Papers
8,340 papers found
An Information Geometry of Statistical Manifold Learning
Ke Sun, Stéphane Marchand-Maillet
Anomaly Ranking as Supervised Bipartite Ranking
Stephan Clémençon, Sylvain Robbiano
Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow
David Gleich, Michael Mahoney
A PAC-Bayesian bound for Lifelong Learning
Anastasia Pentina, Christoph Lampert
A Physics-Based Model Prior for Object-Oriented MDPs
Jonathan Scholz, Martin Levihn, Charles Isbell et al.
Approximate Policy Iteration Schemes: A Comparison
Bruno Scherrer
Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process
Issei Sato, Hiroshi Nakagawa
A reversible infinite HMM using normalised random measures
David Knowles, Zoubin Ghahramani, Konstantina Palla
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data
Jinfeng Yi, Lijun Zhang, Jun Wang et al.
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data
Arun Rajkumar, Shivani Agarwal
A Statistical Perspective on Algorithmic Leveraging
Ping Ma, Michael Mahoney, Bin Yu
Asymptotically consistent estimation of the number of change points in highly dependent time series
Azadeh Khaleghi, Daniil Ryabko
Asynchronous Distributed ADMM for Consensus Optimization
Ruiliang Zhang, James Kwok
A Unified Framework for Consistency of Regularized Loss Minimizers
Jean Honorio, Tommi Jaakkola
A Unifying View of Representer Theorems
Andreas Argyriou, Francesco Dinuzzo
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
Anoop Korattikara, Yutian Chen, Max Welling
Automated inference of point of view from user interactions in collective intelligence venues
Sanmay Das, Allen Lavoie
Bayesian Max-margin Multi-Task Learning with Data Augmentation
Chengtao Li, Jun Zhu, Jianfei Chen
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts
Tien Vu Nguyen, Dinh Phung, Xuanlong Nguyen et al.
Bayesian Optimization with Inequality Constraints
Jacob Gardner, Matt Kusner, Zhixiang et al.
Beta Diffusion Trees
Creighton Heaukulani, David Knowles, Zoubin Ghahramani
Bias in Natural Actor-Critic Algorithms
Philip Thomas
Boosting multi-step autoregressive forecasts
Souhaib Ben Taieb, Rob Hyndman
Boosting with Online Binary Learners for the Multiclass Bandit Problem
Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu
Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs
Fabian Gieseke, Justin Heinermann, Cosmin Oancea et al.