Papers
{Multi-Player Bandits Revisited}
Lilian Besson, Emilie Kaufmann
Learners that Use Little Information
Raef Bassily, Shay Moran, Ido Nachum et al.
Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence
Maryam Aziz, Jesse Anderton, Emilie Kaufmann et al.
Algorithmic Learning Theory ALT 2018: Preface
Mehryar Mohri, Karthik Sridharan
Dimensionality Reduced ℓ^0-Sparse Subspace Clustering
Yingzhen Yang
Bootstrapping EM via Power EM and Convergence in the Naive Bayes Model
Costis Daskalakis, Christos Tzamos, Manolis Zampetakis
A Unified Dynamic Approach to Sparse Model Selection
Chendi Huang, Yuan Yao
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments
Yanning Shen, Tianyi Chen, Georgios Giannakis
Derivative Free Optimization Via Repeated Classification
Tatsunori Hashimoto, Steve Yadlowsky, John Duchi
Probability–Revealing Samples
Krzysztof Onak, Xiaorui Sun
HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step
Yuting Ye, Lihua Lei, Cheng Ju
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning
Dong Yin, Ashwin Pananjady, Max Lam et al.
Labeled Graph Clustering via Projected Gradient Descent
Shiau Hong Lim, Gregory Calvez
Learning Hidden Quantum Markov Models
Siddarth Srinivasan, Geoff Gordon, Byron Boots
Near-Optimal Machine Teaching via Explanatory Teaching Sets
Yuxin Chen, Oisin Mac Aodha, Shihan Su et al.
Proximity Variational Inference
Jaan Altosaar, Rajesh Ranganath, David Blei
Nonparametric Bayesian sparse graph linear dynamical systems
Rahi Kalantari, Joydeep Ghosh, Mingyuan Zhou
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences
He Zhao, Piyush Rai, Lan Du et al.
Spectral Algorithms for Computing Fair Support Vector Machines
Mahbod Olfat, Anil Aswani
The emergence of spectral universality in deep networks
Jeffrey Pennington, Samuel Schoenholz, Surya Ganguli
Matrix-normal models for fMRI analysis
Michael Shvartsman, Narayanan Sundaram, Mikio Aoi et al.
Efficient Bayesian Methods for Counting Processes in Partially Observable Environments
Ferdian Jovan, Jeremy Wyatt, Nick Hawes
Online Continuous Submodular Maximization
Lin Chen, Hamed Hassani, Amin Karbasi
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap
Aryan Mokhtari, Hamed Hassani, Amin Karbasi
Scalable Hash-Based Estimation of Divergence Measures
Morteza Noshad, Alfred Hero