Papers
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.
Learning Fair Representations
Rich Zemel, Yu Wu, Kevin Swersky et al.
Unfolding Latent Tree Structures using 4th Order Tensors
Mariya Ishteva, Haesun Park, Le Song
Safe Policy Iteration
Matteo Pirotta, Marcello Restelli, Alessio Pecorino et al.
Robust and Discriminative Self-Taught Learning
Hua Wang, Feiping Nie, Heng Huang
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
Top-down particle filtering for Bayesian decision trees
Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh
Mean Reversion with a Variance Threshold
Marco Cuturi, Alexandre D’Aspremont