Papers
4,025 papers found
Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures
Mario Lucic, Olivier Bachem, Andreas Krause
Supervised Neighborhoods for Distributed Nonparametric Regression
Adam Bloniarz, Ameet Talwalkar, Bin Yu et al.
Survey Propagation beyond Constraint Satisfaction Problems
Christopher Srinivasa, Siamak Ravanbakhsh, Brendan Frey
Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
Anima Anandkumar, Prateek Jain, Yang Shi et al.
The Nonparametric Kernel Bayes Smoother
Yu Nishiyama, Amir Afsharinejad, Shunsuke Naruse et al.
Tightness of LP Relaxations for Almost Balanced Models
Adrian Weller, Mark Rowland, David Sontag
Tight Variational Bounds via Random Projections and I-Projections
Lun-Kai Hsu, Tudor Achim, Stefano Ermon
Time-Varying Gaussian Process Bandit Optimization
Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher
Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls
Kwang-Sung Jun, Kevin Jamieson, Robert Nowak et al.
Topic-Based Embeddings for Learning from Large Knowledge Graphs
Changwei Hu, Piyush Rai, Lawrence Carin
Towards Stability and Optimality in Stochastic Gradient Descent
Panos Toulis, Dustin Tran, Edo Airoldi
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization
Fanhua Shang, Yuanyuan Liu, James Cheng
Unbounded Bayesian Optimization via Regularization
Bobak Shahriari, Alexandre Bouchard-Cote, Nando Freitas
Universal Models of Multivariate Temporal Point Processes
Asela Gunawardana, Chris Meek
Unsupervised Ensemble Learning with Dependent Classifiers
Ariel Jaffe, Ethan Fetaya, Boaz Nadler et al.
Unsupervised Feature Selection by Preserving Stochastic Neighbors
Xiaokai Wei, Philip S. Yu
Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction
Tom Goldstein, Gavin Taylor, Kawika Barabin et al.
Variational Gaussian Copula Inference
Shaobo Han, Xuejun Liao, David Dunson et al.
Variational Tempering
Stephan Mandt, James McInerney, Farhan Abrol et al.
A Bayes consistent 1-NN classifier
Aryeh Kontorovich, Roi Weiss
Accurate and conservative estimates of MRF log-likelihood using reverse annealing
Yuri Burda, Roger Grosse, Ruslan Salakhutdinov
A Consistent Method for Graph Based Anomaly Localization
Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi et al.
Active Pointillistic Pattern Search
Yifei Ma, Danica J. Sutherland, Roman Garnett et al.
A Dirichlet Process Mixture Model for Spherical Data
Julian Straub, Jason Chang, Oren Freifeld et al.
A Greedy Homotopy Method for Regression with Nonconvex Constraints
Fabian Wauthier, Peter Donnelly