Papers
Preference-based Teaching of Unions of Geometric Objects
Ziyuan Gao, David Kirkpatrick, Christoph Ries et al.
Boundary Crossing for General Exponential Families
Odalric-Ambrym Maillard
Automatic Learning from Repetitive Texts
Rupert Hölzl, Sanjay Jain, Philipp Schlicht et al.
Non-Adaptive Randomized Algorithm for Group Testing
Nader H. Bshouty, Nuha Diab, Shada R. Kawar et al.
Erasing Pattern Languages Distinguishable by a Finite Number of Strings
Fahimeh Bayeh, Ziyuan Gao, Sandra Zilles
Universality of Bayesian mixture predictors
Daniil Ryabko
Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours
Henry W. J. Reeve, Gavin Brown
Algorithmic Learning Theory (ALT) 2017: Preface
Steve Hanneke, Lev Reyzin
Scalable Greedy Feature Selection via Weak Submodularity
Rajiv Khanna, Ethan Elenberg, Alex Dimakis et al.
Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain
Xiangru Huang, Ian En-Hsu Yen, Ruohan Zhang et al.
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models
Ankit Anand, Ritesh Noothigattu, Parag Singla et al.
Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions
Asish Ghoshal, Jean Honorio
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition
Jiong Zhang, Ian En-Hsu Yen, Pradeep Ravikumar et al.
Automated Inference with Adaptive Batches
Soham De, Abhay Yadav, David Jacobs et al.
Convergence Rate of Stochastic k-means
Cheng Tang, Claire Monteleoni
Value-Aware Loss Function for Model-based Reinforcement Learning
Amir-Massoud Farahmand, Andre Barreto, Daniel Nikovski
A Maximum Matching Algorithm for Basis Selection in Spectral Learning
Ariadna Quattoni, Xavier Carreras, Matthias Gallé
Sequential Multiple Hypothesis Testing with Type I Error Control
Alan Malek, Sumeet Katariya, Yinlam Chow et al.
Learning from Conditional Distributions via Dual Embeddings
Bo Dai, Niao He, Yunpeng Pan et al.
Label Filters for Large Scale Multilabel Classification
Alexandru Niculescu-Mizil, Ehsan Abbasnejad
Spectral Methods for Correlated Topic Models
Forough Arabshahi, Anima Anandkumar
Distributed Adaptive Sampling for Kernel Matrix Approximation
Daniele Calandriello, Alessandro Lazaric, Michal Valko