Papers
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform
Yichao Lu, Paramveer Dhillon, Dean P. Foster et al.
Reservoir Boosting : Between Online and Offline Ensemble Learning
Leonidas Lefakis, François Fleuret
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering
Shinichi Nakajima, Akiko Takeda, S. Derin Babacan et al.
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms
Adrien Todeschini, François Caron, Marie Chavent
Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions
Eftychios A Pnevmatikakis, Liam Paninski
Compressive Feature Learning
Hristo S Paskov, Robert West, John C Mitchell et al.
Reflection methods for user-friendly submodular optimization
Stefanie Jegelka, Francis Bach, Suvrit Sra
Modeling Overlapping Communities with Node Popularities
Prem Gopalan, Chong Wang, David Blei
Inverse Density as an Inverse Problem: the Fredholm Equation Approach
Qichao Que, Mikhail Belkin
Low-rank matrix reconstruction and clustering via approximate message passing
Ryosuke Matsushita, Toshiyuki Tanaka
Projecting Ising Model Parameters for Fast Mixing
Justin Domke, Xianghang Liu
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
Barbara Rakitsch, Christoph Lippert, Karsten Borgwardt et al.
Distributed Exploration in Multi-Armed Bandits
Eshcar Hillel, Zohar S Karnin, Tomer Koren et al.
Reward Mapping for Transfer in Long-Lived Agents
Xiaoxiao Guo, Satinder Singh, Richard L. Lewis
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation
John Duchi, Martin J. Wainwright, Michael I Jordan
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio, Li Yao, Guillaume Alain et al.
Parametric Task Learning
Ichiro Takeuchi, Tatsuya Hongo, Masashi Sugiyama et al.
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture
Trevor Campbell, Miao Liu, Brian Kulis et al.
Estimating the Unseen: Improved Estimators for Entropy and other Properties
Paul Valiant, Gregory Valiant
RNADE: The real-valued neural autoregressive density-estimator
Benigno Uria, Iain Murray, Hugo Larochelle
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking
Ryan D Turner, Steven Bottone, Clay J Stanek
Large Scale Distributed Sparse Precision Estimation
Huahua Wang, Arindam Banerjee, Cho-Jui Hsieh et al.
One-shot learning by inverting a compositional causal process
Brenden M Lake, Ruslan Salakhutdinov, Josh Tenenbaum
Streaming Variational Bayes
Tamara Broderick, Nicholas Boyd, Andre Wibisono et al.
Approximate Inference in Continuous Determinantal Processes
Raja Hafiz Affandi, Emily B. Fox, Ben Taskar