Seminars and Colloquia by Series

Memory bounds for continual learning

Series
ACO Student Seminar
Time
Friday, January 13, 2023 - 13:00 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Binghui PengColumbia University

Memory bounds for continual learning

Abstract: Continual learning, or lifelong learning, is a formidable current challenge to machine learning. It requires the learner to solve a sequence of k different learning tasks, one after the other, while with each new task learned it retains its aptitude for earlier tasks; the continual learner should scale better than the obvious solution of developing and maintaining a separate learner for each of the k tasks.  We embark on a complexity-theoretic study of continual learning in the PAC framework. We make novel uses of communication complexity to establish that any continual learner, even an improper one, needs memory that grows linearly with k, strongly suggesting that the problem is intractable.  When logarithmically many passes over the learning tasks are allowed, we provide an algorithm based on multiplicative weights update whose memory requirement scales well; we also establish that improper learning is necessary for such performance. We conjecture that these results may lead to new promising approaches to continual learning.

 

Based on the joint work with Xi Chen and Christos Papadimitriou.

Stochastic partial differential equations in supercritical, subcritical, and critical dimensions

Series
Job Candidate Talk
Time
Friday, January 13, 2023 - 11:05 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Alexander DunlapCourant Institute, NYU

A pervading question in the study of stochastic PDE is how small-scale random forcing in an equation combines to create nontrivial statistical behavior on large spatial and temporal scales. I will discuss recent progress on this topic for several related stochastic PDEs - stochastic heat, KPZ, and Burgers equations - and some of their generalizations. These equations are (conjecturally) universal models of physical processes such as a polymer in a random environment, the growth of a random interface, branching Brownian motion, and the voter model. The large-scale behavior of solutions on large scales is complex, and in particular depends qualitatively on the dimension of the space. I will describe the phenomenology, and then describe several results and challenging problems on invariant measures, growth exponents, and limiting distributions.

Continuity of the Lyapunov exponent for analytic multi-frequency quasi-periodic cocycles

Series
Math Physics Seminar
Time
Thursday, January 12, 2023 - 12:00 for 1 hour (actually 50 minutes)
Location
Skiles Room 005
Speaker
Matthew PowellSchool of Mathematics, Georgia Tech

The purpose of this talk is to discuss our recent work on multi-frequency quasi-periodic cocycles, establishing continuity (both in cocycle and jointly in cocycle and frequency) of the Lyapunov exponent for non-identically singular cocycles. Analogous results for one-frequency cocycles have been known for over a decade, but the multi-frequency results have been limited to either Diophantine frequencies (continuity in cocycle) or SL(2,C) cocycles (joint continuity). We will discuss the main points of our argument, which extends earlier work of Bourgain.

On the Optimal Control of McKean Vlasov SDE and Mean Field Games in Infinite Dimension

Series
PDE Seminar
Time
Tuesday, January 10, 2023 - 15:00 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Fausto GozziLuiss University

In this talk we report on recent works (with A. Cosso, I. Kharroubi, H. Pham, M. Rosestolato) on the optimal control of (possibly path dependent) McKean-Vlasov equations valued in Hilbert spaces. On the other side we present the first ideas of a work with S. Federico, D. Ghilli and M. Rosestolato, on Mean Field Games in infinite dimension.

We will begin by presenting some examples for both topics and their relations. Then most of the time will be devoted to the first topic and the main results (the dynamic programming principle, the law invariance property of the value function, the Ito formula and the fact that the value function is a viscosity solution of the HJB equation, a first comparison result).

We conclude, if time allows, with the first ideas on the solution of the HJB-FKP system arising in mean Field Games in infinite dimension.

Symmetric group representations and break divisors on graphs

Series
Job Candidate Talk
Time
Tuesday, January 10, 2023 - 11:00 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Vasu TewariUniversity of Hawaii

Please Note: Live streamed but not recorded: https://gatech.zoom.us/j/93724280805

The last decade has witnessed great interest in the study of divisors of graphs and a fascinating combinatorially-rich picture has emerged. The class of break divisors has attracted particular attention, for reasons both geometric and combinatorial. I will present several representation-theoretic results in this context.

I will demonstrate how certain quotients of polynomial rings by power ideals, already studied by Ardila-Postnikov, Sturmfels-Xu, Postnikov-Shapiro amongst others, arise by applying the method of orbit harmonics to break divisors. These quotients then naturally afford symmetric group representations which are not entirely understood yet. By describing the invariant spaces of these representations in terms of break divisors, I will answer a combinatorial question from the setting of cohomological Hall algebras.

A Tale of Two Theorems of Thurston

Series
Geometry Topology Seminar
Time
Monday, January 9, 2023 - 14:00 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Dan MargalitGeorgia Institute of Technology

In the 20th century, Thurston proved two classification theorems, one for surface homeomorphisms and one for branched covers of surfaces.  While the theorems have long been understood to be analogous, we will present new work with Belk and Winarski showing that the two theorems are in fact special cases of one Ubertheorem.  We will also discuss joint work with Belk, Lanier, Strenner, Taylor, Winarski, and Yurttas on algorithmic aspects of Thurston’s theorem.  This talk is meant to be accessible to a wide audience.

Dynamics, number theory, and unlikely intersections

Series
Job Candidate Talk
Time
Monday, January 9, 2023 - 11:00 for 1 hour (actually 50 minutes)
Location
Skiles 006 and https://gatech.zoom.us/j/99998037632?pwd=Q2VNMVRCQUdUeWVpUW8xRzVIanBwQT09
Speaker
Myrto MavrakiHarvard

Fruitful interactions between arithmetic geometry and dynamical systems have emerged in recent years. In this talk I will illustrate how insights from complex dynamics can be employed to study problems from arithmetic geometry. And conversely how arithmetic geometry can be used in the study of dynamical systems. The motivating questions are inspired by a recurring phenomenon in arithmetic geometry known as `unlikely intersections' and conjectures of Pink and Zilber therein. More specifically, I will discuss work toward understanding the distribution of preperiodic points in subvarieties of families of rational maps.

Prediction problems and second order equations

Series
Job Candidate Talk
Time
Thursday, December 15, 2022 - 11:00 for 1 hour (actually 50 minutes)
Location
Skiles 006 or https://gatech.zoom.us/j/98373229920
Speaker
Ibrahim EkrenFlorida State University

We study the long-time regime of the prediction with expert advice problem in both full information and adversarial bandit feedback setting. We show that with full information, the problem leads to second order parabolic partial differential equations in the Euclidean space. We exhibit solvable cases for this equation and discuss the optimal behavior of both agents. In the adversarial bandit feedback setting, we show that the problem leads to second order parabolic equations in the Wasserstein space which allows us to obtain novel regret bounds. Based on joint works with Erhan Bayraktar and Xin Zhang.

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