Papers
Tracking Regret Bounds for Online Submodular Optimization
Tatsuya Matsuoka, Shinji Ito, Naoto Ohsaka
Tractable contextual bandits beyond realizability
Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey
Training a Single Bandit Arm
Eren Ozbay, Vijay Kamble
Transforming Gaussian Processes With Normalizing Flows
Juan Maroñas, Oliver Hamelijnck, Jeremias Knoblauch et al.
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks
Jens Behrmann, Paul Vicol, Kuan-Chieh Wang et al.
Understanding Gradient Clipping In Incremental Gradient Methods
Jiang Qian, Yuren Wu, Bojin Zhuang et al.
Understanding Robustness in Teacher-Student Setting: A New Perspective
Zhuolin Yang, Zhaoxi Chen, Tiffany Cai et al.
Understanding the wiring evolution in differentiable neural architecture search
Sirui Xie, Shoukang Hu, Xinjiang Wang et al.
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression
Pratik Patil, Yuting Wei, Alessandro Rinaldo et al.
Unifying Clustered and Non-stationary Bandits
Chuanhao Li, Qingyun Wu, Hongning Wang
Variational Autoencoder with Learned Latent Structure
Marissa Connor, Gregory Canal, Christopher Rozell
Variational inference for nonlinear ordinary differential equations
Sanmitra Ghosh, Paul Birrell, Daniela De Angelis
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
Yu Gong, Hossein Hajimirsadeghi, Jiawei He et al.
vqSGD: Vector Quantized Stochastic Gradient Descent
Venkata Gandikota, Daniel Kane, Raj Kumar Maity et al.
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects
Qiming Du, Gérard Biau, Francois Petit et al.
When MAML Can Adapt Fast and How to Assist When It Cannot
Sébastien Arnold, Shariq Iqbal, Fei Sha
When OT meets MoM: Robust estimation of Wasserstein Distance
Guillaume Staerman, Pierre Laforgue, Pavlo Mozharovskyi et al.
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence
Ziwei Guan, Tengyu Xu, Yingbin Liang
Why did the distribution change?
Kailash Budhathoki, Dominik Janzing, Patrick Bloebaum et al.
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information
Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
Masahiro Fujisawa, Takeshi Teshima, Issei Sato et al.
Accelerated Bayesian Optimisation through Weight-Prior Tuning
Alistair Shilton, Sunil Gupta, Santu Rana et al.
Accelerated Factored Gradient Descent for Low-Rank Matrix Factorization
Dongruo Zhou, Yuan Cao, Quanquan Gu