Spain

ECAI 2020

Causal query in observational data with hidden variables

hidden variables

confounding bias

causal effects estimation

The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. 

AAAI 2021

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

Adversarial Learning for Overlapping Community Detection and Network Embedding

Gradual guaranteed coordination in repeated win-lose coordination games

From mixture of longitudinal and non-Gaussian advertising data to Click-Through-Rate prediction

Delving Deeper into the Decoder of Video Captioning

Comparative Timeline Summarization via Dynamic Affinity-Preserving Random Walk

Tutor-Instructing Global Pruning for Accelerating Convolutional Neural Networks

DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains

Mean field theory for deep dropout networks

Adaptive Interaction Fusion Networks for Fake News Detection

Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network

https://d3smihljt9218e.cloudfront.net/transcript/947/subtitle/6319eac062abf64c9d3cc260fe47f224.vtt

English (automatic)

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Next from ECAI 2020

Adversarial Learning for Overlapping Community Detection and Network Embedding

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A Generative Adversarial Framework for Bounding Confounded Causal Effects

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Next from ECAI 2020

Adversarial Learning for Overlapping Community Detection and Network Embedding

Similar lecture

A Generative Adversarial Framework for Bounding Confounded Causal Effects

Downloads