Papers

4,025 papers found
2019 AISTATS
2019 AISTATS
Projection-Free Bandit Convex Optimization
Lin Chen, Mingrui Zhang, Amin Karbasi
2019 AISTATS
2019 AISTATS
Provable Robustness of ReLU networks via Maximization of Linear Regions
Francesco Croce, Maksym Andriushchenko, Matthias Hein
2019 AISTATS
Proximal Splitting Meets Variance Reduction
Fabian Pedregosa, Kilian Fatras, Mattia Casotto
2019 AISTATS
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior
Gaël Letarte, Emilie Morvant, Pascal Germain
2019 AISTATS
Recovery Guarantees For Quadratic Tensors With Sparse Observations
Hongyang Zhang, Vatsal Sharan, Moses Charikar et al.
2019 AISTATS
Region-Based Active Learning
Corinna Cortes, Giulia DeSalvo, Claudio Gentile et al.
2019 AISTATS
Regularized Contextual Bandits
Xavier Fontaine, Quentin Berthet, Vianney Perchet
2019 AISTATS
2019 AISTATS
Reparameterizing Distributions on Lie Groups
Luca Falorsi, Pim de Haan, Tim R. Davidson et al.
2019 AISTATS
Resampled Priors for Variational Autoencoders
Matthias Bauer, Andriy Mnih
2019 AISTATS
Restarting Frank-Wolfe
Thomas Kerdreux, Alexandre d’Aspremont, Sebastian Pokutta
2019 AISTATS
Reversible Jump Probabilistic Programming
David A. Roberts, Marcus Gallagher, Thomas Taimre
2019 AISTATS
Revisiting Adversarial Risk
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan et al.
2019 AISTATS
Risk-Averse Stochastic Convex Bandit
Adrian Rivera Cardoso, Huan Xu
2019 AISTATS
Risk-Sensitive Generative Adversarial Imitation Learning
Jonathan Lacotte, Mohammad Ghavamzadeh, Yinlam Chow et al.
2019 AISTATS
Robust Graph Embedding with Noisy Link Weights
Akifumi Okuno, Hidetoshi Shimodaira
2019 AISTATS
Robust Matrix Completion from Quantized Observations
Jie Shen, Pranjal Awasthi, Ping Li
2019 AISTATS