June 21, 2019 |
Smoke Ring Flow Peter Schroeder (California Institute of Technology) |
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications |

June 26, 2019 |
Weaving Kirchhoff Ribbons Etienne Vouga (The University of Texas at Austin) |
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications |

June 25, 2019 |
Approximating gradient flow evolutions of self-avoiding inextensible curves and elastic knots Soeren Bartels (Albert-Ludwigs-Universität Freiburg) |
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications |

June 17, 2019 |
(1) Energies and residues of manifolds and configuration saces of polygons Jun O'Hara (Chiba University) |
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications |

November 16, 2018 |
Some Remarks Robert Langlands (Institute for Advanced Study) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |

November 14, 2018 |
Eisenstein Series and L-functions Freydoon Shahidi (Purdue University) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |

November 14, 2018 |
On an analytic theory of automorphic forms for complex algebraic curves Edward Frenkel (University of California, Berkeley) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |

November 14, 2018 |
The Stable Trace Formula James Arthur (University of Toronto) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |

November 14, 2018 |
Functoriality and Beyond Endoscopy Salim Altug (Boston University) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |

November 15, 2018 |
Residue distributions and harmonic analysis on reductive groups Eric Opdam (Universiteit van Amsterdam) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |

November 15, 2018 |
The p-adic Langlands program Matthew Emerton (University of Chicago) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |

November 15, 2018 |
The geometric Langlands correspondence and electromagnetic duality Edward Frenkel (University of California, Berkeley) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |

November 15, 2018 |
Shimura Varieties Sophie Morel (Princeton University) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |

November 16, 2018 |
Endoscopy and geometry Ngo Bao Chau (University of Chicago) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |

November 16, 2018 |
Harish-Chandra characters and the local Langlands correspondence Tasho Kaletha (University of Michigan) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |

November 16, 2018 |
Constructing and characterizing a local Langlands correspondence Michael Harris (Columbia University) |
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands |

October 03, 2018 |
Interpretable Optimal Stopping Velibor Misic (University of California, Los Angeles) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 03, 2018 |
Online Assortment Optimization with Reusable Resources Vineet Goyal (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 03, 2018 |
A Conditional Gradient Approach for Nonparametric Estimation of Mixing Distributions Srikanth Jagabathula (New York University) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 03, 2018 |
Crowdsourcing Operations: Incentivizing Bike Angels in America David Shmoys (Cornell University) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 04, 2018 |
Approximation Algorithms for Network Revenue Management Huseyin Topaloglu (Cornell University) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 04, 2018 |
Smart Predict, then Optimize Adam Elmachtoub (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 04, 2018 |
Joint pricing and inventory control models with long lead times Xin Chen (University of Illinois at Urbana-Champaign) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 04, 2018 |
Distributionally Robust Linear and Discrete Optimization with Marginals Karthik Natarajan (Singapore University of Technology and Design) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 04, 2018 |
Closing the Gap: A Learning Algorithm for the Lost-Sales Inventory System with Lead Times Cong Shi (University of Michigan) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 04, 2018 |
Dynamic Assortment Planning under Various Discrete Choice Models Xi Chen (New York University) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 05, 2018 |
Where to find the next passenger on e-hailing platform? - A reinforcement learning approach Sharon Di (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 03, 2018 |
Spotting Influential Customers for Targeted Offers: From Social to Nonsocial Georgia Perakis (Massachusetts Institute of Technology) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 05, 2018 |
Design of Information Sharing Mechanisms in Service Systems Krishnamurthy Iyer (Cornell University) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 03, 2018 |
Procurement in the twenty first century: New approaches to old problems Awi Federgruen (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 05, 2018 |
Sample-Based Optimal Pricing Omar Besbes (Columbia University) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 04, 2018 |
Behavioral Analytics for Myopic Agents Philip Kaminsky (University of California, Berkeley) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 05, 2018 |
Omni-Channel Order Fulfillment: From Concept to Practice Vivek Farias (Massachusetts Institute of Technology) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 03, 2018 |
Auction Design for ROI-Constrained Buyers Ilan Lobel (New York University) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 03, 2018 |
Predicting with Proxies Hamsa Bastani (Wharton School of the University of Pennsylvania) |
Forging a New Discipline: Data-driven Supply Chain Management |

October 01, 2018 |
Scalable Collaboration for Data Science Done in Open Source Tools and Frameworks Tyler Whitehouse (Gigantum) |
Data Science Seminar |

September 24, 2018 |
Genetics of mRNA and Protein Expression in Large Yeast Populations Frank Albert (University of Minnesota, Twin Cities) |
Data Science Seminar |

February 25, 2019 |
Strong Coresets for k-Median and Subspace Approximation: Goodbye Dimension David Woodruff (Carnegie Mellon University) |
Data Science Seminar |

November 12, 2018 |
Learning from Highly Correlated Features using Graph Total Variation Rebecca Willett (University of Chicago) |
Data Science Seminar |

February 18, 2019 |
Graph Convolutional Neural Network via Scattering Dongmian Zou (University of Minnesota, Twin Cities) |
Data Science Seminar |

April 01, 2019 |
How to Deal with Big Data? Understanding Large-scale Distributed Regression Edgar Dobriban (Wharton School of the University of Pennsylvania) |
Data Science Seminar |

March 25, 2019 |
Recommendation Systems in Real Life Mark Hsiao (Netflix, Inc) |
Data Science Seminar |

October 22, 2018 |
Large Sample Asymptotics of Graph-based Methods in Machine Learning: Mathematical Analysis and Implications Nicolas Garcia-Trillos (University of Wisconsin, Madison) |
Data Science Seminar |

August 10, 2018 |
Mathematics of Big Data & Machine Learning Jeremy Kepner (Massachusetts Institute of Technology) |
Data Science Seminar |

April 15, 2019 |
Recent Advances in Wasserstein Distributionally Robust Optimization Rui Gao (The University of Texas at Austin) |
Data Science Seminar |

October 29, 2018 |
A Picture of the Energy Landscape of Deep Neural Networks Pratik Chaudhari (California Institute of Technology) |
Data Science Seminar |

December 10, 2018 |
Stratifying High-Dimensional Data Based on Proximity to the Convex Hull Boundary Lori Ziegelmeier (Macalester College) |
Data Science Seminar |

October 08, 2018 |
A PDE Approach to a Prediction Problem Involving Randomized Strategies Nadejda Drenska (University of Minnesota, Twin Cities) |
Data Science Seminar |

April 22, 2019 |
How Hard is it to Fool a Neural Net? A Mathematical Look at Adversarial Examples Tom Goldstein (University of Maryland) |
Data Science Seminar |

November 05, 2018 |
Solving Infinite Dimensional Optimization Problems with Convergence Guarantees Matthew Jacobs (University of California, Los Angeles) |
Data Science Seminar |

January 28, 2019 |
Data-Driven Distributionally Robust Appointment Scheduling Guanglin Xu (University of Minnesota, Twin Cities) |
Data Science Seminar |

April 29, 2019 |
Solving Multiscale Problems with Subsampled Data by Integrating PDE Analysis with Data Science Thomas Hou (California Institute of Technology) |
Data Science Seminar |

September 17, 2018 |
The Role of the Translation Distribution in Multi-reference Alignment William Leeb (University of Minnesota, Twin Cities) |
Data Science Seminar |

February 11, 2019 |
Style Transfer by Relaxed Optimal Transport and Self-Similarity Greg Shakhnarovich (Toyota Technological Institute at Chicago) |
Data Science Seminar |

November 26, 2018 |
Solving PDEs with Deep Learning Lexing Ying (Stanford University) |
Data Science Seminar |

November 19, 2018 |
Lipschitz Regularized Deep Neural Networks Converge and are Robust to Adversarial Perturbations Adam Oberman (McGill University) |
Data Science Seminar |

November 28, 2018 |
Convex Relaxation Approaches for Strictly Correlated Density Functional Theory Lexing Ying (Stanford University) |
Data Science Seminar |

November 29, 2018 |
Interpolative Decomposition and its Applications (Math Dept Colloquium Lecture) Lexing Ying (Stanford University) |
Data Science Seminar |

March 11, 2019 |
Robust and Phaseless PCA (and Subspace Tracking) Namrata Vaswani (Iowa State University) |
Data Science Seminar |

March 04, 2019 |
Peculiar Properties of Locally Linear Embedding -- Toward Theoretical Understanding of Unsupervised Learning Hau-tieng Wu (Duke University) |
Data Science Seminar |

May 06, 2019 |
Robust Accelerated Gradient Methods Mert Gurbuzbalaban (Rutgers, The State University Of New Jersey) |
Data Science Seminar |

February 04, 2019 |
Gromov-Monge Quasi Metrics and Distance Distributions Tom Needham (The Ohio State University) |
Data Science Seminar |

April 08, 2019 |
A Brief Overview of Quantum Computing Vlad Pribiag (University of Minnesota, Twin Cities) |
Data Science Seminar |

October 15, 2018 |
Free Component Analysis Raj Nadakuditi (University of Michigan) |
Data Science Seminar |

October 16, 2018 |
Documentation in the modern age Giacomo Nannicini (IBM) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 19, 2018 |
Panel: Research software challenges Matthias Koeppe (University of California, Davis), Ted Ralphs (Lehigh University), Matthew Saltzman (Clemson University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 16, 2018 |
Lunch - on your own or with breakout group on website management Andrew Mason (University of Auckland) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 19, 2018 |
Reports from breakout groups Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 16, 2018 |
Track 1: hands-on tutorial - Unit testing and CI in C++/Python Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 19, 2018 |
Lunch breakout group on the future of Clp/Cbc Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 16, 2018 |
Track 2: Special interest group on big-picture documentation issues Giacomo Nannicini (IBM) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 16, 2018 |
Reports from breakout groups Matthias Koeppe (University of California, Davis) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 17, 2018 |
Python bindings: Overview and challenges Jean-Paul Watson (Sandia National Laboratories) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 17, 2018 |
Alternative packages for Python bindings William Hart (Sandia National Laboratories) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 17, 2018 |
Lunch - on your own or with breakout group on licensing issues Matthew Saltzman (Clemson University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 17, 2018 |
Hands-on tutorial - Developing Python bindings William Hart (Sandia National Laboratories), Carl Laird (Sandia National Laboratories), Jean-Paul Watson (Sandia National Laboratories) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 15, 2018 |
COIN-OR and the Optimization Suite Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 17, 2018 |
Reports from breakout groups Matthias Koeppe (University of California, Davis) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 15, 2018 |
Track 1: hands-on tutorial - Version Control Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 18, 2018 |
COIN-OR interfaces: OSI, CGL Matthew Saltzman (Clemson University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 15, 2018 |
Track 2: hands-on tutorial - Build System Stefan Vigerske (GAMS Development Corporation) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 18, 2018 |
Panel: Developing generic interfaces Oscar Dowson (Northwestern University), Horand Gassmann (Dalhousie University), Bjarni Kristjansson (Maximal Software, Ltd), Matthew Saltzman (Clemson University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 15, 2018 |
Project Management Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 18, 2018 |
Lunch - on your own or with breakout group on the future of the COIN-OR Foundation Matthew Saltzman (Clemson University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 15, 2018 |
Build Tools Stefan Vigerske (GAMS Development Corporation) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 18, 2018 |
Track 2: Special interest group on interfaces Matthew Saltzman (Clemson University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 16, 2018 |
Continuous integration and testing in COIN-OR Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 18, 2018 |
Track 1: hands-on tutorial - Bug squashing: from TRAC to Github Ted Ralphs (Lehigh University) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 17, 2018 |
Python bindings for Ipopt Carl Laird (Sandia National Laboratories) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 16, 2018 |
Some Perspectives on Testing and Continuous Integration for Open Source Software William Hart (Sandia National Laboratories), John Siirola (Sandia National Laboratories) |
COIN fORgery: Developing Open Source Tools for Operations Research |

October 18, 2018 |
Reports from breakout groups Matthias Koeppe (University of California, Davis) |
COIN fORgery: Developing Open Source Tools for Operations Research |

April 09, 2018 |
Deriving stochastic heat conduction model from molecular dynamics Xiantao Li (The Pennsylvania State University) |
Working Group on Mathematical Modeling of Finite-temperature Coarse-graining |

April 09, 2018 |
Entropic barriers and dynamical coarse-graining Thomas Hudson (University of Warwick) |
Working Group on Mathematical Modeling of Finite-temperature Coarse-graining |

April 10, 2018 |
Path-space information metrics and variational inference for coarse-grained non-equilibrium steady states Petr Plechac (University of Delaware) |
Working Group on Mathematical Modeling of Finite-temperature Coarse-graining |

April 10, 2018 |
Spatial Decomposition of Entropy in the Harmonic Approximation. Applications?? Christoph Ortner (University of Warwick) |
Working Group on Mathematical Modeling of Finite-temperature Coarse-graining |

April 09, 2018 |
Coarse grained models for variance reduction in particle methods David Aristoff (Colorado State University) |
Working Group on Mathematical Modeling of Finite-temperature Coarse-graining |

June 26, 2018 |
A Survey of Recent Results on Mass Transport Gideon Simpson (Drexel University) |
Working Group on Multiscale Strategies |

June 19, 2018 |
Mechanics using quantum mechanics Phanish Suryanarayana (Georgia Institute of Technology) |
Working Group on Multiscale Strategies |

June 21, 2018 |
Symmetry, deformations and the search for unprecedented materials from first principles Amartya Banerjee (Lawrence Berkeley National Laboratory) |
Working Group on Multiscale Strategies |

June 22, 2018 |
Microstructure, wrinkling and origami in nematic elastomer sheets Paul Plucinsky (University of Minnesota, Twin Cities) |
Working Group on Multiscale Strategies |