Papers
Minimizing Dynamic Regret and Adaptive Regret Simultaneously
Lijun Zhang, Shiyin Lu, Tianbao Yang
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach
Nan Lu, Tianyi Zhang, Gang Niu et al.
Mixed Strategies for Robust Optimization of Unknown Objectives
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour et al.
Model-Agnostic Counterfactual Explanations for Consequential Decisions
Amir-Hossein Karimi, Gilles Barthe, Borja Balle et al.
Modular Block-diagonal Curvature Approximations for Feedforward Architectures
Felix Dangel, Stefan Harmeling, Philipp Hennig
Momentum in Reinforcement Learning
Nino Vieillard, Bruno Scherrer, Olivier Pietquin et al.
Monotonic Gaussian Process Flows
Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek et al.
More Powerful Selective Kernel Tests for Feature Selection
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum et al.
Multi-attribute Bayesian optimization with interactive preference learning
Raul Astudillo, Peter Frazier
Multi-level Gaussian Graphical Models Conditional on Covariates
Gi Bum Kim, Seyoung Kim
Multiplicative Gaussian Particle Filter
Xuan Su, Wee Sun Lee, Zhen Zhang
Naive Feature Selection: Sparsity in Naive Bayes
Armin Askari, Alexandre d’Aspremont, Laurent El Ghaoui
Nested-Wasserstein Self-Imitation Learning for Sequence Generation
Ruiyi Zhang, Changyou Chen, Zhe Gan et al.
Neural Decomposition: Functional ANOVA with Variational Autoencoders
Kaspar Märtens, Christopher Yau
Neural Topic Model with Attention for Supervised Learning
Xinyi Wang, YI YANG
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
Lukas Fröhlich, Edgar Klenske, Julia Vinogradska et al.
Non-exchangeable feature allocation models with sublinear growth of the feature sizes
Giuseppe Di Benedetto, Francois Caron, Yee Whye Teh
Nonmyopic Gaussian Process Optimization with Macro-Actions
Dmitrii Kharkovskii, Chun Kai Ling, Bryan Kian Hsiang Low
Non-Parametric Calibration for Classification
Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel)
Nonparametric Estimation in the Dynamic Bradley-Terry Model
Heejong Bong, Wanshan Li, Shamindra Shrotriya et al.
Obfuscation via Information Density Estimation
Hsiang Hsu, Shahab Asoodeh, Flavio Calmon
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems
Sharan Vaswani, Abbas Mehrabian, Audrey Durand et al.
On casting importance weighted autoencoder to an EM algorithm to learn deep generative models
Dongha Kim, Jaesung Hwang, Yongdai Kim