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Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
Neural Information Processing Systems http://nips.cc/
Communication Bounds for the Distributed Experts Problem
For a large number of experts and days, it may not be feasible to run classical low-regret algorithms.
Bandits with Feedback Graphs and Switching Costs
Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri
Neural Information Processing Systems http://nips.cc/
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Neural Information Processing Systems http://nips.cc/
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration
Kwang-Sung Jun, Ashok Cutkosky, Francesco Orabona
Neural Information Processing Systems http://nips.cc/
REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis
Yu-Shao Peng, Kai-Fu Tang, Hsuan-Tien Lin, Edward Chang
Neural Information Processing Systems http://nips.cc/
Probabilistic Matrix Factorization for Automated Machine Learning
Nicolo Fusi, Rishit Sheth, Melih Elibol
Moreover, given the ever increasing number of machine learning models being developed, model selection is becoming increasingly important.
