Papers
11,951 papers found
Bayesian inference as iterated random functions with applications to sequential inference in graphical models
Arash Amini, Xuanlong Nguyen
Beyond Pairwise: Provably Fast Algorithms for Approximate $k$-Way Similarity Search
Anshumali Shrivastava, Ping Li
Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation
Boqing Gong, Kristen Grauman, Fei Sha
Constrained fractional set programs and their application in local clustering and community detection
Thomas Bühler, Shyam Sundar Rangapuram, Simon Setzer et al.
Efficient Dimensionality Reduction for Canonical Correlation Analysis
Haim Avron, Christos Boutsidis, Sivan Toledo et al.
Enhanced statistical rankings via targeted data collection
Braxton Osting, Christoph Brune, Stanley Osher
Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling
Jianzhu Ma, Jian Peng, Sheng Wang et al.
Learning Trajectory Preferences for Manipulators via Iterative Improvement
Ashesh Jain, Brian Wojcik, Thorsten Joachims et al.
Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling
Amr Ahmed, Liangjie Hong, Alexander Smola
Optimal Probability Estimation with Applications to Prediction and Classification
Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky et al.
Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning
Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner et al.
Recurrent linear models of simultaneously-recorded neural populations
Marius Pachitariu, Biljana Petreska, Maneesh Sahani
Stochastic Convex Optimization with Multiple Objectives
Mehrdad Mahdavi, Tianbao Yang, Rong Jin
Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards
Thomas Bonald, Alexandre Proutiere
A Comparison of the Lasso and Marginal Regression
Christopher R. Genovese, Jiashun Jin, Larry Wasserman et al.
Message-Passing Algorithms for MAP Estimation Using DC Programming
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso
Rahul Garg, Rohit Khandekar
Concentration-Based Guarantees for Low-Rank Matrix Reconstruction
Rina Foygel, Nathan Srebro
Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning
Liu Yang, Steve Hanneke, Jaime Carbonell
Laplacian Support Vector Machines Trained in the Primal
Stefano Melacci, Mikhail Belkin
Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation
Wojciech Kotłowski, Peter Grünwald
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
Amr Ahmed, Qirong Ho, Choon Hui Teo et al.