Papers
Efficient Optimization for Sparse Gaussian Process Regression
Yanshuai Cao, Marcus A Brubaker, David J Fleet et al.
Eluder Dimension and the Sample Complexity of Optimistic Exploration
Daniel Russo, Benjamin Van Roy
Embed and Project: Discrete Sampling with Universal Hashing
Stefano Ermon, Carla P. Gomes, Ashish Sabharwal et al.
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion
Franz Kiraly, Louis Theran
Estimating LASSO Risk and Noise Level
Mohsen Bayati, Murat A Erdogdu, Andrea Montanari
Estimating the Unseen: Improved Estimators for Entropy and other Properties
Paul Valiant, Gregory Valiant
Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising
Min Xu, Tao Qin, Tie-Yan Liu
Estimation, Optimization, and Parallelism when Data is Sparse
John Duchi, Michael I Jordan, Brendan McMahan
Exact and Stable Recovery of Pairwise Interaction Tensors
Shouyuan Chen, Michael R Lyu, Irwin King et al.
Extracting regions of interest from biological images with convolutional sparse block coding
Marius Pachitariu, Adam M Packer, Noah Pettit et al.
Factorized Asymptotic Bayesian Inference for Latent Feature Models
Kohei Hayashi, Ryohei Fujimaki
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA
Vincent Q. Vu, Juhee Cho, Jing Lei et al.
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis
James R Voss, Luis Rademacher, Mikhail Belkin
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform
Yichao Lu, Paramveer Dhillon, Dean P. Foster et al.
Fast Template Evaluation with Vector Quantization
Mohammad Amin Sadeghi, David Forsyth
Firing rate predictions in optimal balanced networks
David G Barrett, Sophie Denève, Christian K. Machens
First-order Decomposition Trees
Nima Taghipour, Jesse Davis, Hendrik Blockeel
Flexible sampling of discrete data correlations without the marginal distributions
Alfredo Kalaitzis, Ricardo Silva
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting
Shunan Zhang, Angela J. Yu
From Bandits to Experts: A Tale of Domination and Independence
Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile et al.
Gaussian Process Conditional Copulas with Applications to Financial Time Series
José Miguel Hernández-Lobato, James R Lloyd, Daniel Hernández-Lobato
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio, Li Yao, Guillaume Alain et al.
Generalized Method-of-Moments for Rank Aggregation
Hossein Azari Soufiani, William Chen, David C. Parkes et al.
Generalized Random Utility Models with Multiple Types
Hossein Azari Soufiani, Hansheng Diao, Zhenyu Lai et al.