babu, Shivani Agarwal et al.
On the convergence of no-regret learning in selfish routing
Walid Krichene, Benjamin Drighès, Alexandre Bayen
On the Convergence Rate of Decomposable Submodular Function Minimization
Robert Nishihara, Stefanie Jegelka, Michael I Jordan
On the Elements of an Accurate Tree-to-String Machine Translation System
Graham Neubig, Kevin Duh
On the Information Theoretic Limits of Learning Ising Models
Rashish Tandon, Karthikeyan Shanmugam, Pradeep K Ravikumar et al.
On the Number of Linear Regions of Deep Neural Networks
Guido F. Montufar, Razvan Pascanu, Kyunghyun Cho et al.
On the Quotient Representation for the Essential Manifold
Roberto Tron, Kostas Daniilidis
On the relations of LFPs & Neural Spike Trains
David E Carlson, Jana Schaich Borg, Kafui Dzirasa et al.
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
Harikrishna Narasimhan, Rohit Vaish, Shivani Agarwal
On the Testability of Models with Missing Data
Karthika Mohan, Judea Pearl
On WordNet Semantic Classes and Dependency Parsing
Kepa Bengoetxea, Eneko Agirre, Joakim Nivre et al.
ooDACE Toolbox: A Flexible Object-Oriented Kriging Implementation
Ivo Couckuyt, Tom Dhaene, Piet Demeester
Open Information Extraction for Spanish Language based on Syntactic Constraints
Alisa Zhila, Alexander Gelbukh
Open Problem: Efficient Online Sparse Regression
Satyen Kale
Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem
Manuel Gomez-Rodriguez, Le Song, Bernhard Schoelkopf
Open Problem: Online Local Learning
Paul Christiano
Open Problem: Shifting Experts on Easy Data
Manfred K. Warmuth, Wouter M. Koolen
Open Problem: Tensor Decompositions: Algorithms up to the Uniqueness Threshold?
Aditya Bhaskara, Moses Charikar, Ankur Moitra et al.