Statistics and Data Science Seminar Series Ohad Shamir
Size-Independent Sample Complexity of Neural Networks
MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.
MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.
MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.
Abstract: We give a solution to the following question from manifold learning. Suppose data belonging to a high dimensional Euclidean space is drawn independently, identically distributed from a measure supported on a low dimensional twice differentiable embedded compact manifold M, and is corrupted by a small amount of i.i.d gaussian noise. How can we produce…
MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.
MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.
Abstract: We give a solution to the following question from manifold learning. Suppose data belonging to a high dimensional Euclidean space is drawn independently, identically distributed from a measure supported on a low dimensional twice differentiable embedded compact manifold M, and is corrupted by a small amount of i.i.d gaussian noise. How can we produce…