NEWSLETTER
Universally optimal mechanisms for private statistical estimation
We consider the problem of the optimal statistical estimate of instance under the restriction of differential privacy where mechanisms must ...
Tag: estimation
Model estimation method with python code
Suppose it is in a customer service center, and would like to know the probability distribution of the number of ...
Google Deepmind researchers unlock the regression potential based on decoding for tabular and density estimation tasks
Regression tasks, which imply predicting continuous numerical values, have traditionally been based on numerical heads such as Gaussian parameterizations or ...
Private and custom frequency estimation in a federated environment
Motivated by the problem of next word prediction on user devices, we present and study the problem of personalized frequency ...
Optimal private density estimation for instances in the Wasserstein distance
Estimating the density of a distribution from samples is a fundamental problem in statistics. In many practical settings, the Wasserstein ...
Accelerating particle size distribution estimation | MIT News
The pharmaceutical industry has long struggled with the problem of controlling the characteristics of a drying mixture, a critical step ...
Google AI introduces CardBench: a comprehensive benchmarking system that includes over 20 real-world databases and thousands of queries to revolutionize learned cardinality estimation
Cardinality estimation (CE) is crucial for optimizing query performance in relational databases. It involves predicting the number of intermediate results ...
Model-based heart rate estimation and phonocardiogram-based heart murmur detection
This article has been accepted at the IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 Acoustic signals ...
On statistical and efficient quality estimation for data annotation
Annotated data is an essential ingredient for training, evaluating, benchmarking, and putting machine learning models into production. Therefore, it is ...
This China AI paper proposes a small and efficient model for optical flow estimation
Optical flow estimation, a cornerstone of computer vision, allows predicting motion on a per-pixel basis between consecutive images. This technology ...
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