Papers
173,579 papers found
Fast Resampling Weighted v-Statistics
Chunxiao Zhou, Jiseong Park, Yun Fu
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models
Matthias Seeger, Guillaume Bouchard
Fast Variational Inference in the Conjugate Exponential Family
James Hensman, Magnus Rattray, Neil D. Lawrence
Fast Variational Mode-Seeking
Bo Thiesson, Jingu Kim
Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion
Nisar Ahmed, Jonathan Schoenberg, Mark Campbell
Feature-aware Label Space Dimension Reduction for Multi-label Classification
Yao-nan Chen, Hsuan-tien Lin
Feature-Based Prediction of Trajectories for Socially Compliant Navigation
Markus Kuderer, Henrik Kretzschmar, Christoph Sprunk et al.
Feature Clustering for Accelerating Parallel Coordinate Descent
Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar et al.
Feature Selection via Dependence Maximization
Le Song, Alex Smola, Arthur Gretton et al.
FFT-based Terrain Segmentation for Underwater Mapping
Bertrand Douillard, Navid Nourani-Vatani, Matthew Johnson-Roberson et al.
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling
Antonino Freno, Mikaela Keller, Marc Tommasi
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery
Ehsan Elhamifar, Guillermo Sapiro, René Vidal
Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs
Sunita Nayak, Kester Duncan, Sudeep Sarkar et al.
Finite-Sample Analysis of Least-Squares Policy Iteration
Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods
Andre Wibisono, Martin J. Wainwright, Michael I. Jordan et al.
Flexible Martingale Priors for Deep Hierarchies
Jacob Steinhardt, Zoubin Ghahramani
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach
Dijun Luo, Heng Huang, Feiping Nie et al.
Formalizing Assistive Teleoperation
Anca Dragan, Siddhartha Srinivasa
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models
Kei Wakabayashi, Takao Miura
Forward Basis Selection for Sparse Approximation over Dictionary
Xiaotong Yuan, Shuicheng Yan
From Deformations to Parts: Motion-based Segmentation of 3D Objects
Soumya Ghosh, Matthew Loper, Erik B. Sudderth et al.
Frustratingly Simplified Deployment in WLAN Localization by Learning from Route Annotation
Ryoma Kawajiri, Masamichi Shimosaka, Rui Fukui et al.
Fully Bayesian inference for neural models with negative-binomial spiking
Jonathan W. Pillow, James Scott
Fused sparsity and robust estimation for linear models with unknown variance
Arnak Dalalyan, Yin Chen
Fusion with Diffusion for Robust Visual Tracking
Yu Zhou, Xiang Bai, Wenyu Liu et al.