Papers
Distributed Sparse Multicategory Discriminant Analysis
Hengchao Chen, Qiang Sun
Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks
Yeshu Li, Zhan Shi, Xinhua Zhang et al.
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
Elvis Nava, Mojmir Mutny, Andreas Krause
Diversity and Generalization in Neural Network Ensembles
Luis A. Ortega, Rafael Cabañas, Andres Masegosa
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
Michalis Titsias, Jiaxin Shi
Doubly Mixed-Effects Gaussian Process Regression
Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim
Dropout as a Regularizer of Interaction Effects
Benjamin J. Lengerich, Eric Xing, Rich Caruana
Dual-Level Adaptive Information Filtering for Interactive Image Segmentation
Ervine Zheng, Qi Yu, Rui Li et al.
Duel-based Deep Learning system for solving IQ tests
Paulina Tomaszewska, Adam Żychowski, Jacek Mańdziuk
Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference
Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi et al.
Efficient Algorithms for Extreme Bandits
Dorian Baudry, Yoan Russac, Emilie Kaufmann
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
Harish Doddi, Deepjyoti Deka, Saurav Talukdar et al.
Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes
Augustin Chevallier, Frédéric Cazals, Paul Fearnhead
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
Giacomo Meanti, Luigi Carratino, Ernesto De Vito et al.
Efficient interventional distribution learning in the PAC framework
Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy et al.
Efficient Kernelized UCB for Contextual Bandits
Houssam Zenati, Alberto Bietti, Eustache Diemert et al.
Efficient Online Bayesian Inference for Neural Bandits
Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy
Embedded Ensembles: infinite width limit and operating regimes
Maksim Velikanov, Roman V. Kail, Ivan Anokhin et al.
Encrypted Linear Contextual Bandit
Evrard Garcelon, Matteo Pirotta, Vianney Perchet
Entropy Regularized Optimal Transport Independence Criterion
Lang Liu, Soumik Pal, Zaid Harchaoui
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms
Joshua Agterberg, Jeremias Sulam
Equivariance Discovery by Learned Parameter-Sharing
Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson et al.
Equivariant Deep Dynamical Model for Motion Prediction
Bahar Azari, Deniz Erdogmus
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression
Pratik Patil, Alessandro Rinaldo, Ryan Tibshirani
Estimators of Entropy and Information via Inference in Probabilistic Models
Feras Saad, Marco Cusumano-Towner, Vikash Mansinghka