Papers
On Mixtures of Markov Chains
Rishi Gupta, Ravi Kumar, Sergei Vassilvitskii
On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu, Saizheng Zhang, Ying Zhang et al.
On Regularizing Rademacher Observation Losses
Richard Nock
On Robustness of Kernel Clustering
Bowei Yan, Purnamrita Sarkar
On the Recursive Teaching Dimension of VC Classes
Xi Chen, Xi Chen, Yu Cheng et al.
On Valid Optimal Assignment Kernels and Applications to Graph Classification
Nils M. Kriege, Pierre-Louis Giscard, Richard Wilson
Operator Variational Inference
Rajesh Ranganath, Dustin Tran, Jaan Altosaar et al.
Optimal Architectures in a Solvable Model of Deep Networks
Jonathan Kadmon, Haim Sompolinsky
Optimal Binary Classifier Aggregation for General Losses
Akshay Balsubramani, Yoav S Freund
Optimal Black-Box Reductions Between Optimization Objectives
Zeyuan Allen-Zhu, Elad Hazan
Optimal Cluster Recovery in the Labeled Stochastic Block Model
Se-Young Yun, Alexandre Proutiere
Optimal Learning for Multi-pass Stochastic Gradient Methods
Junhong Lin, Lorenzo Rosasco
Optimal Sparse Linear Encoders and Sparse PCA
Malik Magdon-Ismail, Christos Boutsidis
Optimal spectral transportation with application to music transcription
Rémi Flamary, Cédric Févotte, Nicolas Courty et al.
Optimal Tagging with Markov Chain Optimization
Nir Rosenfeld, Amir Globerson
Optimistic Bandit Convex Optimization
Scott Yang, Mehryar Mohri
Optimistic Gittins Indices
Eli Gutin, Vivek Farias
Optimizing affinity-based binary hashing using auxiliary coordinates
Ramin Raziperchikolaei, Miguel A. Carreira-Perpinan
Orthogonal Random Features
Felix Xinnan X Yu, Ananda Theertha Suresh, Krzysztof M Choromanski et al.
PAC-Bayesian Theory Meets Bayesian Inference
Pascal Germain, Francis Bach, Alexandre Lacoste et al.
PAC Reinforcement Learning with Rich Observations
Akshay Krishnamurthy, Alekh Agarwal, John Langford
Pairwise Choice Markov Chains
Stephen Ragain, Johan Ugander
Parameter Learning for Log-supermodular Distributions
Tatiana Shpakova, Francis Bach
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations
Behnam Neyshabur, Yuhuai Wu, Ruslan Salakhutdinov et al.
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Mikhail Figurnov, Aizhan Ibraimova, Dmitry P Vetrov et al.