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FILA 2020 : International Workshop on Fair and Interpretable Learning Algorithms
FILA 2020 : International Workshop on Fair and Interpretable Learning Algorithms

FILA 2020 : International Workshop on Fair and Interpretable Learning Algorithms

Atlanta, GA, USA
Event Date: December 10, 2020 - December 13, 2020
Submission Deadline: October 01, 2020
Notification of Acceptance: November 01, 2020
Camera Ready Version Due: November 15, 2020




About

The objectives of the FILA 2020 workshop are to:

  • Provide a venue for academic researchers, industry professionals, and government partners to come together, present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from designing machine learning applications and big data analytics solutions using novel, efficient, scalable, fair and interpretable AI and ML algorithms.
  • Foster collaboration between Algorithms | Theoretical Computer Science communities and Artificial Intelligence | Machine Learning | Data Science | Network Science communities.

Call for Papers

The FILA 2020 conference is focused on fairness and interpretability of machine learning algorithms. We invite submissions with contributions to new or existing learning probles including, but not limited to:

  • Design and analysis of fair and interpretable machine learning algorithms
  • Statistical and computational complexity of fair and interpretable machine learning
  • Optimization methods for fair and interpretable learning
  • Fairness in online and stochastic optimization
  • Fair machine learning through Bayesian methods
  • Fairness game theory and machine learning
  • Interpretable machine learning from complex data (e.g., networks, time series)
  • Fairness and interpretability in learning for particular settings (e.g., computational social science, economics, climate)
  • Algorithmic unfairness and bias in popularly used learning datasets
  • Fairness, accountability, transparency, and ethics in search
  • Fairness-aware recommender systems and diversity in recommendation
  • Investigation of black-box systems, particularly web platforms and algorithms
  • Transparency-aware algorithms for social impact
  • Fairness audits on the use of sensitive data
  • Evaluation methods for fair and interpretable machine learning
  • Fairness in unsupervised machine learning (e.g., clustering)
  • Fairness in reinforcement learning
  • Interpretability of neural network algorithms
  • Accountability in human-in-the-loop machine learning
  • Privacy-preserving and fairness-aware machine learning


Summary

FILA 2020 : International Workshop on Fair and Interpretable Learning Algorithms will take place in Atlanta, GA, USA. It’s a 4 days event starting on Dec 10, 2020 (Thursday) and will be winded up on Dec 13, 2020 (Sunday).

FILA 2020 falls under the following areas: MACHINE LEARNING, ALGORITHMS, etc. Submissions for this Workshop can be made by Oct 01, 2020. Authors can expect the result of submission by Nov 01, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Nov 15, 2020 to the official website of the Workshop.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the FILA 2020

  • Short Name: FILA 2020
  • Full Name: International Workshop on Fair and Interpretable Learning Algorithms
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of FILA 2020
  • Event Type: Workshop
  • Website Link: https://fila-workshop.github.io/
  • Location/Address: Atlanta, GA, USA


Credits and Sources

[1] FILA 2020 : International Workshop on Fair and Interpretable Learning Algorithms


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