Papers
Multisensory Encoding, Decoding, and Identification
Aurel A. Lazar, Yevgeniy Slutskiy
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
Rie Johnson, Tong Zhang
Thompson Sampling for 1-Dimensional Exponential Family Bandits
Nathaniel Korda, Emilie Kaufmann, Remi Munos
Sparse Inverse Covariance Estimation with Calibration
Tuo Zhao, Han Liu
The Randomized Dependence Coefficient
David Lopez-Paz, Philipp Hennig, Bernhard Schölkopf
Convex Two-Layer Modeling
Özlem Aslan, Hao Cheng, Xinhua Zhang et al.
PAC-Bayes-Empirical-Bernstein Inequality
Ilya O Tolstikhin, Yevgeny Seldin
A Latent Source Model for Nonparametric Time Series Classification
George H Chen, Stanislav Nikolov, Devavrat Shah
Spectral methods for neural characterization using generalized quadratic models
ll Memming Park, Evan W Archer, Nicholas Priebe et al.
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions
Ari Pakman, Liam Paninski
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses
Harish G. Ramaswamy, Shivani Agarwal, Ambuj Tewari
Moment-based Uniform Deviation Bounds for k-means and Friends
Matus J Telgarsky, Sanjoy Dasgupta
B-test: A Non-parametric, Low Variance Kernel Two-sample Test
Wojciech Zaremba, Arthur Gretton, Matthew Blaschko
Bayesian optimization explains human active search
Ali Borji, Laurent Itti
Scalable kernels for graphs with continuous attributes
Aasa Feragen, Niklas Kasenburg, Jens Petersen et al.
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
Adel Javanmard, Andrea Montanari
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Rishabh K Iyer, Jeff A. Bilmes
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis
Nikhil Rao, Christopher Cox, Rob Nowak et al.
Small-Variance Asymptotics for Hidden Markov Models
Anirban Roychowdhury, Ke Jiang, Brian Kulis
Which Space Partitioning Tree to Use for Search?
Parikshit Ram, Alexander Gray
From Bandits to Experts: A Tale of Domination and Independence
Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile et al.
Online Learning with Switching Costs and Other Adaptive Adversaries
Nicolò Cesa-Bianchi, Ofer Dekel, Ohad Shamir
Discriminative Transfer Learning with Tree-based Priors
Nitish Srivastava, Ruslan Salakhutdinov
Learning Multiple Models via Regularized Weighting
Daniel Vainsencher, Shie Mannor, Huan Xu