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Counterfactual Temporal Point Processes

Counterfactual Temporal Point Processes

15 November 2021
Kimia Noorbakhsh
Manuel Gomez Rodriguez
ArXivPDFHTML

Papers citing "Counterfactual Temporal Point Processes"

21 / 21 papers shown
Title
When Counterfactual Reasoning Fails: Chaos and Real-World Complexity
When Counterfactual Reasoning Fails: Chaos and Real-World Complexity
Yahya Aalaila
Gerrit Großmann
Sumantrak Mukherjee
Jonas Wahl
Sebastian Vollmer
CML
LRM
114
0
0
31 Mar 2025
Counterfactual Token Generation in Large Language Models
Counterfactual Token Generation in Large Language Models
Ivi Chatzi
N. C. Benz
Eleni Straitouri
Stratis Tsirtsis
Manuel Gomez Rodriguez
LRM
81
4
0
25 Sep 2024
Counterfactual Influence in Markov Decision Processes
Counterfactual Influence in Markov Decision Processes
Milad Kazemi
Jessica Lally
Ekaterina Tishchenko
Hana Chockler
Nicola Paoletti
69
1
0
13 Feb 2024
A Review of the Gumbel-max Trick and its Extensions for Discrete
  Stochasticity in Machine Learning
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben
W. Kool
Max B. Paulus
Ruud J. G. van Sloun
92
97
0
04 Oct 2021
Counterfactual Explanations in Sequential Decision Making Under
  Uncertainty
Counterfactual Explanations in Sequential Decision Making Under Uncertainty
Stratis Tsirtsis
A. De
Manuel Gomez Rodriguez
71
46
0
06 Jul 2021
Counterfactual Data Augmentation using Locally Factored Dynamics
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis
Elliot Creager
Animesh Garg
BDL
OffRL
80
89
0
06 Jul 2020
CAUSE: Learning Granger Causality from Event Sequences using Attribution
  Methods
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
W. Zhang
Thomas Kobber Panum
S. Jha
P. Chalasani
David Page
CML
AI4TS
57
49
0
18 Feb 2020
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal
  Models
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
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
Stochastic Optimal Control of Epidemic Processes in Networks
Stochastic Optimal Control of Epidemic Processes in Networks
Lars Lorch
A. De
Samir Bhatt
W. Trouleau
U. Upadhyay
Manuel Gomez Rodriguez
25
14
0
30 Oct 2018
Fast Estimation of Causal Interactions using Wold Processes
Fast Estimation of Causal Interactions using Wold Processes
Flavio Figueiredo
Guilherme R. Borges
Pedro O. S. Vaz de Melo
Renato M. Assunção
53
9
0
12 Jul 2018
Deep Reinforcement Learning of Marked Temporal Point Processes
Deep Reinforcement Learning of Marked Temporal Point Processes
U. Upadhyay
A. De
Manuel Gomez Rodriguez
BDL
OffRL
56
112
0
23 May 2018
Teaching Multiple Concepts to a Forgetful Learner
Teaching Multiple Concepts to a Forgetful Learner
Anette Hunziker
Yuxin Chen
Oisin Mac Aodha
Manuel Gomez Rodriguez
Andreas Krause
Pietro Perona
Yisong Yue
Adish Singla
CLL
99
39
0
21 May 2018
Steering Social Activity: A Stochastic Optimal Control Point Of View
Steering Social Activity: A Stochastic Optimal Control Point Of View
Ali Zarezade
A. De
U. Upadhyay
Hamid R. Rabiee
Manuel Gomez Rodriguez
LLMSV
65
34
0
19 Feb 2018
Distilling Information Reliability and Source Trustworthiness from
  Digital Traces
Distilling Information Reliability and Source Trustworthiness from Digital Traces
Behzad Tabibian
Isabel Valera
Mehrdad Farajtabar
Le Song
Bernhard Schölkopf
Manuel Gomez Rodriguez
37
39
0
24 Oct 2016
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
M. Achab
Emmanuel Bacry
Stéphane Gaïffas
I. Mastromatteo
Jean-François Muzy
76
91
0
21 Jul 2016
Learning Granger Causality for Hawkes Processes
Learning Granger Causality for Hawkes Processes
Hongteng Xu
Mehrdad Farajtabar
H. Zha
AI4TS
CML
58
227
0
14 Feb 2016
COEVOLVE: A Joint Point Process Model for Information Diffusion and
  Network Co-evolution
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar
Yichen Wang
Manuel Gomez Rodriguez
Shuang Li
H. Zha
Le Song
72
241
0
08 Jul 2015
A* Sampling
A* Sampling
Chris J. Maddison
Daniel Tarlow
T. Minka
83
392
0
31 Oct 2014
Discovering Latent Network Structure in Point Process Data
Discovering Latent Network Structure in Point Process Data
Scott W. Linderman
Ryan P. Adams
82
282
0
04 Feb 2014
Counterfactual analyses with graphical models based on local
  independence
Counterfactual analyses with graphical models based on local independence
K. Røysland
CML
92
29
0
06 Jun 2011
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