Papers
938 papers found
Deterministic policy gradient: Convergence analysis
Huaqing. Xiong, Tengyu Xu, Lin Zhao et al.
Differentially private multi-party data release for linear regression
Ruihan Wu, Xin Yang, Yuanshun Yao et al.
Differentially private SGDA for minimax problems
Zhenhuan Yang, Shu Hu, Yunwen Lei et al.
Dimension reduction for high-dimensional small counts with KL divergence
Yurong Ling, Jing-Hao Xue
Discovery of extended summary graphs in time series
Charles K. Assaad, Emilie Devijver, Eric Gaussier
Distributed adversarial training to robustify deep neural networks at scale
Gaoyuan Zhang, Songtao Lu, Yihua Zhang et al.
Do Bayesian variational autoencoders know what they don’t know?
Misha Glazunov, Apostolis Zarras
Dynamic relocation in ridesharing via fixpoint construction
Ian A. Kash, Zhongkai Wen, Lenore D. Zuck
Efficient and transferable adversarial examples from bayesian neural networks
Martin Gubri, Maxime Cordy, Mike Papadakis et al.
Efficient inference for dynamic topic modeling with large vocabularies
Federico Tomasi, Mounia Lalmas, Zhenwen Dai
Efficient learning of sparse and decomposable PDEs using random projection
Md Nasim, Xinghang Zhang, Anter El-Azab et al.
Efficient resource allocation with fairness constraints in restless multi-armed bandits
Dexun. Li, Pradeep Varakantham
Empirical bayes approach to truth discovery problems
Tsviel Ben Shabat, Reshef Meir, David Azriel
Enhanced adaptive optics control with image to image translation
Jeffrey Smith, Jesse Cranney, Charles Gretton et al.
Equilibrium aggregation: encoding sets via optimization
Sergey Bartunov, Fabian B. Fuchs, Timothy P. Lillicrap
Estimating transfer entropy under long ranged dependencies
Sahil Garg, Umang Gupta, Yu Chen et al.
Evaluating high-order predictive distributions in deep learning
Ian Osband, Zheng Wen, Seyed Mohammad Asghari et al.
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently
Tim Reichelt, Adam Goliński, Luke Ong et al.
Faster non-convex federated learning via global and local momentum
Rudrajit Das, Anish Acharya, Abolfazl Hashemi et al.
Fast inference and transfer of compositional task structures for few-shot task generalization
Sungryull Sohn, Hyunjae Woo, Jongwook Choi et al.
Fast predictive uncertainty for classification with Bayesian deep networks
Marius Hobbhahn, Agustinus Kristiadi, Philipp Hennig
Feature learning and random features in standard finite-width convolutional neural networks: An empirical study
Maxim Samarin, Volker Roth, David Belius
Feature selection for discovering distributional treatment effect modifiers
Yoichi Chikahara, Makoto Yamada, Hisashi Kashima
Federated online clustering of bandits
Xutong Liu, Haoru Zhao, Tong Yu et al.