Charles Margossian
@charlesm993.bsky.social
Prof at the University of British Columbia. Research in statistics, ML, and AI for science. Views are my own. https://charlesm93.github.io./
Applications for the PhD and MSc programs in statistics at UBC are now open!
📆 Deadline for PhD program is December 1st
📆 Deadline for MSc program is January 5th
The department covers all areas of statistics and we have a lot of momentum in Bayesian computation!
📆 Deadline for PhD program is December 1st
📆 Deadline for MSc program is January 5th
The department covers all areas of statistics and we have a lot of momentum in Bayesian computation!
November 7, 2025 at 8:05 PM
Applications for the PhD and MSc programs in statistics at UBC are now open!
📆 Deadline for PhD program is December 1st
📆 Deadline for MSc program is January 5th
The department covers all areas of statistics and we have a lot of momentum in Bayesian computation!
📆 Deadline for PhD program is December 1st
📆 Deadline for MSc program is January 5th
The department covers all areas of statistics and we have a lot of momentum in Bayesian computation!
My paper with Loucas Pillaud-Vivien and Lawrence Saul, “Variational Inference for Uncertainty Quantification: An Analysis of Trade-offs”, has been accepted for publication in the Journal of Machine Learning Research.
📃 arxiv.org/abs/2403.13748
🧵 1/
📃 arxiv.org/abs/2403.13748
🧵 1/
September 10, 2025 at 12:28 AM
My paper with Loucas Pillaud-Vivien and Lawrence Saul, “Variational Inference for Uncertainty Quantification: An Analysis of Trade-offs”, has been accepted for publication in the Journal of Machine Learning Research.
📃 arxiv.org/abs/2403.13748
🧵 1/
📃 arxiv.org/abs/2403.13748
🧵 1/
Earlier this month, I taught at the summer school on "cryptography, statistics and machine learning" (mathschool.ysu.am) hosted by Yerevan State University in Armenia 🇦🇲
🙏 Thank you to the organizers for putting together such a wonderful event! I truly enjoyed interacting with the students.
🙏 Thank you to the organizers for putting together such a wonderful event! I truly enjoyed interacting with the students.
July 28, 2025 at 3:30 PM
Earlier this month, I taught at the summer school on "cryptography, statistics and machine learning" (mathschool.ysu.am) hosted by Yerevan State University in Armenia 🇦🇲
🙏 Thank you to the organizers for putting together such a wonderful event! I truly enjoyed interacting with the students.
🙏 Thank you to the organizers for putting together such a wonderful event! I truly enjoyed interacting with the students.
New manuscript by Nawaf Bou-Rabee, Bob Carpenter, Tore Kleppe and Sifan Liu on the WALNUTS algorithm which improves of the NUTS sampler by introducing a locally adaptive step size.
📜 Paper: arxiv.org/pdf/2506.18746
💻 Code: github.com/bob-carpente...
📜 Paper: arxiv.org/pdf/2506.18746
💻 Code: github.com/bob-carpente...
June 26, 2025 at 6:00 AM
New manuscript by Nawaf Bou-Rabee, Bob Carpenter, Tore Kleppe and Sifan Liu on the WALNUTS algorithm which improves of the NUTS sampler by introducing a locally adaptive step size.
📜 Paper: arxiv.org/pdf/2506.18746
💻 Code: github.com/bob-carpente...
📜 Paper: arxiv.org/pdf/2506.18746
💻 Code: github.com/bob-carpente...
Research opportunity for a graduate student in ecology 🌳 at UBC 🇨🇦 with Lizzie Wolkovich and the Temporal Ecology lab (temporalecology.org).
📝 Apply here: temporalecology.org/joining-the-... by July 1st 2025!
The abstract sounds fascinating (see attached).
📝 Apply here: temporalecology.org/joining-the-... by July 1st 2025!
The abstract sounds fascinating (see attached).
June 13, 2025 at 9:28 PM
Research opportunity for a graduate student in ecology 🌳 at UBC 🇨🇦 with Lizzie Wolkovich and the Temporal Ecology lab (temporalecology.org).
📝 Apply here: temporalecology.org/joining-the-... by July 1st 2025!
The abstract sounds fascinating (see attached).
📝 Apply here: temporalecology.org/joining-the-... by July 1st 2025!
The abstract sounds fascinating (see attached).
🙏This award is this much more meaningful to me in that it celebrates my collaboration with the amazing Lawrence Saul (users.flatironinstitute.org/~lsaul/).
May 5, 2025 at 1:18 AM
🙏This award is this much more meaningful to me in that it celebrates my collaboration with the amazing Lawrence Saul (users.flatironinstitute.org/~lsaul/).
✨ Thank you #AISTATS for the best paper award!!
📜 arxiv.org/abs/2410.11067
💡What does VI learn and under what conditions? The answer lies in symmetry.
🤝 Honored to share this award with my co-author Lawrence Saul from @flatironinstitute.org
📜 arxiv.org/abs/2410.11067
💡What does VI learn and under what conditions? The answer lies in symmetry.
🤝 Honored to share this award with my co-author Lawrence Saul from @flatironinstitute.org
May 5, 2025 at 1:15 AM
✨ Thank you #AISTATS for the best paper award!!
📜 arxiv.org/abs/2410.11067
💡What does VI learn and under what conditions? The answer lies in symmetry.
🤝 Honored to share this award with my co-author Lawrence Saul from @flatironinstitute.org
📜 arxiv.org/abs/2410.11067
💡What does VI learn and under what conditions? The answer lies in symmetry.
🤝 Honored to share this award with my co-author Lawrence Saul from @flatironinstitute.org
🇹🇭 Just arrived in Phuket, Thailand for #AISTATS 2025.
📃 I'll presenting my recent work with Lawrence Saul on Variational Inference in Location-Sacale Families: arxiv.org/abs/2410.11067
DM if you are in town and want to connect at the conference!
📃 I'll presenting my recent work with Lawrence Saul on Variational Inference in Location-Sacale Families: arxiv.org/abs/2410.11067
DM if you are in town and want to connect at the conference!
May 1, 2025 at 6:00 PM
🇹🇭 Just arrived in Phuket, Thailand for #AISTATS 2025.
📃 I'll presenting my recent work with Lawrence Saul on Variational Inference in Location-Sacale Families: arxiv.org/abs/2410.11067
DM if you are in town and want to connect at the conference!
📃 I'll presenting my recent work with Lawrence Saul on Variational Inference in Location-Sacale Families: arxiv.org/abs/2410.11067
DM if you are in town and want to connect at the conference!
Yesterday, an undergraduate asked me whether I used the same tools as 3blue1brown to animate my slides. Maybe one of the coolest compliments I've ever gotten :)
... and excellent reason to share my appreciation for this beautiful channel: www.youtube.com/@3blue1brown.
... and excellent reason to share my appreciation for this beautiful channel: www.youtube.com/@3blue1brown.
February 13, 2025 at 9:28 PM
Yesterday, an undergraduate asked me whether I used the same tools as 3blue1brown to animate my slides. Maybe one of the coolest compliments I've ever gotten :)
... and excellent reason to share my appreciation for this beautiful channel: www.youtube.com/@3blue1brown.
... and excellent reason to share my appreciation for this beautiful channel: www.youtube.com/@3blue1brown.
Our paper was accepted (oral) for #AISTATS. From the AC:
"This paper provides a very elegant analysis of variational inference in location-scale families, providing much-needed insights into when and why variational methods can so often accurately obtain accurate means estimates."
"This paper provides a very elegant analysis of variational inference in location-scale families, providing much-needed insights into when and why variational methods can so often accurately obtain accurate means estimates."
January 22, 2025 at 5:49 PM
Our paper was accepted (oral) for #AISTATS. From the AC:
"This paper provides a very elegant analysis of variational inference in location-scale families, providing much-needed insights into when and why variational methods can so often accurately obtain accurate means estimates."
"This paper provides a very elegant analysis of variational inference in location-scale families, providing much-needed insights into when and why variational methods can so often accurately obtain accurate means estimates."
A poster at #NeurIPS2024 with everything I like:
- Amortized inference
- Pareto-smoothed importance sampling
- MCMC using many chains
This work provides a progressive complexification of the inference to control computation.
Work by Luigi Acerbi and colleagues: openreview.net/pdf?id=pKZp2...
- Amortized inference
- Pareto-smoothed importance sampling
- MCMC using many chains
This work provides a progressive complexification of the inference to control computation.
Work by Luigi Acerbi and colleagues: openreview.net/pdf?id=pKZp2...
December 16, 2024 at 7:53 PM
A poster at #NeurIPS2024 with everything I like:
- Amortized inference
- Pareto-smoothed importance sampling
- MCMC using many chains
This work provides a progressive complexification of the inference to control computation.
Work by Luigi Acerbi and colleagues: openreview.net/pdf?id=pKZp2...
- Amortized inference
- Pareto-smoothed importance sampling
- MCMC using many chains
This work provides a progressive complexification of the inference to control computation.
Work by Luigi Acerbi and colleagues: openreview.net/pdf?id=pKZp2...
🇨🇦 Next stop: Vancouver for #NeurIPS2024!
🏃♂️Ready to learn, share, discuss, connect and reconnect!!
💡 My favorite part: meeting researchers and exchanging ideas, so please DM if you want to chat!
📜 Presenting our latest paper on Variational Inference
🏃♂️Ready to learn, share, discuss, connect and reconnect!!
💡 My favorite part: meeting researchers and exchanging ideas, so please DM if you want to chat!
📜 Presenting our latest paper on Variational Inference
December 8, 2024 at 2:15 PM
🇨🇦 Next stop: Vancouver for #NeurIPS2024!
🏃♂️Ready to learn, share, discuss, connect and reconnect!!
💡 My favorite part: meeting researchers and exchanging ideas, so please DM if you want to chat!
📜 Presenting our latest paper on Variational Inference
🏃♂️Ready to learn, share, discuss, connect and reconnect!!
💡 My favorite part: meeting researchers and exchanging ideas, so please DM if you want to chat!
📜 Presenting our latest paper on Variational Inference