Papers
4,025 papers found
ConvNets with Smooth Adaptive Activation Functions for Regression
Le Hou, Dimitris Samaras, Tahsin Kurc et al.
Co-Occurring Directions Sketching for Approximate Matrix Multiply
Youssef Mroueh, Etienne Marcheret, Vaibahava Goel
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC
Tianfan Fu, Zhihua Zhang
Data Driven Resource Allocation for Distributed Learning
Travis Dick, Mu Li, Venkata Krishna Pillutla et al.
Decentralized Collaborative Learning of Personalized Models over Networks
Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes
Feras Saad, Vikash Mansinghka
Discovering and Exploiting Additive Structure for Bayesian Optimization
Jacob Gardner, Chuan Guo, Kilian Weinberger et al.
Distance Covariance Analysis
Benjamin Cowley, Joao Semedo, Amin Zandvakili et al.
Distributed Adaptive Sampling for Kernel Matrix Approximation
Daniele Calandriello, Alessandro Lazaric, Michal Valko
Distribution of Gaussian Process Arc Lengths
Justin Bewsher, Alessandra Tosi, Michael Osborne et al.
Diverse Neural Network Learns True Target Functions
Bo Xie, Yingyu Liang, Le Song
DP-EM: Differentially Private Expectation Maximization
Mijung Park, James Foulds, Kamalika Choudhary et al.
Dynamic Collaborative Filtering With Compound Poisson Factorization
Ghassen Jerfel, Mehmet Basbug, Barbara Engelhardt
Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent
Pan Xu, Tingting Zhang, Quanquan Gu
Efficient Online Multiclass Prediction on Graphs via Surrogate Losses
Alexander Rakhlin, Karthik Sridharan
Efficient Rank Aggregation via Lehmer Codes
Pan Li, Arya Mazumdar, Olgica Milenkovic
Encrypted Accelerated Least Squares Regression
Pedro Esperanca, Louis Aslett, Chris Holmes
Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios
Hiroaki Sasaki, Takafumi Kanamori, Masashi Sugiyama
Exploration-Exploitation in MDPs with Options
Ronan Fruit, Alessandro Lazaric
Fairness Constraints: Mechanisms for Fair Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rogriguez et al.
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein, Stefan Falkner, Simon Bartels et al.
Fast Classification with Binary Prototypes
Kai Zhong, Ruiqi Guo, Sanjiv Kumar et al.
Fast column generation for atomic norm regularization
Marina Vinyes, Guillaume Obozinski
Faster Coordinate Descent via Adaptive Importance Sampling
Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi