Papers
8,340 papers found
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis
Jian Tang, Zhaoshi Meng, Xuanlong Nguyen et al.
Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms
Richard Combes, Alexandre Proutiere
Universal Matrix Completion
Srinadh Bhojanapalli, Prateek Jain
Variational Inference for Sequential Distance Dependent Chinese Restaurant Process
Sergey Bartunov, Dmitry Vetrov
Von Mises-Fisher Clustering Models
Siddharth Gopal, Yiming Yang
Wasserstein Propagation for Semi-Supervised Learning
Justin Solomon, Raif Rustamov, Leonidas Guibas et al.
Weighted Graph Clustering with Non-Uniform Uncertainties
Yudong Chen, Shiau Hong Lim, Huan Xu
ABC Reinforcement Learning
Christos Dimitrakakis, Nikolaos Tziortziotis
Active Learning for Multi-Objective Optimization
Marcela Zuluaga, Guillaume Sergent, Andreas Krause et al.
Activized Learning with Uniform Classification Noise
Liu Yang, Steve Hanneke
Adaptive Hamiltonian and Riemann Manifold Monte Carlo
Ziyu Wang, Shakir Mohamed, Nando Freitas
Adaptive Sparsity in Gaussian Graphical Models
Eleanor Wong, Suyash Awate, P. Thomas Fletcher
Adaptive Task Assignment for Crowdsourced Classification
Chien-Ju Ho, Shahin Jabbari, Jennifer Wortman Vaughan
A Fast and Exact Energy Minimization Algorithm for Cycle MRFs
Huayan Wang, Koller Daphne
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
Pinghua Gong, Changshui Zhang, Zhaosong Lu et al.
A Generalized Kernel Approach to Structured Output Learning
Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux
Algorithms for Direct 0–1 Loss Optimization in Binary Classification
Tan Nguyen, Scott Sanner
Almost Optimal Exploration in Multi-Armed Bandits
Zohar Karnin, Tomer Koren, Oren Somekh
A Local Algorithm for Finding Well-Connected Clusters
Zeyuan Allen Zhu, Silvio Lattanzi, Vahab Mirrokni
A Machine Learning Framework for Programming by Example
Aditya Menon, Omer Tamuz, Sumit Gulwani et al.
An Adaptive Learning Rate for Stochastic Variational Inference
Rajesh Ranganath, Chong Wang, Blei David et al.
Analogy-preserving Semantic Embedding for Visual Object Categorization
Sung Ju Hwang, Kristen Grauman, Fei Sha
An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation
Nicholas Bryan, Gautham Mysore