Talks

List of selected talks.

• February 2024: Machine Learning on Graphs
  Inviited Talk | Mathematics Department, Universitas Gadjah Mada
• June 2023: Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs.
  Conference Talk | IJCNN 2023.
• October 2022: Workshop: Introduction to Graph Machine Learning
  @ Computer Science Department, Universitas Gadjah Mada
  Part 1: Introduction and Node Embedding.
  Part 2: Graph Neural Networks.
  
• March 2022: Introduction to Graph Machine Learning.
  Invited Talk | Indonesian Association for Pattern Recognition (INAPR).
• May 2021: Multiplicative Filter Networks.
  Conference Talk | ICLR 2021.
• Mar 2021: Statistika ⟺ Machine Learning (in Bahasa Indonesia).
  Invited Talk | Politeknik Statistika STIS.
• Aug 2020: AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning.
  Conference Talk | AISTATS 2020.
• Mar 2020: Goal Oriented Learning.
  Invited talk | Pennsylvania State University.
• Oct 2019: Designing Performance-Aligned Learning Algorithms using Distributionally Robustness Principle.
  Conference talk | INFORMS 2019. Seattle, WA.
• Feb 2019: Performance-Aligned Learning Algorithms with Statistical Guarantees.
  Thesis Defense | University of Illinois at Chicago.
• Feb 2019: Julia for Machine Learning Research. (Code).
  Tutorial | ML Group @ UIC.
• Oct 2018: Performance-Aligned Learning Algorithms with Statistical Guarantees.
  Invited Talk | Carnegie Mellon University.
• Jun 2018: Efficient and Consistent Adversarial Bipartite Matching.
  Conference Talk | ICML 2018. Stockholm, Sweden.
• Nov 2017: Adversarial Surrogate Losses for General Multiclass Classification.
  Proposal Talk | University of Illinois at Chicago.
• Mar 2016: Multi-class Support Vector Machine.
  WCP Talk | University of Illinois at Chicago.

Posters

List of selected posters.

• February 2020: Fairness for Robust Log Loss Classification.
  Conference Poster | AAAI 2020. New York City, NY.
• December 2018: Distributionally Robust Graphical Models.
  Conference Poster | NeurIPS 2018. Montreal, Canada.
• Jun 2018: Efficient and Consistent Adversarial Bipartite Matching.
  Conference Poster | ICML 2018. Stockholm, Sweden.
• December 2017: Adversarial Surrogate Losses for Ordinal Regression.
  Conference Poster | NeurIPS 2017. Long Beach, CA.
• December 2016: Adversarial Multiclass Classification: A Risk Minimization Perspective.
  Conference Poster | NeurIPS 2016. Barcelona, Spain.