Papers
On-Line Learning Algorithms for Path Experts with Non-Additive Losses
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri et al.
Online Learning for Adversaries with Memory: Price of Past Mistakes
Oren Anava, Elad Hazan, Shie Mannor
Online Learning of Eigenvectors
Dan Garber, Elad Hazan, Tengyu Ma
Online Learning via Sequential Complexities
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
Online Learning with Adversarial Delays
Kent Quanrud, Daniel Khashabi
Online Learning with Feedback Graphs: Beyond Bandits
Noga Alon, Nicolò Cesa-Bianchi, Ofer Dekel et al.
Online Learning with Gaussian Payoffs and Side Observations
Yifan Wu, András György, Csaba Szepesvari
Online Localization of Radio-Tagged Wildlife with an Autonomous Aerial Robot System
Oliver Cliff, Robert Fitch, Salah Sukkarieh et al.
Online Object Tracking With Proposal Selection
Yang Hua, Karteek Alahari, Cordelia Schmid
Online Optimization : Competing with Dynamic Comparators
Ali Jadbabaie, Alexander Rakhlin, Shahin Shahrampour et al.
Online PCA with Spectral Bounds
Zohar Karnin, Edo Liberty
Online Planning for Autonomous Running Jumps Over Obstacles in High-Speed Quadrupeds
Hae-Won Park, Patrick Wensing, Sangbae Kim
Online Prediction at the Limit of Zero Temperature
Mark Herbster, Stephen Pasteris, Shaona Ghosh
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach
Balázs Szörényi, Róbert Busa-Fekete, Adil Paul et al.
Online Ranking with Top-1 Feedback
Sougata Chaudhuri, Ambuj Tewari
Online Sketching Hashing
Cong Leng, Jiaxiang Wu, Jian Cheng et al.
Online Tensor Methods for Learning Latent Variable Models
Furong Huang, U. N. Niranjan, Mohammad Umar Hakeem et al.
Online Time Series Prediction with Missing Data
Oren Anava, Elad Hazan, Assaf Zeevi
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
Seunghoon Hong, Tackgeun You, Suha Kwak et al.
On Pairwise Costs for Network Flow Multi-Object Tracking
Visesh Chari, Simon Lacoste-Julien, Ivan Laptev et al.
On Semi-Supervised Linear Regression in Covariate Shift Problems
Kenneth Joseph Ryan, Mark Vere Culp
On some provably correct cases of variational inference for topic models
Pranjal Awasthi, Andrej Risteski
On Statistical Analysis of Neuroimages With Imperfect Registration
Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson et al.
On Symmetric and Asymmetric LSHs for Inner Product Search
Behnam Neyshabur, Nathan Srebro
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence
Nathaniel Korda, Prashanth La