Papers
176,624 papers found
Optimal and Adaptive Algorithms for Online Boosting
Alina Beygelzimer, Satyen Kale, Haipeng Luo
Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior
Debdeep Pati, Anirban Bhattacharya, Guang Cheng
Optimal Estimation of Low Rank Density Matrices
Vladimir Koltchinskii, Dong Xia
Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation
Lianli Gao, Jingkuan Song, Feiping Nie et al.
Optimality of Poisson Processes Intensity Learning with Gaussian Processes
Alisa Kirichenko, Harry van Zanten
Optimal Linear Estimation under Unknown Nonlinear Transform
Xinyang Yi, Zhaoran Wang, Constantine Caramanis et al.
Optimally Combining Classifiers Using Unlabeled Data
Akshay Balsubramani, Yoav Freund
Optimal Rates for Random Fourier Features
Bharath Sriperumbudur, Zoltan Szabo
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays
Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
Optimal Ridge Detection using Coverage Risk
Yen-Chi Chen, Christopher R Genovese, Shirley Ho et al.
Optimal Robust Control for Bipedal Robots through Control Lyapunov Function based Quadratic Programs
Quan Nguyen, Koushil Sreenath
Optimal Testing for Properties of Distributions
Jayadev Acharya, Constantinos Daskalakis, Gautam Kamath
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference
Ted Meeds, Max Welling
Optimizing Expected Intersection-Over-Union With Candidate-Constrained CRFs
Faruk Ahmed, Dany Tarlow, Dhruv Batra
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
James Martens, Roger Grosse
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes
Harikrishna Narasimhan, Purushottam Kar, Prateek Jain
Optimizing the Viewing Graph for Structure-From-Motion
Chris Sweeney, Torsten Sattler, Tobias Hollerer et al.
Optimum Statistical Estimation with Strategic Data Sources
Yang Cai, Constantinos Daskalakis, Christos Papadimitriou
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models
Mrinal Das, Trapit Bansal, Chiranjib Bhattacharyya
Ordinal Mixed Membership Models
Seppo Virtanen, Mark Girolami
Oriented Edge Forests for Boundary Detection
Sam Hallman, Charless C. Fowlkes
Oriented Light-Field Windows for Scene Flow
Pratul P. Srinivasan, Michael W. Tao, Ren Ng et al.
Oriented Object Proposals
Shengfeng He, Rynson W.H. Lau
Orthogonal NMF through Subspace Exploration
Megasthenis Asteris, Dimitris Papailiopoulos, Alexandros G Dimakis