Rao-Blackwellized Stochastic Gradients for Discrete Distributions

10 October 2018

Papers citing "Rao-Blackwellized Stochastic Gradients for Discrete Distributions"

10 / 10 papers shown

Title
A Survey on Fairness in Large Language Models Yingji Li Mengnan Du Rui Song Xin Wang Ying Wang ALM 52 60 0 20 Aug 2023
Quark: Controllable Text Generation with Reinforced Unlearning Ximing Lu Sean Welleck Jack Hessel Liwei Jiang Lianhui Qin Peter West Prithviraj Ammanabrolu Yejin Choi MU 66 206 0 26 May 2022
Scaling Structured Inference with Randomization Yao Fu John P. Cunningham Mirella Lapata BDL 32 2 0 07 Dec 2021
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes Hugh Dance Brooks Paige GP 20 10 0 08 Nov 2021
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models Phil Chen Masha Itkina Ransalu Senanayake Mykel J. Kochenderfer 41 6 0 27 Oct 2021
Conditional Poisson Stochastic Beam Search Clara Meister Afra Amini Tim Vieira Ryan Cotterell 24 10 0 22 Sep 2021
Storchastic: A Framework for General Stochastic Automatic Differentiation Emile van Krieken Jakub M. Tomczak A. T. Teije ODL OffRL 31 15 0 01 Apr 2021
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents E. Guiraud Jakob Drefs Jörg Lücke DRL 40 3 0 27 Nov 2020
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models Zhijian Ou Yunfu Song BDL 32 8 0 28 May 2020
Estimating Gradients for Discrete Random Variables by Sampling without Replacement W. Kool H. V. Hoof Max Welling BDL 31 49 0 14 Feb 2020