Papers
Open Problem: Adversarial Multiarmed Bandits with Limited Advice
Yevgeny Seldin, Koby Crammer, Peter Bartlett
Open Problem: Lower bounds for Boosting with Hadamard Matrices
Jiazhong Nie, Manfred K. Warmuth, S.V.N. Vishwanathan et al.
Opportunistic Strategies for Generalized No-Regret Problems
Andrey Bernstein, Shie Mannor, Nahum Shimkin
Optical Flow Estimation Using Laplacian Mesh Energy
Wenbin Li, Darren Cosker, Matthew Brown et al.
Optical Flow via Locally Adaptive Fusion of Complementary Data Costs
Tae Hyun Kim, Hee Seok Lee, Kyoung Mu Lee
Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality
Sébastien Bubeck, Damien Ernst, Aurélien Garivier
Optimal Geometric Fitting under the Truncated L2-Norm
Erik Ask, Olof Enqvist, Fredrik Kahl
Optimal integration of visual speed across different spatiotemporal frequency channels
Matjaz Jogan, Alan Stocker
Optimally Fuzzy Temporal Memory
Karthik H. Shankar, Marc W. Howard
Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing
Lantao Liu, Dylan Shell
Optimal Neural Population Codes for High-dimensional Stimulus Variables
Zhuo Wang, Alan Stocker, Daniel D Lee
Optimal Orthogonal Basis and Image Assimilation: Motion Modeling
Etienne Huot, Giuseppe Papari, Isabelle Herlin
Optimal Probability Estimation with Applications to Prediction and Classification
Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky et al.
Optimal rates for stochastic convex optimization under Tsybakov noise condition
Aaditya Ramdas, Aarti Singh
Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning
Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner et al.
Optimistic Concurrency Control for Distributed Unsupervised Learning
Xinghao Pan, Joseph E Gonzalez, Stefanie Jegelka et al.
Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing
Xi Chen, Qihang Lin, Dengyong Zhou
Optimization, Learning, and Games with Predictable Sequences
Sasha Rakhlin, Karthik Sridharan
Optimization Problems for Fast AAM Fitting in-the-Wild
Georgios Tzimiropoulos, Maja Pantic
Optimization with First-Order Surrogate Functions
Julien Mairal
Optimized Pedestrian Detection for Multiple and Occluded People
Sitapa Rujikietgumjorn, Robert T. Collins
Optimized Product Quantization for Approximate Nearest Neighbor Search
Tiezheng Ge, Kaiming He, Qifa Ke et al.
Optimizing 1-Nearest Prototype Classifiers
Paul Wohlhart, Martin Kostinger, Michael Donoser et al.