Papers
On Compact Codes for Spatially Pooled Features
Yangqing Jia, Oriol Vinyals, Trevor Darrell
Riemannian Similarity Learning
Li Cheng
Scalable Simple Random Sampling and Stratified Sampling
Xiangrui Meng
Loss-Proportional Subsampling for Subsequent ERM
Paul Mineiro, Nikos Karampatziakis
Parameter Learning and Convergent Inference for Dense Random Fields
Philipp Kraehenbuehl, Vladlen Koltun
\proptoSVM for Learning with Label Proportions
Felix Yu, Dong Liu, Sanjiv Kumar et al.
Temporal Difference Methods for the Variance of the Reward To Go
Aviv Tamar, Dotan Di Castro, Shie Mannor
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
Cijo Jose, Prasoon Goyal, Parv Aggrwal et al.
Entropic Affinities: Properties and Efficient Numerical Computation
Max Vladymyrov, Miguel Carreira-Perpinan
That was fast! Speeding up NN search of high dimensional distributions.
Emanuele Coviello, Adeel Mumtaz, Antoni Chan et al.
Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy
Jean Honorio, Jaakkola Tommi
Non-Linear Stationary Subspace Analysis with Application to Video Classification
Mahsa Baktashmotlagh, Mehrtash Harandi, Abbas Bigdeli et al.
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions
Purushottam Kar, Bharath Sriperumbudur, Prateek Jain et al.
Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model
Ming Yang, Yingming Li, Zhongfei Zhang
Spectral Compressed Sensing via Structured Matrix Completion
Yuxin Chen, Yuejie Chi
Efficient Multi-label Classification with Many Labels
Wei Bi, James Kwok
A Local Algorithm for Finding Well-Connected Clusters
Zeyuan Allen Zhu, Silvio Lattanzi, Vahab Mirrokni
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
Kai Zhang, Vincent Zheng, Qiaojun Wang et al.
Learning Heteroscedastic Models by Convex Programming under Group Sparsity
Arnak Dalalyan, Mohamed Hebiri, Katia Meziani et al.
Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation
Sebastian Brechtel, Tobias Gindele, Rüdiger Dillmann
Planning by Prioritized Sweeping with Small Backups
Harm Van Seijen, Rich Sutton
Multi-View Clustering and Feature Learning via Structured Sparsity
Hua Wang, Feiping Nie, Heng Huang
No more pesky learning rates
Tom Schaul, Sixin Zhang, Yann LeCun
Hierarchical Tensor Decomposition of Latent Tree Graphical Models
Le Song, Mariya Ishteva, Ankur Parikh et al.