Papers
Learning Influence-Receptivity Network Structure with Guarantee
Ming Yu, Varun Gupta, Mladen Kolar
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes
Tongfei Chen, Jiri Navratil, Vijay Iyengar et al.
Projection Free Online Learning over Smooth Sets
Kfir Levy, Andreas Krause
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization
Filip Roos, Philipp Hennig
Adversarial Variational Optimization of Non-Differentiable Simulators
Gilles Louppe, Joeri Hermans, Kyle Cranmer
Black Box Quantiles for Kernel Learning
Anthony Tompkins, Ransalu Senanayake, Philippe Morere et al.
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors
Atsushi Nitanda, Taiji Suzuki
Wasserstein regularization for sparse multi-task regression
Hicham Janati, Marco Cuturi, Alexandre Gramfort
Learning Rules-First Classifiers
Deborah Cohen, Amit Daniely, Amir Globerson et al.
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling
Angelo Porrello, Davide Abati, Simone Calderara et al.
Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time
Dan Kushnir, Shirin Jalali, Iraj Saniee
A Continuous-Time View of Early Stopping for Least Squares Regression
Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features
Julius Kügelgen, Alexander Mey, Marco Loog
Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs
Philippe Wenk, Alkis Gotovos, Stefan Bauer et al.
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization
Clarice Poon, Nicolas Keriven, Gabriel Peyré
Distilling Policy Distillation
Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero et al.
Markov Properties of Discrete Determinantal Point Processes
Kayvan Sadeghi, Alessandro Rinaldo
Detection of Planted Solutions for Flat Satisfiability Problems
Quentin Berthet, Jordan Ellenberg
Infinite Task Learning in RKHSs
Romain Brault, Alex Lambert, Zoltan Szabo et al.
Restarting Frank-Wolfe
Thomas Kerdreux, Alexandre d’Aspremont, Sebastian Pokutta
Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation
Jian Zhang, Avner May, Tri Dao et al.
Feature subset selection for the multinomial logit model via mixed-integer optimization
Shunsuke Kamiya, Ryuhei Miyashiro, Yuichi Takano
From Cost-Sensitive Classification to Tight F-measure Bounds
Kevin Bascol, Rémi Emonet, Elisa Fromont et al.