Statistical Learning
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay Pande, Jure Leskovec
Neural Information Processing Systems http://nips.cc/
Sampled Softmax with Random Fourier Features
Ankit Singh Rawat, Jiecao Chen, Felix Xinnan X. Yu, Ananda Theertha Suresh, Sanjiv Kumar
Neural Information Processing Systems http://nips.cc/
Hierarchical Optimal Transport for Multimodal Distribution Alignment
John Lee, Max Dabagia, Eva Dyer, Christopher Rozell
Neural Information Processing Systems http://nips.cc/
Rates of Convergence for Large-scale Nearest Neighbor Classification
Xingye Qiao, Jiexin Duan, Guang Cheng
Inadditiontothememory limitation, there are other important concerns.
NEON2: Finding Local Minima via First-Order Oracles
It works both in the stochastic and the deterministic settings, without hurting the algorithm'sperformance. As applications, our reduction turns Natasha2 into a first-order method without hurting its theoretical performance. It also converts SGD, GD, SCSG, and SVRG into algorithms finding approximate local minima, outperforming some bestknownresults.
Learning Invariances using the Marginal Likelihood
Mark van der Wilk, Matthias Bauer, ST John, James Hensman
Neural Information Processing Systems http://nips.cc/