Papers
8,340 papers found
Ensemble Methods for Structured Prediction
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song et al.
Estimating Latent-Variable Graphical Models using Moments and Likelihoods
Arun Tejasvi Chaganty, Percy Liang
Exchangeable Variable Models
Mathias Niepert, Pedro Domingos
Exponential Family Matrix Completion under Structural Constraints
Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball
Andrew Miller, Luke Bornn, Ryan Adams et al.
Fast Allocation of Gaussian Process Experts
Trung Nguyen, Edwin Bonilla
Fast Computation of Wasserstein Barycenters
Marco Cuturi, Arnaud Doucet
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods
Jascha Sohl-Dickstein, Ben Poole, Surya Ganguli
Fast Multi-stage Submodular Maximization
Kai Wei, Rishabh Iyer, Jeff Bilmes
Fast Stochastic Alternating Direction Method of Multipliers
Wenliang Zhong, James Kwok
Filtering with Abstract Particles
Jacob Steinhardt, Percy Liang
Finding Dense Subgraphs via Low-Rank Bilinear Optimization
Dimitris Papailiopoulos, Ioannis Mitliagkas, Alexandros Dimakis et al.
Finito: A faster, permutable incremental gradient method for big data problems
Aaron Defazio, Justin Domke, Caetano
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
Ji Liu, Jieping Ye, Ryohei Fujimaki
Gaussian Approximation of Collective Graphical Models
Liping Liu, Daniel Sheldon, Thomas Dietterich
Gaussian Process Classification and Active Learning with Multiple Annotators
Filipe Rodrigues, Francisco Pereira, Bernardete Ribeiro
Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations
David Barber, Yali Wang
Gaussian Process Optimization with Mutual Information
Emile Contal, Vianney Perchet, Nicolas Vayatis
Generalized Exponential Concentration Inequality for Renyi Divergence Estimation
Shashank Singh, Barnabas Poczos
Geodesic Distance Function Learning via Heat Flow on Vector Fields
Binbin Lin, Ji Yang, Xiaofei He et al.
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare
Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan et al.
Global graph kernels using geometric embeddings
Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi et al.
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm
Alexander Schwing, Tamir Hazan, Marc Pollefeys et al.