Papers
Learning Chordal Markov Networks via Branch and Bound
Kari Rantanen, Antti Hyttinen, Matti Järvisalo
Learning Efficient Object Detection Models with Knowledge Distillation
Guobin Chen, Wongun Choi, Xiang Yu et al.
Minimal Exploration in Structured Stochastic Bandits
Richard Combes, Stefan Magureanu, Alexandre Proutiere
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs
Sanjiban Choudhury, Shervin Javdani, Siddhartha Srinivasa et al.
Noise-Tolerant Interactive Learning Using Pairwise Comparisons
Yichong Xu, Hongyang Zhang, Kyle Miller et al.
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
Celestine Dünner, Thomas Parnell, Martin Jaggi
Is the Bellman residual a bad proxy?
Matthieu Geist, Bilal Piot, Olivier Pietquin
Collapsed variational Bayes for Markov jump processes
Boqian Zhang, Jiangwei Pan, Vinayak A Rao
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein, Maksym Andriushchenko
Learning Graph Representations with Embedding Propagation
Alberto Garcia Duran, Mathias Niepert
Learning ReLUs via Gradient Descent
Mahdi Soltanolkotabi
Efficient and Flexible Inference for Stochastic Systems
Stefan Bauer, Nico S Gorbach, Djordje Miladinovic et al.
Bayesian Dyadic Trees and Histograms for Regression
Stéphanie van der Pas, Veronika Ročková
Convergence of Gradient EM on Multi-component Mixture of Gaussians
Bowei Yan, Mingzhang Yin, Purnamrita Sarkar
MMD GAN: Towards Deeper Understanding of Moment Matching Network
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng et al.
Differentially private Bayesian learning on distributed data
Mikko Heikkilä, Eemil Lagerspetz, Samuel Kaski et al.
Multi-Information Source Optimization
Matthias Poloczek, Jialei Wang, Peter Frazier
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search
Luigi Acerbi, Wei Ji Ma
Tractability in Structured Probability Spaces
Arthur Choi, Yujia Shen, Adnan Darwiche
Multi-output Polynomial Networks and Factorization Machines
Mathieu Blondel, Vlad Niculae, Takuma Otsuka et al.
Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification
Muhammad Farhan, Juvaria Tariq, Arif Zaman et al.
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering
Hongteng Xu, Hongyuan Zha
Discovering Potential Correlations via Hypercontractivity
Hyeji Kim, Weihao Gao, Sreeram Kannan et al.
Identifying Outlier Arms in Multi-Armed Bandit
Honglei Zhuang, Chi Wang, Yifan Wang
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
Quentin Berthet, Vianney Perchet