Papers
(Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings
Abhradeep Guha Thakurta, Adam Smith
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic
James L Sharpnack, Akshay Krishnamurthy, Aarti Singh
Near-Optimal Entrywise Sampling for Data Matrices
Dimitris Achlioptas, Zohar S Karnin, Edo Liberty
Neural representation of action sequences: how far can a simple snippet-matching model take us?
Cheston Tan, Jedediah M Singer, Thomas Serre et al.
New Subsampling Algorithms for Fast Least Squares Regression
Paramveer Dhillon, Yichao Lu, Dean P. Foster et al.
Noise-Enhanced Associative Memories
Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi et al.
Non-Linear Domain Adaptation with Boosting
Carlos J Becker, Christos M Christoudias, Pascal Fua
Nonparametric Multi-group Membership Model for Dynamic Networks
Myunghwan Kim, Jure Leskovec
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
Francis Bach, Eric Moulines
Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty
Haichao Zhang, David Wipf
On Algorithms for Sparse Multi-factor NMF
Siwei Lyu, Xin Wang
On Decomposing the Proximal Map
Yao-Liang Yu
One-shot learning and big data with n=2
Lee H Dicker, Dean P. Foster
One-shot learning by inverting a compositional causal process
Brenden M Lake, Ruslan Salakhutdinov, Josh Tenenbaum
On Flat versus Hierarchical Classification in Large-Scale Taxonomies
Rohit Babbar, Ioannis Partalas, Eric Gaussier et al.
Online learning in episodic Markovian decision processes by relative entropy policy search
Alexander Zimin, Gergely Neu
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Yasin Abbasi Yadkori, Peter L Bartlett, Varun Kanade et al.
Online Learning of Dynamic Parameters in Social Networks
Shahin Shahrampour, Sasha Rakhlin, Ali Jadbabaie
Online Learning with Costly Features and Labels
Navid Zolghadr, Gabor Bartok, Russell Greiner et al.
Online Learning with Switching Costs and Other Adaptive Adversaries
Nicolò Cesa-Bianchi, Ofer Dekel, Ohad Shamir
Online PCA for Contaminated Data
Jiashi Feng, Huan Xu, Shie Mannor et al.
Online Robust PCA via Stochastic Optimization
Jiashi Feng, Huan Xu, Shuicheng Yan
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking
Ryan D Turner, Steven Bottone, Clay J Stanek
On model selection consistency of penalized M-estimators: a geometric theory
Jason Lee, Yuekai Sun, Jonathan E Taylor