Learning Generalized Gumbel-max Causal Mechanisms

11 November 2021

Papers citing "Learning Generalized Gumbel-max Causal Mechanisms"

21 / 21 papers shown

Title
Counterfactual Token Generation in Large Language Models Ivi Chatzi N. C. Benz Eleni Straitouri Stratis Tsirtsis Manuel Gomez Rodriguez LRM 84 4 0 25 Sep 2024
Counterfactual Influence in Markov Decision Processes Milad Kazemi Jessica Lally Ekaterina Tishchenko Hana Chockler Nicola Paoletti 72 1 0 13 Feb 2024
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation Chaochao Lu Erdun Gao Ke Wang José Miguel Hernández-Lobato Kun Zhang Bernhard Schölkopf CML OOD OffRL 75 60 0 16 Dec 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 511 42,449 0 03 Dec 2019
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models Michael Oberst David Sontag CML OffRL 71 173 0 14 May 2019
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Lars Buesing T. Weber Yori Zwols S. Racanière A. Guez Jean-Baptiste Lespiau N. Heess CML 111 137 0 15 Nov 2018
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise Alessandro Rudi Massimiliano Pontil C. Ciliberto OT 67 130 0 30 May 2018
Structured Optimal Transport David Alvarez-Melis Tommi Jaakkola Stefanie Jegelka OT 51 71 0 17 Dec 2017
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder David Duvenaud 97 300 0 31 Oct 2017
Learning Wasserstein Embeddings Nicolas Courty Rémi Flamary Mélanie Ducoffe 48 63 0 20 Oct 2017
Smooth and Sparse Optimal Transport Mathieu Blondel Vivien Seguy Antoine Rolet OT 59 175 0 17 Oct 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 172 4,826 0 26 Jan 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 334 5,364 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 196 2,533 0 02 Nov 2016
Stochastic Optimization for Large-scale Optimal Transport Aude Genevay Marco Cuturi Gabriel Peyré Francis R. Bach OT 73 467 0 27 May 2016
A Poisson process model for Monte Carlo Chris J. Maddison 60 22 0 18 Feb 2016
Optimal Transport for Domain Adaptation Nicolas Courty Rémi Flamary D. Tuia A. Rakotomamonjy OT OOD 145 1,121 0 02 Jul 2015
Learning with a Wasserstein Loss Charlie Frogner Chiyuan Zhang H. Mobahi Mauricio Araya-Polo T. Poggio 62 602 0 17 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
A* Sampling Chris J. Maddison Daniel Tarlow T. Minka 83 392 0 31 Oct 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 215 4,262 0 04 Jun 2013