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Semi-Supervised Learning with the p-Laplacian in Geometric Methods in Machine Learning and Data Analysis
Presenter
- Nadejda Drenska
March 12, 2024
ICERM
Sitan Chen - Provably learning a multi-head attention layer - IPAM at UCLA
Presenter
- Sitan Chen
February 29, 2024
IPAM
Abhineet Agarwal - Understanding and overcoming the statistical limitations of decision trees
Presenter
- Abhineet Agarwal
February 27, 2024
IPAM
Computing Greatest Common Divisors of Polynomials in Parallel
Presenter
- Robert Andrews
February 27, 2024
IAS
Effective communication as a learning objective in an intermediate statistics course
Presenter
- Maria Tackett
January 11, 2024
IMSI
Clustering-independent estimation of cell abundances in bulk tissues using single-cell RNA-seq data
Presenter
- Pablo Camara
December 12, 2023
ICERM
Bias and Variance of Bayes Cross Validation in Singular Learning Theory
Presenter
- Sumio Watanabe
December 11, 2023
IMSI
Toward Better Depth Lower Bounds: A KRW-like theorem for Strong Composition
Presenter
- Or Meir
December 4, 2023
IAS
Generalizing trial evidence to target populations in non-nested designs: Applications to AIDS clinical trials
Presenter
- Ashley Buchanan
November 17, 2023
ICERM
Structured variability and its roles in neural computation: the hippocampus perspective
Presenter
- Cristina Savin
October 30, 2023
ICERM
Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA
Presenter
- Juan Carrasquilla
October 16, 2023
IPAM
A Sanov-type theorem for Unimodular Marked Random Graphs, and its applications
Presenter
- Kavita Ramanan
September 30, 2023
ICERM