Papers
176,624 papers found
On the Equivalence of Moving Entrance Pupil and Radial Distortion for Camera Calibration
Avinash Kumar, Narendra Ahuja
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien, Martin Jaggi
On the hardness of unlabeled multi-robot motion planning
Kiril Solovey, Dan Halperin
On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives
Sashank Reddi, Aaditya Ramdas, Barnabas Poczos et al.
On the Inductive Bias of Dropout
David P. Helmbold, Philip M. Long
On-the-Job Learning with Bayesian Decision Theory
Keenon Werling, Arun Tejasvi Chaganty, Percy Liang et al.
On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors
Andrea Montanari, Daniel Reichman, Ofer Zeitouni
On the Minimal Problems of Low-Rank Matrix Factorization
Fangyuan Jiang, Magnus Oskarsson, Kalle Astrom
On the Optimality of Classifier Chain for Multi-label Classification
Weiwei Liu, Ivor Tsang
On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property
Maxime Gasse, Alexandre Aussem, Haytham Elghazel
On Theoretical Properties of Sum-Product Networks
Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf et al.
On the Pseudo-Dimension of Nearly Optimal Auctions
Jamie H Morgenstern, Tim Roughgarden
On the Rate of Convergence and Error Bounds for LSTD(λ)
Manel Tagorti, Bruno Scherrer
On the Relationship between Sum-Product Networks and Bayesian Networks
Han Zhao, Mazen Melibari, Pascal Poupart
On the Relationship Between Visual Attributes and Convolutional Networks
Victor Escorcia, Juan Carlos Niebles, Bernard Ghanem
On the Visibility of Point Clouds
Sagi Katz, Ayellet Tal
Ontological Supervision for Fine Grained Classification of Street View Storefronts
Yair Movshovitz-Attias, Qian Yu, Martin C. Stumpe et al.
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs
Wei Cao, Jian Li, Yufei Tao et al.
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