189 results on '"Andrea Montanari"'
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2. A Combined Use of Custom-Made Partial Pelvic Replacement and Proximal Femur Megaprosthesis in the Treatment of Severe Bone Loss after Multiple Total Hip Arthroplasty Revisions
3. Phosphaturic Mesenchymal Tumors with or without Phosphate Metabolism Derangements
4. Urban environment influences on stress, autonomic reactivity and circadian rhythm: protocol for an ambulatory study of mental health and sleep
5. Micro urban spaces and mental well-being: Measuring the exposure to urban landscapes along daily mobility paths and their effects on momentary depressive symptomatology among older population
6. Does Surgical Approach Influence Complication Rate of Hip Hemiarthroplasty for Femoral Neck Fractures? A Literature Review and Meta-Analysis
7. The Industrial Revolution. Landscapes of a divided nation. Un progetto didattico di ricerca-azione in rete per la scuola secondaria di secondo grado
8. Prigionieri dimenticati. Italiani nei lager della Grande guerra
9. A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists.
10. High-dimensional logistic regression with missing data: Imputation, regularization, and universality.
11. Scaling Training Data with Lossy Image Compression.
12. Scaling laws for learning with real and surrogate data.
13. On Smale's 17th problem over the reals.
14. Which exceptional low-dimensional projections of a Gaussian point cloud can be found in polynomial time?
15. Local algorithms for maximum cut and minimum bisection on locally treelike regular graphs of large degree.
16. An Information-Theoretic View of Stochastic Localization.
17. Underspecification Presents Challenges for Credibility in Modern Machine Learning.
18. Six Lectures on Linearized Neural Networks.
19. Towards a statistical theory of data selection under weak supervision.
20. Learning time-scales in two-layers neural networks.
21. Compressing Tabular Data via Latent Variable Estimation.
22. Sampling, Diffusions, and Stochastic Localization.
23. Deep learning: a statistical viewpoint.
24. Sampling from the Sherrington-Kirkpatrick Gibbs measure via algorithmic stochastic localization.
25. Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks.
26. Universality of empirical risk minimization.
27. Adversarial Examples in Random Neural Networks with General Activations.
28. An Information-Theoretic View of Stochastic Localization.
29. Learning with invariances in random features and kernel models.
30. Minimum complexity interpolation in random features models.
31. Streaming Belief Propagation for Community Detection.
32. Local algorithms for Maximum Cut and Minimum Bisection on locally treelike regular graphs of large degree.
33. Tractability from overparametrization: The example of the negative perceptron.
34. Fundamental Limits of Weak Recovery with Applications to Phase Retrieval.
35. Generating Random Networks Without Short Cycles.
36. A Statistical Model for Motifs Detection.
37. When Do Neural Networks Outperform Kernel Methods?
38. The Lasso with general Gaussian designs with applications to hypothesis testing.
39. The Interpolation Phase Transition in Neural Networks: Memorization and Generalization under Lazy Training.
40. The estimation error of general first order methods.
41. Underspecification Presents Challenges for Credibility in Modern Machine Learning.
42. On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank One Perturbations of Gaussian Tensors.
43. Linearized two-layers neural networks in high dimension.
44. Surprises in High-Dimensional Ridgeless Least Squares Interpolation.
45. Analysis of a Two-Layer Neural Network via Displacement Convexity.
46. Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit.
47. On the computational tractability of statistical estimation on amenable graphs.
48. Limitations of Lazy Training of Two-layers Neural Networks.
49. Non-Negative Principal Component Analysis: Message Passing Algorithms and Sharp Asymptotics.
50. Effective compression maps for torus-based cryptography.
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