Papers
Exact Recovery of Mangled Clusters with Same-Cluster Queries
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi et al.
List-Decodable Mean Estimation via Iterative Multi-Filtering
Ilias Diakonikolas, Daniel Kane, Daniel Kongsgaard
Towards Convergence Rate Analysis of Random Forests for Classification
Wei Gao, Zhi-Hua Zhou
Optimal visual search based on a model of target detectability in natural images
Shima Rashidi, Krista Ehinger, Andrew Turpin et al.
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction
Tong He, John Collomosse, Hailin Jin et al.
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang, Marinka Zitnik
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
Yi Zhou, Chenglei Wu, Zimo Li et al.
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
Jay Nandy, Wynne Hsu, Mong Li Lee
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
Hu Liu, Jing LU, Xiwei Zhao et al.
Self-Paced Deep Reinforcement Learning
Pascal Klink, Carlo D'Eramo, Jan R Peters et al.
Smoothed Analysis of Online and Differentially Private Learning
Nika Haghtalab, Tim Roughgarden, Abhishek Shetty
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
Qian Lou, Bo Feng, Geoffrey Charles Fox et al.
Causal Discovery in Physical Systems from Videos
Yunzhu Li, Antonio Torralba, Anima Anandkumar et al.
Finer Metagenomic Reconstruction via Biodiversity Optimization
Simon Foucart, David Koslicki
Towards Safe Policy Improvement for Non-Stationary MDPs
Yash Chandak, Scott Jordan, Georgios Theocharous et al.
Learnability with Indirect Supervision Signals
Kaifu Wang, Qiang Ning, Dan Roth
Myersonian Regression
Allen Liu, Renato Leme, Jon Schneider
Learning to Learn Variational Semantic Memory
Xiantong Zhen, Yingjun Du, Huan Xiong et al.
Learning Mutational Semantics
Brian Hie, Ellen Zhong, Bryan Bryson et al.
Adversarial Learning for Robust Deep Clustering
Xu Yang, Cheng Deng, Kun Wei et al.
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond
Charles Margossian, Aki Vehtari, Daniel Simpson et al.
Is Long Horizon RL More Difficult Than Short Horizon RL?
Ruosong Wang, Simon S Du, Lin Yang et al.
Matrix Completion with Hierarchical Graph Side Information
Adel Elmahdy, Junhyung Ahn, Changho Suh et al.
On Regret with Multiple Best Arms
Yinglun Zhu, Robert Nowak