Papers
4,025 papers found
A Mini-Block Fisher Method for Deep Neural Networks
Achraf Bahamou, Donald Goldfarb, Yi Ren
A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data
Yehu Chen, Annamaria Prati, Jacob Montgomery et al.
ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits
Thomas Kleine Buening, Aadirupa Saha
An Efficient and Continuous Voronoi Density Estimator
Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava et al.
A New Causal Decomposition Paradigm towards Health Equity
Xinwei Sun, Xiangyu Zheng, Jim Weinstein
A New Modeling Framework for Continuous, Sequential Domains
Hailiang Dong, James Amato, Vibhav Gogate et al.
An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization
Lianke Qin, Zhao Song, Lichen Zhang et al.
An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge
Kihyuk Hong, Yuhang Li, Ambuj Tewari
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces
Charline Le Lan, Joshua Greaves, Jesse Farebrother et al.
An Unpooling Layer for Graph Generation
Yinglong Guo, Dongmian Zou, Gilad Lerman
Approximate Regions of Attraction in Learning with Decision-Dependent Distributions
Roy Dong, Heling Zhang, Lillian Ratliff
Approximating a RUM from Distributions on $k$-Slates
Flavio Chierichetti, Mirko Giacchini, Ravi Kumar et al.
A Sea of Words: An In-Depth Analysis of Anchors for Text Data
Gianluigi Lopardo, Frederic Precioso, Damien Garreau
ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
Louis Leconte, Sholom Schechtman, Eric Moulines
A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning
Xiang Li, Wenhao Yang, Jiadong Liang et al.
A Statistical Learning Take on the Concordance Index for Survival Analysis
Kevin Elgui, Alex Nowak, Geneviève Robin
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets
Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi et al.
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments
Vincent Liu, Yash Chandak, Philip Thomas et al.
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture
Minh-Toan Nguyen, Romain Couillet
A Tale of Sampling and Estimation in Discounted Reinforcement Learning
Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space
Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava
A Targeted Accuracy Diagnostic for Variational Approximations
Yu Wang, Mikolaj Kasprzak, Jonathan H. Huggins