Papers
Optimal Submodular Extensions for Marginal Estimation
Pankaj Pansari, Chris Russell, M Pawan Kumar
Outlier Detection and Robust Estimation in Nonparametric Regression
Dehan Kong, Howard Bondell, Weining Shen
Parallel and Distributed MCMC via Shepherding Distributions
Arkabandhu Chowdhury, Christopher Jermaine
Parallelised Bayesian Optimisation via Thompson Sampling
Kirthevasan Kandasamy, Akshay Krishnamurthy, Jeff Schneider et al.
Personalized and Private Peer-to-Peer Machine Learning
Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki et al.
Plug-in Estimators for Conditional Expectations and Probabilities
Steffen Grunewalder
Policy Evaluation and Optimization with Continuous Treatments
Nathan Kallus, Angela Zhou
Post Selection Inference with Kernels
Makoto Yamada, Yuta Umezu, Kenji Fukumizu et al.
Practical Bayesian optimization in the presence of outliers
Ruben Martinez-Cantin, Kevin Tee, Michael McCourt
Probability–Revealing Samples
Krzysztof Onak, Xiaorui Sun
Product Kernel Interpolation for Scalable Gaussian Processes
Jacob Gardner, Geoff Pleiss, Ruihan Wu et al.
Provable Estimation of the Number of Blocks in Block Models
Bowei Yan, Purnamrita Sarkar, Xiuyuan Cheng
Proximity Variational Inference
Jaan Altosaar, Rajesh Ranganath, David Blei
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
Tomi Silander, Janne Leppä-aho, Elias Jääsaari et al.
Random Subspace with Trees for Feature Selection Under Memory Constraints
Antonio Sutera, Célia Châtel, Gilles Louppe et al.
Random Warping Series: A Random Features Method for Time-Series Embedding
Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi et al.
Reducing Crowdsourcing to Graphon Estimation, Statistically
Devavrat Shah, Christina Lee
Regional Multi-Armed Bandits
Zhiyang Wang, Ruida Zhou, Cong Shen
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
Scott Linderman, Gonzalo Mena, Hal Cooper et al.
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis
Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra
Robust Active Label Correction
Jan Kremer, Fei Sha, Christian Igel
Robust Locally-Linear Controllable Embedding
Ershad Banijamali, Rui Shu, mohammad Ghavamzadeh et al.
Robust Maximization of Non-Submodular Objectives
Ilija Bogunovic, Junyao Zhao, Volkan Cevher
Robustness of classifiers to uniform $\ell_p$ and Gaussian noise
Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi
Robust Vertex Enumeration for Convex Hulls in High Dimensions
Pranjal Awasthi, Bahman Kalantari, Yikai Zhang