Papers
8,340 papers found
Stochastic Gradient Hamiltonian Monte Carlo
Tianqi Chen, Emily Fox, Carlos Guestrin
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices
Jose Miguel Hernandez-Lobato, Neil Houlsby, Zoubin Ghahramani
Stochastic Neighbor Compression
Matt Kusner, Stephen Tyree, Kilian Weinberger et al.
Stochastic Variational Inference for Bayesian Time Series Models
Matthew Johnson, Alan Willsky
Structured Generative Models of Natural Source Code
Chris Maddison, Daniel Tarlow
Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing
Benjamin Haeffele, Eric Young, Rene Vidal
Structured Prediction of Network Response
Hongyu Su, Aristides Gionis, Juho Rousu
Structured Recurrent Temporal Restricted Boltzmann Machines
Roni Mittelman, Benjamin Kuipers, Silvio Savarese et al.
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
Alekh Agarwal, Daniel Hsu, Satyen Kale et al.
The Coherent Loss Function for Classification
Wenzhuo Yang, Melvyn Sim, Huan Xu
The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation
Sven Kurras, Ulrike Luxburg, Gilles Blanchard
The Falling Factorial Basis and Its Statistical Applications
Yu-Xiang Wang, Alex Smola, Ryan Tibshirani
The Inverse Regression Topic Model
Maxim Rabinovich, David Blei
Thompson Sampling for Complex Online Problems
Aditya Gopalan, Shie Mannor, Yishay Mansour
Time-Regularized Interrupting Options (TRIO)
Timothy Mann, Daniel Mankowitz, Shie Mannor
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data
Zhiyuan Chen, Bing Liu
Towards an optimal stochastic alternating direction method of multipliers
Samaneh Azadi, Suvrit Sra
Towards End-To-End Speech Recognition with Recurrent Neural Networks
Alex Graves, Navdeep Jaitly
Towards Minimax Online Learning with Unknown Time Horizon
Haipeng Luo, Robert Schapire
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach
Rémi Bardenet, Arnaud Doucet, Chris Holmes
Tracking Adversarial Targets
Yasin Abbasi-Yadkori, Peter Bartlett, Varun Kanade
Transductive Learning with Multi-class Volume Approximation
Gang Niu, Bo Dai, Christoffel Plessis et al.
True Online TD(lambda)
Harm Seijen, Rich Sutton
Two-Stage Metric Learning
Jun Wang, Ke Sun, Fei Sha et al.
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models
Robert McGibbon, Bharath Ramsundar, Mohammad Sultan et al.