Papers
Sparse Randomized Partition Trees for Nearest Neighbor Search
Kaushik Sinha, Omid Keivani
Spatial Decompositions for Large Scale SVMs
Philipp Thomann, Ingrid Blaschzyk, Mona Meister et al.
Spectral Methods for Correlated Topic Models
Forough Arabshahi, Anima Anandkumar
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines
Atsushi Nitanda, Taiji Suzuki
Stochastic Rank-1 Bandits
Sumeet Katariya, Branislav Kveton, Csaba Szepesvari et al.
Structured adaptive and random spinners for fast machine learning computations
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski et al.
Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD)
Miaoyan Wang, Yun Song
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis
Andrew Stevens, Yunchen Pu, Yannan Sun et al.
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits
Tor Lattimore, Csaba Szepesvari
Thompson Sampling for Linear-Quadratic Control Problems
Marc Abeille, Alessandro Lazaric
Tracking Objects with Higher Order Interactions via Delayed Column Generation
Shaofei Wang, Steffen Wolf, Charless Fowlkes et al.
Trading off Rewards and Errors in Multi-Armed Bandits
Akram Erraqabi, Alessandro Lazaric, Michal Valko et al.
Unsupervised Sequential Sensor Acquisition
Manjesh Hanawal, Csaba Szepesvari, Venkatesh Saligrama
Value-Aware Loss Function for Model-based Reinforcement Learning
Amir-Massoud Farahmand, Andre Barreto, Daniel Nikovski
Accelerating Online Convex Optimization via Adaptive Prediction
Mehryar Mohri, Scott Yang
A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees
Jean-Francis Roy, Mario Marchand, François Laviolette
A Convex Surrogate Operator for General Non-Modular Loss Functions
Jiaqian Yu, Matthew Blaschko
Active Learning Algorithms for Graphical Model Selection
Gautamd Dasarathy, Aarti Singh, Maria-Florina Balcan et al.
AdaDelay: Delay Adaptive Distributed Stochastic Optimization
Suvrit Sra, Adams Wei Yu, Mu Li et al.
A Deep Generative Deconvolutional Image Model
Yunchen Pu, Win Yuan, Andrew Stevens et al.
A Fast and Reliable Policy Improvement Algorithm
Yasin Abbasi-Yadkori, Peter L. Bartlett, Stephen J. Wright
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models
Rishit Sheth, Roni Khardon
A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning
Yan Li, Han Liu, Warren Powell
A Linearly-Convergent Stochastic L-BFGS Algorithm
Philipp Moritz, Robert Nishihara, Michael Jordan