Robin Pemantle

• Ville Satopää, Shane T. Jensen, Robin Pemantle, Lyle H. Ungar (2017), Partial Information Framework: Model-Based Aggregation of Estimates from Diverse Information Sources, Electronic Journal of Statistics, 11 (), pp. 3781-3814.
• Sham M. Kakade, Luis Ortiz, Robin Pemantle, Siddharth Suri (2005), The Economic Properties of Social Networks, NIPS.

Current Courses

• MATH0025 - Geometry And Art

  This class is about incidence geometry and projective geometry: how lines and planes intersect, and how to add points to euclidean spaces (the familiar R^2, R^3, etc.) to obtain a space that include points and lines at infinity. It's also about art, and how classical artists used projective geometry, sometimes without knowling they were doing so, to create perspective drawings that render three-dimensional space on a canvas in a way our eyes intuitively understand. The projective geometry content will be at times pretty mathy. We use axiom systems, figure out what's true about them, prove theorems, and construct abstract spaces that are models for the axioms. The applications to art will be very hands-on. Expect to sketch a lot, to draw lines on existing pieces of art or sample drawings, and to look at physical objects and attempt to capture them in perspective drawings. If you think of yourself as a bad artist (as I do) it shouldn't matter: we're all going to take a major step forward in one technical aspect of art, namely how to get the lines right in perspective drawings. If you have no real math background, or are even a bit math-phobic, that shouldn't matter either. No math background beyond algebra and trigonometry is necessary. All that is required is willingness to try your hand at logic, to learn the structure of mathematical argument, and to harness your geometric intuition.

  MATH0025001

Past Courses

• AMCS5461 - Adv Applied Probability

  The required background is (1) enough math background to understand proof techniques in real analysis (closed sets, uniform covergence, fourier series, etc.) and (2) some exposure to probability theory at an intuitive level (a course at the level of Ross's probability text or some exposure to probability in a statistics class).

• AMCS5999 - Independent Study

  Independent Study allows students to pursue academic interests not available in regularly offered courses. Students must consult with their academic advisor to formulate a project directly related to the student’s research interests. All independent study courses are subject to the approval of the AMCS Graduate Group Chair.

• AMCS9999 - Ind Study & Research

  Study under the direction of a faculty member.

• GAS6010 - Proseminar in Grad Stud

  Graduate Arts and Sciences doctoral students may register for GAS 6010 as an introduction to the methods of graduate study and research. To be conducted by individual graduate group faculty.

• MATH0025 - Geometry and Art

  This class is about incidence geometry and projective geometry: how lines and planes intersect, and how to add points to euclidean spaces (the familiar R^2, R^3, etc.) to obtain a space that include points and lines at infinity. It's also about art, and how classical artists used projective geometry, sometimes without knowling they were doing so, to create perspective drawings that render three-dimensional space on a canvas in a way our eyes intuitively understand. The projective geometry content will be at times pretty mathy. We use axiom systems, figure out what's true about them, prove theorems, and construct abstract spaces that are models for the axioms. The applications to art will be very hands-on. Expect to sketch a lot, to draw lines on existing pieces of art or sample drawings, and to look at physical objects and attempt to capture them in perspective drawings. If you think of yourself as a bad artist (as I do) it shouldn't matter: we're all going to take a major step forward in one technical aspect of art, namely how to get the lines right in perspective drawings. If you have no real math background, or are even a bit math-phobic, that shouldn't matter either. No math background beyond algebra and trigonometry is necessary. All that is required is willingness to try your hand at logic, to learn the structure of mathematical argument, and to harness your geometric intuition.

• MATH1070 - Mathematics of change, Part I

  Limits, orders of magnitude, differential and integral calculus; Taylor polynomials; estimating and bounding; probability densities. Mathematical modeling and applications to the social, economic and information sciences.

• MATH1080 - Mathematics of change, Part II

  Multivariate calculus; optimization; multivariate probability densities. Introduction to linear algebra; introduction to differential equations. Mathematical modeling and applications to the social, economic and information sciences.

• MATH1100 - Calculus for Wharton Students

  Differential calculus, integral calculus, series, differential equations and elements of multivariable calculus, with an emphasis on applications.

• MATH4990 - Supervised Study

  Study under the direction of a faculty member. Intended for a limited number ofmathematics majors.

• MATH5460 - Adv Applied Probability

  The required background is (1) enough math background to understand proof techniques in real analysis (closed sets, uniform covergence, fourier series, etc.) and (2) some exposure to probability theory at an intuitive level (a course at the level of Ross's probability text or some exposure to probability in a statistics class).

• MATH5810 - Topics in Combinatorial

  Variable topics connected to current research in combinatorial theory. Recent topics include algebraic combinatorics and symmetric functions, analytic combinatorics and discrete probability.

• MATH5999 - Independent Study

  Study under the direction of a faculty member. Hours to be arranged.

• MATH6480 - Probability Theory

  Measure theoretic foundations, laws of large numbers, large deviations, distributional limit theorems, Poisson processes, random walks, stopping times.

• MATH6490 - Stochastic Processes

  Continuation of MATH 6480/STAT 9300, the 2nd part of Probability Theory for PhD students in the math or statistics department. The main topics include Brownian motion, martingales, Ito's formula, and their applications to random walk and PDE.

• MATH8710 - Logic Seminar

  Seminar on current and recent literature in logic.

• MATH8780 - Prob & Algorithm Sem

  Seminar on current and recent literature in probability and algorithms.

• MATH8810 - Combinatorics Seminar

  Seminar on current and recent literature in combinatorics.

• STAT9300 - Probability Theory

  Measure theoretic foundations, laws of large numbers, large deviations, distributional limit theorems, Poisson processes, random walks, stopping times.

• STAT9310 - Stochastic Processes

  Continuation of MATH 6480/STAT 9300, the 2nd part of Probability Theory for PhD students in the math or statistics department. The main topics include Brownian motion, martingales, Ito's formula, and their applications to random walk and PDE.

Knowledge @ Wharton

• Brené Brown on Values, Vulnerability, and Playing to Win, Knowledge @ Wharton - 12/22/2025
• Data-First Leadership in the Age of AI, Knowledge @ Wharton - 12/22/2025
• Adopting AI: Starting Small While Thinking Big, Knowledge @ Wharton - 12/22/2025
• Where Artificial Intelligence Stands Heading Into 2026, Knowledge @ Wharton - 12/19/2025
• Inside Time’s Best Inventions and Innovation Selection Process, Knowledge @ Wharton - 12/18/2025
• Free Versus Fair Trade in a Changing Global Economy, Knowledge @ Wharton - 12/17/2025
• Breaking Down the College Football Playoff With Advanced Metrics, Knowledge @ Wharton - 12/17/2025
• Decoding the AI Bubble: Tulips, Dot-Coms, or Something Else?, Knowledge @ Wharton - 12/16/2025
• Can Reminders Help You Save More Money?, Knowledge @ Wharton - 12/15/2025
• How Banks Can Be Change Agents in Climate Consciousness, Knowledge @ Wharton - 12/15/2025