Papers
4,025 papers found
Multi-level Gaussian Graphical Models Conditional on Covariates
Gi Bum Kim, Seyoung Kim
Multiplicative Gaussian Particle Filter
Xuan Su, Wee Sun Lee, Zhen Zhang
Naive Feature Selection: Sparsity in Naive Bayes
Armin Askari, Alexandre d’Aspremont, Laurent El Ghaoui
Nested-Wasserstein Self-Imitation Learning for Sequence Generation
Ruiyi Zhang, Changyou Chen, Zhe Gan et al.
Neural Decomposition: Functional ANOVA with Variational Autoencoders
Kaspar Märtens, Christopher Yau
Neural Topic Model with Attention for Supervised Learning
Xinyi Wang, YI YANG
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
Lukas Fröhlich, Edgar Klenske, Julia Vinogradska et al.
Non-exchangeable feature allocation models with sublinear growth of the feature sizes
Giuseppe Di Benedetto, Francois Caron, Yee Whye Teh
Nonmyopic Gaussian Process Optimization with Macro-Actions
Dmitrii Kharkovskii, Chun Kai Ling, Bryan Kian Hsiang Low
Non-Parametric Calibration for Classification
Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel)
Nonparametric Estimation in the Dynamic Bradley-Terry Model
Heejong Bong, Wanshan Li, Shamindra Shrotriya et al.
Obfuscation via Information Density Estimation
Hsiang Hsu, Shahab Asoodeh, Flavio Calmon
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems
Sharan Vaswani, Abbas Mehrabian, Audrey Durand et al.
On casting importance weighted autoencoder to an EM algorithm to learn deep generative models
Dongha Kim, Jaesung Hwang, Yongdai Kim
One Sample Stochastic Frank-Wolfe
Mingrui Zhang, Zebang Shen, Aryan Mokhtari et al.
On Generalization Bounds of a Family of Recurrent Neural Networks
Minshuo Chen, Xingguo Li, Tuo Zhao
Online Batch Decision-Making with High-Dimensional Covariates
Chi-Hua Wang, Guang Cheng
Online Binary Space Partitioning Forests
Xuhui Fan, Bin Li, Scott SIsson
Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints
Omid Sadeghi, Maryam Fazel
Online Convex Optimization with Perturbed Constraints: Optimal Rates against Stronger Benchmarks
Victor Valls, George Iosifidis, Douglas Leith et al.
Online Learning Using Only Peer Prediction
Yang Liu, Dave Helmbold
Online Learning with Continuous Variations: Dynamic Regret and Reductions
Ching-An Cheng, Jonathan Lee, Ken Goldberg et al.