Papers
1,821 papers found
Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento, Rui Ponte Costa, Yoshua Bengio et al.
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning
Yonathan Efroni, Gal Dalal, Bruno Scherrer et al.
Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis
Thomas George, César Laurent, Xavier Bouthillier et al.
Approximate Knowledge Compilation by Online Collapsed Importance Sampling
Tal Friedman, Guy Van den Broeck
Training Deep Models Faster with Robust, Approximate Importance Sampling
Tyler B Johnson, Carlos Guestrin
Predictive Approximate Bayesian Computation via Saddle Points
Yingxiang Yang, Bo Dai, Negar Kiyavash et al.
Optimization for Approximate Submodularity
Yaron Singer, Avinatan Hassidim
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Fred Roosta, Peng Xu et al.
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse
Cornelius Schröder, Ben James, Leon Lagnado et al.
Backprop with Approximate Activations for Memory-efficient Network Training
Ayan Chakrabarti, Benjamin Moseley
Greedy Sampling for Approximate Clustering in the Presence of Outliers
Aditya Bhaskara, Sharvaree Vadgama, Hong Xu
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases
Xiyang Liu, Sewoong Oh
Approximate Feature Collisions in Neural Nets
Ke Li, Tianhao Zhang, Jitendra Malik
Generalization Bounds for Neural Networks via Approximate Description Length
Amit Daniely, Elad Granot
Limiting Extrapolation in Linear Approximate Value Iteration
Andrea Zanette, Alessandro Lazaric, Mykel J Kochenderfer et al.
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking
Sumeet Katariya, Ardhendu Tripathy, Robert Nowak
Computing Full Conformal Prediction Set with Approximate Homotopy
Eugene Ndiaye, Ichiro Takeuchi
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Zhiqi Bu, Jason Klusowski, Cynthia Rush et al.
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
Karl Krauth, Stephen Tu, Benjamin Recht
Approximate Inference Turns Deep Networks into Gaussian Processes
Mohammad Emtiyaz Khan, Alexander Immer, Ehsan Abedi et al.
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing
Larkin Flodin, Venkata Gandikota, Arya Mazumdar
Thompson Sampling and Approximate Inference
My Phan, Yasin Abbasi Yadkori, Justin Domke
Fourier Sparse Leverage Scores and Approximate Kernel Learning
Tamas Erdelyi, Cameron Musco, Christopher Musco
Learning to Approximate a Bregman Divergence
Ali Siahkamari, XIDE XIA, Venkatesh Saligrama et al.
On the Convergence of Smooth Regularized Approximate Value Iteration Schemes
Elena Smirnova, Elvis Dohmatob