Papers
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
Gang Niu, Marthinus Christoffel du Plessis, Tomoya Sakai et al.
Stochastic Variational Deep Kernel Learning
Andrew G Wilson, Zhiting Hu, Ruslan Salakhutdinov et al.
Pairwise Choice Markov Chains
Stephen Ragain, Johan Ugander
Regularized Nonlinear Acceleration
Damien Scieur, Alexandre d'Aspremont, Francis Bach
Error Analysis of Generalized Nyström Kernel Regression
Hong Chen, Haifeng Xia, Heng Huang et al.
Normalized Spectral Map Synchronization
Yanyao Shen, Qixing Huang, Nati Srebro et al.
Kronecker Determinantal Point Processes
Zelda E. Mariet, Suvrit Sra
Local Minimax Complexity of Stochastic Convex Optimization
sabyasachi chatterjee, John C. Duchi, John Lafferty et al.
Brains on Beats
Umut Güçlü, Jordy Thielen, Michael Hanke et al.
Doubly Convolutional Neural Networks
Shuangfei Zhai, Yu Cheng, Zhongfei (Mark) Zhang et al.
Dimensionality Reduction of Massive Sparse Datasets Using Coresets
Dan Feldman, Mikhail Volkov, Daniela Rus
Fast Algorithms for Robust PCA via Gradient Descent
Xinyang Yi, Dohyung Park, Yudong Chen et al.
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/ε)
Yi Xu, Yan Yan, Qihang Lin et al.
On Robustness of Kernel Clustering
Bowei Yan, Purnamrita Sarkar
Learning Transferrable Representations for Unsupervised Domain Adaptation
Ozan Sener, Hyun Oh Song, Ashutosh Saxena et al.
Showing versus doing: Teaching by demonstration
Mark K Ho, Michael Littman, James MacGlashan et al.
Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games
Sougata Chaudhuri, Ambuj Tewari
Universal Correspondence Network
Christopher B Choy, JunYoung Gwak, Silvio Savarese et al.
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning
Taiji Suzuki, Heishiro Kanagawa, Hayato Kobayashi et al.
Causal Bandits: Learning Good Interventions via Causal Inference
Finnian Lattimore, Tor Lattimore, Mark D. Reid
Learning in Games: Robustness of Fast Convergence
Dylan J Foster, Zhiyuan Li, Thodoris Lykouris et al.
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu, Dilin Wang
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories
Yuan Zhao, ll Memming Park
Optimistic Bandit Convex Optimization
Scott Yang, Mehryar Mohri
Tensor Switching Networks
Chuan-Yung Tsai, Andrew M Saxe, Andrew M Saxe et al.