Statistical Learning and Data Science, ASA
Events insgesamt
Events insgesamt
Statistical Learning and Data Science, ASA
Neu (1)
Open Research Problems for Statistical Learning and Data Science
Mittwoch um 17:00 UTC
Kostenlos
Open Research Problems for Statistical Learning and Data Science
Mittwoch um 17:00 UTC
Kostenlos
Alt (46)
Advice for early-career researchers
Do., 31. Juli, 15:00 UTC
Kostenlos
Trees and V’s: Inference for Ensemble Models
Di., 1. Juli, 18:00 UTC
Kostenlos
Reinforcement Learning in the Dyadic Setting
Mi., 4. Juni, 18:00 UTC
Kostenlos
Functional accelerometer data analysis via mixed integer optimization
Do., 8. Mai, 19:00 UTC
Kostenlos
Distributional learning for wearable data
Mi., 2. Apr., 19:00 UTC
Kostenlos
Learning from aggregated data
Mi., 26. Feb., 18:00 UTC
Kostenlos
Revisiting neural network approximation theory in the age of generative AI
Mi., 22. Jan., 19:00 UTC
Kostenlos
How Statistics Can Advance LLMs: Fairness Alignment and Watermarking
Di., 3. Dez., 18:00 UTC
Kostenlos
A Comparison of Methods of Cross-Validation for Small Data
Di., 19. Nov., 18:00 UTC
Kostenlos
High-Dimensional Statistical Inference
Di., 29. Okt., 18:00 UTC
Kostenlos
Winners with Confidence: Discrete Argmin Inference to Model Selection
Di., 24. Sept., 17:00 UTC
Kostenlos
Statistical methods for assessing factual accuracy of large language models
Do., 29. Aug., 17:00 UTC
Kostenlos
Advice for early-career researchers
Do., 31. Juli, 15:00 UTC
Kostenlos
Trees and V’s: Inference for Ensemble Models
Di., 1. Juli, 18:00 UTC
Kostenlos
Reinforcement Learning in the Dyadic Setting
Mi., 4. Juni, 18:00 UTC
Kostenlos
Functional accelerometer data analysis via mixed integer optimization
Do., 8. Mai, 19:00 UTC
Kostenlos
Distributional learning for wearable data
Mi., 2. Apr., 19:00 UTC
Kostenlos
Learning from aggregated data
Mi., 26. Feb., 18:00 UTC
Kostenlos
Revisiting neural network approximation theory in the age of generative AI
Mi., 22. Jan., 19:00 UTC
Kostenlos
How Statistics Can Advance LLMs: Fairness Alignment and Watermarking
Di., 3. Dez., 18:00 UTC
Kostenlos
A Comparison of Methods of Cross-Validation for Small Data
Di., 19. Nov., 18:00 UTC
Kostenlos
High-Dimensional Statistical Inference
Di., 29. Okt., 18:00 UTC
Kostenlos
Winners with Confidence: Discrete Argmin Inference to Model Selection
Di., 24. Sept., 17:00 UTC
Kostenlos
Statistical methods for assessing factual accuracy of large language models
Do., 29. Aug., 17:00 UTC
Kostenlos
Events
Open Research Problems for Statistical Learning and Data Science
Mittwoch um 17:00 UTC
Kostenlos
Open Research Problems for Statistical Learning and Data Science
Mittwoch um 17:00 UTC
Kostenlos
Advice for early-career researchers
Do., 31. Juli, 15:00 UTC
Kostenlos
Trees and V’s: Inference for Ensemble Models
Di., 1. Juli, 18:00 UTC
Kostenlos
Reinforcement Learning in the Dyadic Setting
Mi., 4. Juni, 18:00 UTC
Kostenlos
Functional accelerometer data analysis via mixed integer optimization
Do., 8. Mai, 19:00 UTC
Kostenlos
Distributional learning for wearable data
Mi., 2. Apr., 19:00 UTC
Kostenlos
Learning from aggregated data
Mi., 26. Feb., 18:00 UTC
Kostenlos
Revisiting neural network approximation theory in the age of generative AI
Mi., 22. Jan., 19:00 UTC
Kostenlos
How Statistics Can Advance LLMs: Fairness Alignment and Watermarking
Di., 3. Dez., 18:00 UTC
Kostenlos
A Comparison of Methods of Cross-Validation for Small Data
Di., 19. Nov., 18:00 UTC
Kostenlos
High-Dimensional Statistical Inference
Di., 29. Okt., 18:00 UTC
Kostenlos
Winners with Confidence: Discrete Argmin Inference to Model Selection
Di., 24. Sept., 17:00 UTC
Kostenlos
Statistical methods for assessing factual accuracy of large language models
Do., 29. Aug., 17:00 UTC
Kostenlos
Advice for early-career researchers
Do., 31. Juli, 15:00 UTC
Kostenlos
Trees and V’s: Inference for Ensemble Models
Di., 1. Juli, 18:00 UTC
Kostenlos
Reinforcement Learning in the Dyadic Setting
Mi., 4. Juni, 18:00 UTC
Kostenlos
Functional accelerometer data analysis via mixed integer optimization
Do., 8. Mai, 19:00 UTC
Kostenlos
Distributional learning for wearable data
Mi., 2. Apr., 19:00 UTC
Kostenlos
Learning from aggregated data
Mi., 26. Feb., 18:00 UTC
Kostenlos
Revisiting neural network approximation theory in the age of generative AI
Mi., 22. Jan., 19:00 UTC
Kostenlos
How Statistics Can Advance LLMs: Fairness Alignment and Watermarking
Di., 3. Dez., 18:00 UTC
Kostenlos
A Comparison of Methods of Cross-Validation for Small Data
Di., 19. Nov., 18:00 UTC
Kostenlos
High-Dimensional Statistical Inference
Di., 29. Okt., 18:00 UTC
Kostenlos
Winners with Confidence: Discrete Argmin Inference to Model Selection
Di., 24. Sept., 17:00 UTC
Kostenlos
Statistical methods for assessing factual accuracy of large language models
Do., 29. Aug., 17:00 UTC
Kostenlos