Papers
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra et al.
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose
Danhang Tang, Jonathan Taylor, Pushmeet Kohli et al.
Open Problem: Learning Quantum Circuits with Queries
Jeremy Kun, Lev Reyzin
Open Problem: Online Sabotaged Shortest Path
Wouter M. Koolen, Manfred K. Warmuth, Dmitri Adamskiy
Open Problem: Recursive Teaching Dimension Versus VC Dimension
Hans U. Simon, Sandra Zilles
Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs
Arindam Banerjee, Sheng Chen, Vidyashankar Sivakumar
Open Problem: The landscape of the loss surfaces of multilayer networks
Anna Choromanska, Yann LeCun, Gérard Ben Arous
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.