I feel like I broke up with someone after I declined the AIStats reviewer invitation. I don't feel like it's right for me to review papers if I don't write them myself these days. Sucks.
#aistats
#aistats
October 1, 2026 at 2:03 AM
I feel like I broke up with someone after I declined the AIStats reviewer invitation. I don't feel like it's right for me to review papers if I don't write them myself these days. Sucks.
#aistats
#aistats
As stated in my email: 1) submissions first go through an LLM triage checking factual correctness, novelty/significance, and technical correctness (AISTATS does the later already), 2) a relatively small fraction proceeds to human review.
September 22, 2026 at 5:24 PM
As stated in my email: 1) submissions first go through an LLM triage checking factual correctness, novelty/significance, and technical correctness (AISTATS does the later already), 2) a relatively small fraction proceeds to human review.
AISTATS is from now on officially called SISTATS 🐍
Trump tells the UN he is officially changing the name of Artificial Intelligence to "Super Intelligence" and says all US government documents will now be changed to refer to "SI"
September 22, 2026 at 3:50 PM
AISTATS is from now on officially called SISTATS 🐍
AISTATS CfP is out virtual.aistats.org/Conferences/... . They also have submission quotas like ICLR 2027:
- No more than 12 submissions per author.
- Authors who do not have at least one accepted paper at ICLR, ICML, NeurIPS, or AISTATS may appear as a co-author on at most 3 submissions.
- No more than 12 submissions per author.
- Authors who do not have at least one accepted paper at ICLR, ICML, NeurIPS, or AISTATS may appear as a co-author on at most 3 submissions.
Call for Papers
virtual.aistats.org
September 9, 2026 at 3:24 PM
AISTATS CfP is out virtual.aistats.org/Conferences/... . They also have submission quotas like ICLR 2027:
- No more than 12 submissions per author.
- Authors who do not have at least one accepted paper at ICLR, ICML, NeurIPS, or AISTATS may appear as a co-author on at most 3 submissions.
- No more than 12 submissions per author.
- Authors who do not have at least one accepted paper at ICLR, ICML, NeurIPS, or AISTATS may appear as a co-author on at most 3 submissions.
AISTATS is using AI to check factual correctness 👏 Smart move @qberthet.bsky.social :)
September 3, 2026 at 6:44 PM
AISTATS is using AI to check factual correctness 👏 Smart move @qberthet.bsky.social :)
AISTATSのCfPやーーーーーっとでた ここまで引っ張って結局全然例年通りかい
September 3, 2026 at 3:56 PM
AISTATSのCfPやーーーーーっとでた ここまで引っ張って結局全然例年通りかい
As the proceedings of AISTATS are now online, I take the opportunity to advertise one more time for our joint work with my PhD student Vahe Karagulyan on empirical risk bounds for Markov chains.
More works to come on this topic soon!
proceedings.mlr.press/v300/karagul...
More works to come on this topic soon!
proceedings.mlr.press/v300/karagul...
Empirical PAC-Bayes Bounds for Markov Chains
The core of generalization theory was developed for independent observations. Some PAC and PAC-Bayes bounds are available for data that exhibit a temporal dependence. However, there are constants ...
proceedings.mlr.press
August 31, 2026 at 3:20 AM
As the proceedings of AISTATS are now online, I take the opportunity to advertise one more time for our joint work with my PhD student Vahe Karagulyan on empirical risk bounds for Markov chains.
More works to come on this topic soon!
proceedings.mlr.press/v300/karagul...
More works to come on this topic soon!
proceedings.mlr.press/v300/karagul...
ICLRとNeurIPSよりもう少し小さめで専門性が高い，AISTATS，MLSys，CoLLAs，UAIあたりのproになりたい
August 25, 2026 at 4:51 AM
ICLRとNeurIPSよりもう少し小さめで専門性が高い，AISTATS，MLSys，CoLLAs，UAIあたりのproになりたい
AISTATSの締め切りが出るの遅い．．．
August 23, 2026 at 5:17 PM
AISTATSの締め切りが出るの遅い．．．
🌐 Growth varies by AI segment: CAGR ranges 12.9%–46.3%
🚀 AI agents: Highest at 46.3% CAGR (2025–2030)
📊 Global AI market: 37.44% CAGR (2025–2033)
🏥 AI in life sciences: 24.78% CAGR (2026–2031)
#AIGrowth #AIApplications #CAGR #AIStats #AIMarket
View in Timelines
🚀 AI agents: Highest at 46.3% CAGR (2025–2030)
📊 Global AI market: 37.44% CAGR (2025–2033)
🏥 AI in life sciences: 24.78% CAGR (2026–2031)
#AIGrowth #AIApplications #CAGR #AIStats #AIMarket
View in Timelines
August 3, 2026 at 2:01 PM
🌐 Growth varies by AI segment: CAGR ranges 12.9%–46.3%
🚀 AI agents: Highest at 46.3% CAGR (2025–2030)
📊 Global AI market: 37.44% CAGR (2025–2033)
🏥 AI in life sciences: 24.78% CAGR (2026–2031)
#AIGrowth #AIApplications #CAGR #AIStats #AIMarket
View in Timelines
🚀 AI agents: Highest at 46.3% CAGR (2025–2030)
📊 Global AI market: 37.44% CAGR (2025–2033)
🏥 AI in life sciences: 24.78% CAGR (2026–2031)
#AIGrowth #AIApplications #CAGR #AIStats #AIMarket
View in Timelines
Last time I was publication chair for AISTATS, I contacted authors who had promised to release code in the form but failed to do so. A couple said there had been a misunderstanding because theirs were theory papers; I replied that they could release Lean code. Maybe that is the direction to go.
July 20, 2026 at 6:29 PM
Last time I was publication chair for AISTATS, I contacted authors who had promised to release code in the form but failed to do so. A couple said there had been a misunderstanding because theirs were theory papers; I replied that they could release Lean code. Maybe that is the direction to go.
For me it works out because the ML work I do often fits in the AAMAS scope. So it's been my top target since 2024.
If I were doing more general / broad ML work I might consider e.g. UAI or AISTATS. Or, if NeurIPS keeps splitting into multiple sites, that could help too.
If I were doing more general / broad ML work I might consider e.g. UAI or AISTATS. Or, if NeurIPS keeps splitting into multiple sites, that could help too.
July 10, 2026 at 12:45 AM
For me it works out because the ML work I do often fits in the AAMAS scope. So it's been my top target since 2024.
If I were doing more general / broad ML work I might consider e.g. UAI or AISTATS. Or, if NeurIPS keeps splitting into multiple sites, that could help too.
If I were doing more general / broad ML work I might consider e.g. UAI or AISTATS. Or, if NeurIPS keeps splitting into multiple sites, that could help too.
4/ This demo is based on several papers from our group and collaborators:
1. Chang et al. (2025, AISTATS):
acerbilab.github.io/amortized-co...
2. Huang et al. (2025, NeurIPS):
huangdaolang.com/aline/
3. Hassan et al. (2026, ICLR)
conorhassan.com/projects/art...
1. Chang et al. (2025, AISTATS):
acerbilab.github.io/amortized-co...
2. Huang et al. (2025, NeurIPS):
huangdaolang.com/aline/
3. Hassan et al. (2026, ICLR)
conorhassan.com/projects/art...
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
This website contains information about the ACE framework, a transformer-based meta-learning model that provides a unified approach for probabilistic conditioning and prediction across various machine...
acerbilab.github.io
June 18, 2026 at 4:59 AM
4/ This demo is based on several papers from our group and collaborators:
1. Chang et al. (2025, AISTATS):
acerbilab.github.io/amortized-co...
2. Huang et al. (2025, NeurIPS):
huangdaolang.com/aline/
3. Hassan et al. (2026, ICLR)
conorhassan.com/projects/art...
1. Chang et al. (2025, AISTATS):
acerbilab.github.io/amortized-co...
2. Huang et al. (2025, NeurIPS):
huangdaolang.com/aline/
3. Hassan et al. (2026, ICLR)
conorhassan.com/projects/art...
📊 AI SERVICE STAT: Companies using AI for customer service see 30% lower support costs AND 35% higher customer satisfaction scores simultaneously. CRM Connect's AI lets you do MORE with LESS. 🏆
#CRMConnect #AICustomerService #CustomerSatisfaction #BusinessEfficiency #AIStats
#CRMConnect #AICustomerService #CustomerSatisfaction #BusinessEfficiency #AIStats
May 16, 2026 at 3:31 PM
📊 AI SERVICE STAT: Companies using AI for customer service see 30% lower support costs AND 35% higher customer satisfaction scores simultaneously. CRM Connect's AI lets you do MORE with LESS. 🏆
#CRMConnect #AICustomerService #CustomerSatisfaction #BusinessEfficiency #AIStats
#CRMConnect #AICustomerService #CustomerSatisfaction #BusinessEfficiency #AIStats
📊 LEAD GEN STAT: Companies that use AI for lead nurturing see 451% more qualified leads. CRM Connect's AI nurture sequences personalize every touchpoint — from first contact to closed deal. 🏆
#CRMConnect #LeadNurturing #AIStats #QualifiedLeads #SalesGrowth
#CRMConnect #LeadNurturing #AIStats #QualifiedLeads #SalesGrowth
May 15, 2026 at 3:31 PM
📊 LEAD GEN STAT: Companies that use AI for lead nurturing see 451% more qualified leads. CRM Connect's AI nurture sequences personalize every touchpoint — from first contact to closed deal. 🏆
#CRMConnect #LeadNurturing #AIStats #QualifiedLeads #SalesGrowth
#CRMConnect #LeadNurturing #AIStats #QualifiedLeads #SalesGrowth
Very happy that our paper "High-Dimensional Analysis of Bootstrap Ensemble Classifiers" was presented as a poster at AISTATS 2026.
📄 Paper : arxiv.org/abs/2505.14587
💻 Code : github.com/hcherkaoui/o...
In this work, we analyze bootstrap ensembles in high dimensions using random matrix theory.
📄 Paper : arxiv.org/abs/2505.14587
💻 Code : github.com/hcherkaoui/o...
In this work, we analyze bootstrap ensembles in high dimensions using random matrix theory.
High-Dimensional Analysis of Bootstrap Ensemble Classifiers
Bootstrap methods have long been the cornerstone of ensemble learning in machine learning. This paper presents a theoretical analysis of bootstrap techniques applied to the Least Square Support Vector...
arxiv.org
May 14, 2026 at 7:14 PM
Very happy that our paper "High-Dimensional Analysis of Bootstrap Ensemble Classifiers" was presented as a poster at AISTATS 2026.
📄 Paper : arxiv.org/abs/2505.14587
💻 Code : github.com/hcherkaoui/o...
In this work, we analyze bootstrap ensembles in high dimensions using random matrix theory.
📄 Paper : arxiv.org/abs/2505.14587
💻 Code : github.com/hcherkaoui/o...
In this work, we analyze bootstrap ensembles in high dimensions using random matrix theory.
4/ 🧩 @chandlersquires presents "A Unifying Framework for Unsupervised Concept Extraction" at AISTATS. New preprint: https://arxiv.org/pdf/2604.24936
https://x.com/chandlersquires/status/2054062849032933432
https://x.com/chandlersquires/status/2054062849032933432
May 13, 2026 at 4:47 PM
4/ 🧩 @chandlersquires presents "A Unifying Framework for Unsupervised Concept Extraction" at AISTATS. New preprint: https://arxiv.org/pdf/2604.24936
https://x.com/chandlersquires/status/2054062849032933432
https://x.com/chandlersquires/status/2054062849032933432
📊 AI FACT: Businesses using AI tools see a 40% increase in productivity and 3x faster response times to customer inquiries.
CRM Connect's AI features put you in that elite category. 🏆
Are you ready to lead your market?
#CRMConnect #AIStats #BusinessProductivity #ArtificialIntelligence #Business
CRM Connect's AI features put you in that elite category. 🏆
Are you ready to lead your market?
#CRMConnect #AIStats #BusinessProductivity #ArtificialIntelligence #Business
May 12, 2026 at 3:30 PM
📊 AI FACT: Businesses using AI tools see a 40% increase in productivity and 3x faster response times to customer inquiries.
CRM Connect's AI features put you in that elite category. 🏆
Are you ready to lead your market?
#CRMConnect #AIStats #BusinessProductivity #ArtificialIntelligence #Business
CRM Connect's AI features put you in that elite category. 🏆
Are you ready to lead your market?
#CRMConnect #AIStats #BusinessProductivity #ArtificialIntelligence #Business
It was great to present and discuss our paper, “Rethinking Intrinsic Dimension Estimation in Neural Representations,” at #AISTATS 2026 last week🚀
📄 Paper: arxiv.org/abs/2604.20276
Joint work with @davidruegamer.bsky.social
📄 Paper: arxiv.org/abs/2604.20276
Joint work with @davidruegamer.bsky.social
May 12, 2026 at 12:41 AM
It was great to present and discuss our paper, “Rethinking Intrinsic Dimension Estimation in Neural Representations,” at #AISTATS 2026 last week🚀
📄 Paper: arxiv.org/abs/2604.20276
Joint work with @davidruegamer.bsky.social
📄 Paper: arxiv.org/abs/2604.20276
Joint work with @davidruegamer.bsky.social
Happy AISTATS, to those who celebrate! We're celebrating a long-coming paper in gradient-based optimization that we call “Moonwalk🕺: Inverse-Forward Differentiation”.
indylab.org/pub/Krylov20...
🧵/5
indylab.org/pub/Krylov20...
🧵/5
Moonwalk: Inverse-Forward Differentiation
Backpropagation’s main limitation is its need to store intermediate activations, or residuals, during the forward pass, which restricts the depth of trainable networks. This raises a fundamental quest...
indylab.org
May 5, 2026 at 3:38 PM
Happy AISTATS, to those who celebrate! We're celebrating a long-coming paper in gradient-based optimization that we call “Moonwalk🕺: Inverse-Forward Differentiation”.
indylab.org/pub/Krylov20...
🧵/5
indylab.org/pub/Krylov20...
🧵/5
Polynomial chaos expansions go deep… cool work by @ropeharz.bsky.social’s group on fusing circuits and PCEs. #AISTATS
May 4, 2026 at 3:20 PM
Polynomial chaos expansions go deep… cool work by @ropeharz.bsky.social’s group on fusing circuits and PCEs. #AISTATS