Media Summary: Rocco Servedio, Columbia University Real Analysis in Testing, Learning and Inapproximability ... Daniel Kane Harvard University March 15, 2011 We define a polynomial Computer Science/Discrete Mathematics Seminar I Topic: On the

Threshold Functions Approximation Pseudorandomness And - Detailed Analysis & Overview

Rocco Servedio, Columbia University Real Analysis in Testing, Learning and Inapproximability ... Daniel Kane Harvard University March 15, 2011 We define a polynomial Computer Science/Discrete Mathematics Seminar I Topic: On the An important theme in theoretical computer science over the last decade has been the usefulness of translating a combinatorial ... For an introduction to artificial neural networks, see Chapter 1 of my free online book: ... Raemi Monasson Ecole Normale Superieure; Simons Center for Systems Biology, IAS January 25, 2011 Boolean

This video explains the fundamentals behind Polynomial Representations of Threshold Functions and Algorithmic Applications Rocco Servedio Columbia University February 22, 2010 How many edges of the n-dimensional Boolean hypercube can be sliced ... Matus Telgarsky (University of Illinois, Urbana-Champaign) Deep Learning Boot ... And these magnification results also have sharp

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Threshold Functions: Approximation, Pseudorandomness and Learning
Deterministic Approximate Counting for Degree-2 Polynomial Threshold Functions
A PRG for Gaussian Polynomial Threshold Functions - Daniel Kane
On the Approximation Resistance of Balanced Linear Threshold Functions - Aaron Potechin
Deterministic approximate counting of polynomial threshold functions via a derandomized regularity
Limit Theorems in Pseudorandomness and Learning Theory
The Universal Approximation Theorem for neural networks
Learning with Boolean Threshold Functions, a Statistical Physics Perspective - Raemi Monasson
Understanding Thresholds in Machine Learning
Polynomial Representations of Threshold Functions and Algorithmic Applications
Average Sensitivity of Polynomial Threshold Functions - Rocco Servedio
Approximation Power
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Threshold Functions: Approximation, Pseudorandomness and Learning

Threshold Functions: Approximation, Pseudorandomness and Learning

Abstract: A degree-d

Deterministic Approximate Counting for Degree-2 Polynomial Threshold Functions

Deterministic Approximate Counting for Degree-2 Polynomial Threshold Functions

Rocco Servedio, Columbia University Real Analysis in Testing, Learning and Inapproximability ...

A PRG for Gaussian Polynomial Threshold Functions - Daniel Kane

A PRG for Gaussian Polynomial Threshold Functions - Daniel Kane

Daniel Kane Harvard University March 15, 2011 We define a polynomial

On the Approximation Resistance of Balanced Linear Threshold Functions - Aaron Potechin

On the Approximation Resistance of Balanced Linear Threshold Functions - Aaron Potechin

Computer Science/Discrete Mathematics Seminar I Topic: On the

Deterministic approximate counting of polynomial threshold functions via a derandomized regularity

Deterministic approximate counting of polynomial threshold functions via a derandomized regularity

Author: Rocco Servedio and Li-Yang Tan.

Limit Theorems in Pseudorandomness and Learning Theory

Limit Theorems in Pseudorandomness and Learning Theory

An important theme in theoretical computer science over the last decade has been the usefulness of translating a combinatorial ...

The Universal Approximation Theorem for neural networks

The Universal Approximation Theorem for neural networks

For an introduction to artificial neural networks, see Chapter 1 of my free online book: ...

Learning with Boolean Threshold Functions, a Statistical Physics Perspective - Raemi Monasson

Learning with Boolean Threshold Functions, a Statistical Physics Perspective - Raemi Monasson

Raemi Monasson Ecole Normale Superieure; Simons Center for Systems Biology, IAS January 25, 2011 Boolean

Understanding Thresholds in Machine Learning

Understanding Thresholds in Machine Learning

This video explains the fundamentals behind

Polynomial Representations of Threshold Functions and Algorithmic Applications

Polynomial Representations of Threshold Functions and Algorithmic Applications

Polynomial Representations of Threshold Functions and Algorithmic Applications

Average Sensitivity of Polynomial Threshold Functions - Rocco Servedio

Average Sensitivity of Polynomial Threshold Functions - Rocco Servedio

Rocco Servedio Columbia University February 22, 2010 How many edges of the n-dimensional Boolean hypercube can be sliced ...

Approximation Power

Approximation Power

Matus Telgarsky (University of Illinois, Urbana-Champaign) https://simons.berkeley.edu/talks/representation Deep Learning Boot ...

Session 10B - Sharp Threshold Results for Computational Complexity

Session 10B - Sharp Threshold Results for Computational Complexity

And these magnification results also have sharp