Spain

ECAI 2020

Causal query in observational data with hidden variables

hidden variables

confounding bias

causal effects estimation

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

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)

Causal query in observational data with hidden variables

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Adversarial Learning for Overlapping Community Detection and Network Embedding

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Safety Aware Neural Pruning for Deep Reinforcement Learning

Causal query in observational data with hidden variables

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Next from ECAI 2020

Adversarial Learning for Overlapping Community Detection and Network Embedding

Similar lecture

Safety Aware Neural Pruning for Deep Reinforcement Learning

Downloads