Papers

572 papers found
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
James Martens, Roger Grosse
2015 ICML
Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
Roy Frostig, Rong Ge, Sham Kakade et al.
2015 ICML
A Kronecker-factored approximate Fisher matrix for convolution layers
Roger Grosse, James Martens
2016 ICML
Hyperparameter optimization with approximate gradient
Fabian Pedregosa
2016 ICML
Deep Gaussian Processes for Regression using Approximate Expectation Propagation
Thang Bui, Daniel Hernandez-Lobato, Jose Hernandez-Lobato et al.
2016 ICML
DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression
Jovana Mitrovic, Dino Sejdinovic, Yee-Whye Teh
2016 ICML
Softened Approximate Policy Iteration for Markov Games
Julien Pérolat, Bilal Piot, Matthieu Geist et al.
2016 ICML
Near Optimal Behavior via Approximate State Abstraction
David Abel, David Hershkowitz, Michael Littman
2016 ICML
Tight Bounds for Approximate Carathéodory and Beyond
Vahab Mirrokni, Renato Paes Leme, Adrian Vladu et al.
2017 ICML
Approximate Steepest Coordinate Descent
Sebastian U. Stich, Anant Raj, Martin Jaggi
2017 ICML
Approximate Newton Methods and Their Local Convergence
Haishan Ye, Luo Luo, Zhihua Zhang
2017 ICML
Bucket Renormalization for Approximate Inference
Sungsoo Ahn, Michael Chertkov, Adrian Weller et al.
2018 ICML
Self-Bounded Prediction Suffix Tree via Approximate String Matching
Dongwoo Kim, Christian Walder
2018 ICML
Binary Partitions with Approximate Minimum Impurity
Eduardo Laber, Marco Molinaro, Felipe Mello Pereira
2018 ICML
Approximate message passing for amplitude based optimization
Junjie Ma, Ji Xu, Arian Maleki
2018 ICML
Fast Approximate Spectral Clustering for Dynamic Networks
Lionel Martin, Andreas Loukas, Pierre Vandergheynst
2018 ICML
Scalable approximate Bayesian inference for particle tracking data
Ruoxi Sun, Liam Paninski
2018 ICML
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions
Shuaiwen Wang, Wenda Zhou, Haihao Lu et al.
2018 ICML
LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration
Gellert Weisz, Andras Gyorgy, Csaba Szepesvari
2018 ICML
Probably Approximately Metric-Fair Learning
Gal Yona, Guy Rothblum
2018 ICML
Projections for Approximate Policy Iteration Algorithms
Riad Akrour, Joni Pajarinen, Jan Peters et al.
2019 ICML
Submodular Cost Submodular Cover with an Approximate Oracle
Victoria Crawford, Alan Kuhnle, My Thai
2019 ICML
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
Xiaohan Ding, Guiguang Ding, Yuchen Guo et al.
2019 ICML
Sequential Facility Location: Approximate Submodularity and Greedy Algorithm
Ehsan Elhamifar
2019 ICML
Generalized Approximate Survey Propagation for High-Dimensional Estimation
Carlo Lucibello, Luca Saglietti, Yue Lu
2019 ICML