conftrace_

Papers

4,133 papers found · incl. 11 without abstracts Only with abstracts
Profile-Based Bandit with Unknown Profiles
Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari
2018 JMLR
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation
Benjamin Guedj, Bhargav Srinivasa Desikan
2018 JMLR
2018 JMLR
Rate of Convergence of $k$-Nearest-Neighbor Classification Rule
Maik Döring, László Györfi, Harro Walk
2018 JMLR
Regularized Optimal Transport and the Rot Mover's Distance
Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas
2018 JMLR
Reverse Iterative Volume Sampling for Linear Regression
Michał Dereziński, Manfred K. Warmuth
2018 JMLR
Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks
Swapna Buccapatnam, Fang Liu, Atilla Eryilmaz et al.
2018 JMLR
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson et al.
2018 JMLR
2018 JMLR
Robust Synthetic Control
Muhammad Amjad, Devavrat Shah, Dennis Shen
2018 JMLR
Robust Topological Inference: Distance To a Measure and Kernel Distance
Frédéric Chazal, Brittany Fasy, Fabrizio Lecci et al.
2018 JMLR
Saturating Splines and Feature Selection
Nicholas Boyd, Trevor Hastie, Stephen Boyd et al.
2018 JMLR
Scalable Bayes via Barycenter in Wasserstein Space
Sanvesh Srivastava, Cheng Li, David B. Dunson
2018 JMLR
Scaling up Data Augmentation MCMC via Calibration
Leo L. Duan, James E. Johndrow, David B. Dunson
2018 JMLR
Scikit-Multiflow: A Multi-output Streaming Framework
Jacob Montiel, Jesse Read, Albert Bifet et al.
2018 JMLR
Significance-based community detection in weighted networks
John Palowitch, Shankar Bhamidi, Andrew B. Nobel
2018 JMLR
Simple Classification Using Binary Data
Deanna Needell, Rayan Saab, Tina Woolf
2018 JMLR
2018 JMLR