NIPS 2017 Oral Presentation - Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
Bayesian Optimization with Gradients (NIPS 2017 Oral)
Ali Rahimi's talk at NIPS(NIPS 2017 Test-of-time award presentation)
NIPS 2017 Test of Time Award "Machine learning has become alchemy.” | Ali Rahimi, Google
Deep Learning: Practice and Trends (NIPS 2017 Tutorial, parts I & II)
Presentation Video for NIPS 2017 paper
NIPS: Oral Session 4 - Jason Yosinski
NIPS: Oral Session 1 - Deeparnab Chakrabarty
Multi-Information Source Optimization - NIPS 2017
NIPS 2017: New Product Recommendation Algorithm
NIPS 2017-Variance-based Regularization with Convex Objectives
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly (NIPS Preview Video)
NIPS: Oral Session 2 - Xiangyu Wang
NIPS: Oral Session 4 - Yichuan Tang
Bayesian GAN (NIPS 2017)
Bayesian Optimization with Gradients - NIPS 2017
NIPS: Oral Session 10 - Lirong Xia
NIPS: Oral Session 2 - Anshumali Shrivastava
NIPS: Oral Session 7 - Odalric-Ambryn Maillard
NIPS 2017, Online to offline conversions, Universality & Adaptive minbatch sizes
