NIPS: Spotlight Session 8 – GP, Kernal, Sampling, and Classification Spotlights

  • Anqi Liu, Daniel M. Steinberg, Giorgio Patrini, Michalis Titsias, Minh Ha Quang, Nagarajan Natarajan, and Thang D. Bui

G. Patrini, R. Nock, T. Caetano, P. Rivera
(Almost) No Label No Cry

O. Koyejo, N. Natarajan, P. Ravikumar, I. Dhillon
Consistent Binary Classification with Generalized Performance Metrics

D. Steinberg, E. Bonilla
Extended and Unscented Gaussian Processes

M. Titsias, C. Yau
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models

M. Ha Quang, M. San Biagio, V. Murino
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces

A. Liu, B. Ziebart
Robust Classification Under Sample Selection Bias

T. Bui, R. Turner
Tree-structured Gaussian Process Approximations

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