University of California San Diego
Toward a practical theory of deep learning |
Massachusetts Institute of Technology
Mathematical Foundations for Physical Agents |
Yale University
Analyzing Data with Systematic Bias: Truncation and Self-Selection |
University of California, Davis
Fine-Grained Extensions of the Low-Degree Testing Framework |
University of Oxford
Inferential Machine Learning: Statistics, Data Science, and Public Policy |
Massachusetts Institute of Technology
Learning from Dynamics |
Associate Professor, Management Science & Engineering (MS&E) Institute for Computational & Mathematical Engineering (ICME) Cisco Systems Faculty Scholar, School of Engineering Stanford University
Harvesting randomness to understand computational social systems |
University of Texas at Austin
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation |
Professor with the Gatsby Computational Neuroscience Unit; director of the Centre for Computational Statistics and Machine Learning (CSML) at UCL; and Research Scientist at Google Deepmind.
Causal Effect Estimation with Context and Confounders |
Georgia Institute of Technology
Robust Statistics in High Dimension |
Harvard John A. Paulson School of Engineering and Applied Sciences
Strategic Design to Improve Information Integrity |
University of Pennsylvania, Wharton School
Analyzing genetic summary data: statistical models and platforms |
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Northwestern University
Emergent outlier subspaces in high-dimensional stochastic gradient descent |
MIT
Capacity threshold for the Ising perceptron |
University of Texas at Austin
Efficient Algorithms for Domain Adaptation |
Boston University
Privacy in Machine Learning and Statistical Inference |
Cornell University
Unreasonable Effectiveness of Distributional Reinforcement Learning |
MIT
Clustering and phase transitions in transformers |
University of California, Berkeley
Multivariate nonparametric regression using mixed partial derivatives |
Cornell University
Learning Large Softmax Mixtures with Warm Start EM |
University of California, San Diego
TBA |
University of California, Los Angeles
Recent Results on Mean Field Games, Optimal Transport, and In-Context Learning |
University of California, San Diego
TBA |
