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Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
Vudtiwat Ngampruetikorn · David Schwab
Thu 9:00 Acceleration in Distributed Sparse Regression
Marie Maros · Gesualdo Scutari
Tue 14:00 Robust Testing in High-Dimensional Sparse Models
Anand Jerry George · ClĂ©ment L Canonne
Wed 9:00 Interpolation and Regularization for Causal Learning
Leena Chennuru Vankadara · Luca Rendsburg · Ulrike Luxburg · Debarghya Ghoshdastidar
Thu 9:00 A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
Binh T. Nguyen · Bertrand Thirion · Sylvain Arlot
Thu 9:00 Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion
Haixu Ma · Donglin Zeng · Yufeng Liu
Wed 14:00 The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
Afonso S Bandeira · Ahmed El Alaoui · Samuel Hopkins · Tselil Schramm · Alexander S Wein · Ilias Zadik