Harvard CMSA

Nazim Bouatta | Machine learning for protein structure prediction, Part 1: Algorithm space

Shahar Hadar | Resolving the photon ring

Melissa Dell | Efficient OCR for Building a Diverse Digital History

David McAllester | Type Theory from the Perspective of Artificial Intelligence

Ilias Zadik | Revisiting Jerrum’s Metropolis Process for the Planted Clique Problem

Florent Krzakala | Are Gaussian data all you need for machine learning theory?

Michael Freedman | Can embedding problems be used to distinguish S^4 from other homotopy 4-spheres?

Big Data Conference 2022

Ankit Anand and Abbas Mehrabian | From Theorem Proving to Disproving

Roman Bezrukavnikov | From affine Hecke category to invariant distributions

Tommi Jaakkola | Generative modeling and physical processes

Devavrat Shah | On counterfactual inference with unobserved confounding via exponential family

Peter Shor | Quantum error correcting codes and fault tolerance

Subhabrata Sen | Mean-field approximations for high-dimensional Bayesian regression

Axes and Coordinate Systems in Representing Object Shape and Orientation

John Francis | Integrating braided categories over 3-manifolds

Minhyong Kim | Arithmetic topology and field theory

Morgane Austern | To split or not to split that is the question...

Yihong Wu | Random graph matching at Otter’s threshold via counting chandeliers

Patrick Rebeschini | Implicit regularization via uniform convergence

Yury Polyanskiy | Recent results on broadcasting on trees and stochastic block model

Dan Roberts | The Principles of Deep Learning Theory

Yanwen Luo | The deformation space of geodesic triangulations and Tutte’s embedding

Noah Cowan | Toward a Control Theory for Active Sensing

Shape Analysis of Functional Data

Scott Aaronson | How Much Math Is Knowable?

Big Data 2017 | Tracy Ke

Christina Lee Yu | Exploiting Neighborhood Interference w/Low Order Interactions...

David Ben-Zvi | The Langlands program via arithmetic QFT

Theo McKenzie | Spectral statistics for sparse random graphs

Ho Tat Lam | Dipolar and modulated symmetry protected topological phases

Donaldson-Thomas and Gromov-Witten Theories with Artan Sheshmani

Anastasia Volovich | Scattering Amplitudes and Cluster Algebras

Modeling multivariate time series in economics: Autoregressions versus Recurrent Neural Networks

Gary Choi | Quantifying shape variation using quasi-conformal geometry

Emil Saucan | Geometric Persistent Homology for networks and hypernetworks

Fei Yan | Topological defects on the lattice

Keenan Crane | Geometry Processing with Intrinsic Triangulations I

Mark Shoemaker | Genus-zero Gromov—Witten Theory under extremal transitions

Yiannis Vlassopoulos | ReLU and Softplus neural nets as zero-sum, turn-based, stopping games

Mike Jordan, "Computational thinking, inferential thinking and Big Data"

Minlie Huang | Controllable Text Generation

Alex Damian | Understanding Optimization in Deep Learning with Central Flows

Nazim Bouatta | Machine learning for protein structure prediction, Part 1: Algorithm space

Curtis Bright & Vijay Ganesh | When Computer Algebra Meets Satisfiability

Pragya Sur | A New Central Limit Theorem for the Augmented IPW estimator in high dimensions

Clark Barwick | Factorization algebras in quite a lot of generality

Mikhail Molodyk | An analogue of non-interacting quantum field theory in Riemannian signature

Guy Bresler | Algorithmic Decorrelation and Planted Clique in Dependent Random Graphs

Dmitry Krotov | Modern Hopfield Networks for Novel Transformer Architectures

Jake Abernethy | Optimization, Learning, and Margin-maximization via Playing Games