Papers
Best Arm Identification for Contaminated Bandits
Jason Altschuler, Victor-Emmanuel Brunel, Alan Malek
Binarsity: a penalization for one-hot encoded features in linear supervised learning
Mokhtar Z. Alaya, Simon Bussy, Stéphane Gaïffas et al.
Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping
Shao-Bo Lin, Yunwen Lei, Ding-Xuan Zhou
Causal Learning via Manifold Regularization
Steven M. Hill, Chris J. Oates, Duncan A. Blythe et al.
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction
William Herlands, Daniel B. Neill, Hannes Nickisch et al.
Characterizing the Sample Complexity of Pure Private Learners
Amos Beimel, Kobbi Nissim, Uri Stemmer
Collective Matrix Completion
Mokhtar Z. Alaya, Olga Klopp
Complete Search for Feature Selection in Decision Trees
Salvatore Ruggieri
Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems
Koulik Khamaru, Martin J. Wainwright
Convergence Rate of a Simulated Annealing Algorithm with Noisy Observations
Clément Bouttier, Ioana Gavra
DataWig: Missing Value Imputation for Tables
Felix Biessmann, Tammo Rukat, Phillipp Schmidt et al.
DBSCAN: Optimal Rates For Density-Based Cluster Estimation
Daren Wang, Xinyang Lu, Alessandro Rinaldo
Decentralized Dictionary Learning Over Time-Varying Digraphs
Amir Daneshmand, Ying Sun, Gesualdo Scutari et al.
Decontamination of Mutual Contamination Models
Julian Katz-Samuels, Gilles Blanchard, Clayton Scott
Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model
Sophie Burkhardt, Stefan Kramer
Deep Exploration via Randomized Value Functions
Ian Osband, Benjamin Van Roy, Daniel J. Russo et al.
Deep Optimal Stopping
Sebastian Becker, Patrick Cheridito, Arnulf Jentzen
Deep Reinforcement Learning for Swarm Systems
Maximilian Hüttenrauch, Adrian Šošić, Gerhard Neumann
Delay and Cooperation in Nonstochastic Bandits
Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour
Dependent relevance determination for smooth and structured sparse regression
Anqi Wu, Oluwasanmi Koyejo, Jonathan Pillow
Determinantal Point Processes for Coresets
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Determining the Number of Latent Factors in Statistical Multi-Relational Learning
Chengchun Shi, Wenbin Lu, Rui Song
Differentiable Game Mechanics
Alistair Letcher, David Balduzzi, Sébastien Racanière et al.
Differentiable reservoir computing
Lyudmila Grigoryeva, Juan-Pablo Ortega