485 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
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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. Wearable Device Positioning for Activity Recognition and Monitoring.
9. Scaling Training Data with Lossy Image Compression.
10. Prigionieri dimenticati. Italiani nei lager della Grande guerra
11. A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists.
12. Towards a statistical theory of data selection under weak supervision.
13. Compressing Tabular Data via Latent Variable Estimation.
14. High-dimensional logistic regression with missing data: Imputation, regularization, and universality.
15. Scaling laws for learning with real and surrogate data.
16. On Smale's 17th problem over the reals.
17. Which exceptional low-dimensional projections of a Gaussian point cloud can be found in polynomial time?
18. Local algorithms for maximum cut and minimum bisection on locally treelike regular graphs of large degree.
19. Sampling from the Sherrington-Kirkpatrick Gibbs measure via algorithmic stochastic localization.
20. Universality of empirical risk minimization.
21. High-Dimensional Projection Pursuit: Outer Bounds and Applications to Interpolation in Neural Networks.
22. An Information-Theoretic View of Stochastic Localization.
23. Underspecification Presents Challenges for Credibility in Modern Machine Learning.
24. Six Lectures on Linearized Neural Networks.
25. Towards a statistical theory of data selection under weak supervision.
26. Learning time-scales in two-layers neural networks.
27. Sampling, Diffusions, and Stochastic Localization.
28. Learning with invariances in random features and kernel models.
29. Streaming Belief Propagation for Community Detection.
30. The estimation error of general first order methods.
31. Deep learning: a statistical viewpoint.
32. Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks.
33. Adversarial Examples in Random Neural Networks with General Activations.
34. Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit.
35. Optimization of the Sherrington-Kirkpatrick Hamiltonian.
36. Limitations of Lazy Training of Two-layers Neural Network.
37. On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition.
38. An Instability in Variational Inference for Topic Models.
39. The threshold for SDP-refutation of random regular NAE-3SAT.
40. Fundamental Limits of Weak Recovery with Applications to Phase Retrieval.
41. Contextual Stochastic Block Models.
42. When Do Neural Networks Outperform Kernel Methods?
43. An Information-Theoretic View of Stochastic Localization.
44. Minimum complexity interpolation in random features models.
45. Local algorithms for Maximum Cut and Minimum Bisection on locally treelike regular graphs of large degree.
46. Tractability from overparametrization: The example of the negative perceptron.
47. Fundamental Limits of Weak Recovery with Applications to Phase Retrieval.
48. Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality.
49. How well do local algorithms solve semidefinite programs?
50. Inference in Graphical Models via Semidefinite Programming Hierarchies.
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