Papers
8,340 papers found
Near-Optimally Teaching the Crowd to Classify
Adish Singla, Ilija Bogunovic, Gabor Bartok et al.
Neural Variational Inference and Learning in Belief Networks
Andriy Mnih, Karol Gregor
Nonlinear Information-Theoretic Compressive Measurement Design
Liming Wang, Abolfazl Razi, Miguel Rodrigues et al.
Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes
Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet et al.
Nonnegative Sparse PCA with Provable Guarantees
Megasthenis Asteris, Dimitris Papailiopoulos, Alexandros Dimakis
Nonparametric Estimation of Multi-View Latent Variable Models
Le Song, Animashree Anandkumar, Bo Dai et al.
Nonparametric Estimation of Renyi Divergence and Friends
Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabas Poczos et al.
Nuclear Norm Minimization via Active Subspace Selection
Cho-Jui Hsieh, Peder Olsen
One Practical Algorithm for Both Stochastic and Adversarial Bandits
Yevgeny Seldin, Aleksandrs Slivkins
On learning to localize objects with minimal supervision
Hyun Oh Song, Ross Girshick, Stefanie Jegelka et al.
Online Bayesian Passive-Aggressive Learning
Tianlin Shi, Jun Zhu
Online Clustering of Bandits
Claudio Gentile, Shuai Li, Giovanni Zappella
Online Learning in Markov Decision Processes with Changing Cost Sequences
Travis Dick, Andras Gyorgy, Csaba Szepesvari
Online Multi-Task Learning for Policy Gradient Methods
Haitham Bou Ammar, Eric Eaton, Paul Ruvolo et al.
Online Stochastic Optimization under Correlated Bandit Feedback
Mohammad Gheshlaghi azar, Alessandro Lazaric, Emma Brunskill
On Measure Concentration of Random Maximum A-Posteriori Perturbations
Francesco Orabona, Tamir Hazan, Anand Sarwate et al.
On Modelling Non-linear Topical Dependencies
Zhixing Li, Siqiang Wen, Juanzi Li et al.
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection
Pratik Jawanpuria, Manik Varma, Saketha Nath
On Robustness and Regularization of Structural Support Vector Machines
Mohamad Ali Torkamani, Daniel Lowd
On the convergence of no-regret learning in selfish routing
Walid Krichene, Benjamin Drighès, Alexandre Bayen
Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm
Tasuku Soma, Naonori Kakimura, Kazuhiro Inaba et al.
Optimal Mean Robust Principal Component Analysis
Feiping Nie, Jianjun Yuan, Heng Huang
Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing
Yuan Zhou, Xi Chen, Jian Li
Optimization Equivalence of Divergences Improves Neighbor Embedding
Zhirong Yang, Jaakko Peltonen, Samuel Kaski
Outlier Path: A Homotopy Algorithm for Robust SVM
Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama et al.