# Mathematics Colloquia and Seminars

Series | Organizer |
---|---|

PDE and Applied Math Seminar | S. Shkoller (F), K. Luli (S) |

Algebra & Discrete Mathematics | A. Schilling (F), R. Krone (W), E. Gorskiy (S) |

Algebraic Geometry | E. Carlsson (F), E. Gorskiy (W), J. Simental Rodriguez (S) |

Geometry/Topology | L. Starkston (F), J. Howie (W), M. Trnkova (S) |

Mathematical Biology | M. Vazquez (F), R. Guy (W), R. Chaudhuri (S) |

Mathematical Physics & Probability | (. Temple (F), C. Tracy (W), M. Gebert (S) |

Mathematics of Data & Decisions | S. Ma (F), N. Saito (W), J. De Loera (S) |

Optimization | (Special topics only) |

QMAP Seminar | M. Mulase (F), R. Casals (W), T. Dimofte (S) |

Colloquium | J. De Loera, G. Kuperberg |

GGAM Colloquium | |

Distinguished Lecture Series | J. De Loera, G. Kuperberg |

Faculty Research Seminar | M. Mulase (W), J. Schultens (S), J. Nichols, R. Moreno-Vasquez |

Student-Run Research Seminar | A. Moon, B. Harvie |

Student-Run Geometry/Topology Seminar | Y. Chan, N. Neel, A. Alameda |

Student-Run Analysis & PDE | R. Ramani, R. Moreno-Vasquez |

Featured Campus Seminars | |

Special Events |

### Past Talks

View past talks or upcoming talks for this series.

ZOOM | Mathematics of Data & Decisions | Prem Devanbu |

Tue, May 26 2020, 4:00PM | "Basic concepts and Live Tutorial on Docker Containers for Novice Users" | |

zoom | Mathematics of Data & Decisions | Paul Atzberger, UC Santa Barbara |

Tue, May 19 2020, 4:10PM | Geometric Approaches for Machine Learning in the Sciences and Engineering | |

zoom | Mathematics of Data & Decisions | Venkat Chandrasekaran, Caltech |

Tue, May 12 2020, 4:00PM | Fitting Convex Sets to Data | |

ZOOM | Mathematics of Data & Decisions | Roummel Marcia, UC Merced |

Tue, May 5 2020, 4:00PM | Optimization Methods for Machine Learning | |

ZOOM | Mathematics of Data & Decisions | Yian Ma, UC San Diego |

Tue, Apr 28 2020, 4:00PM | Briding MCMC and Optimization | |

Zoom | Mathematics of Data & Decisions | Wotao Yin, UCLA and Alibaba |

Tue, Apr 21 2020, 4:00PM | Plug-and-Play Method: a Deep-Learning/Optimization Hybrid Approach for Image Processing | |

Zoom | Mathematics of Data & Decisions | Sam Hopkins, UC Berkeley |

Tue, Apr 14 2020, 4:00PM | From Proofs to Algorithms for High-Dimensional Statistics | |

Zoom | Mathematics of Data & Decisions | Sam Hopkins, UC Berkeley |

Tue, Apr 14 2020, 4:00PM | From Proofs to Algorithms for High-Dimensional Statistics | |

ZOOM | Mathematics of Data & Decisions | Stefano Marchesini,, Lawrence Berkeley Lab |

Tue, Apr 7 2020, 4:10PM | High Throughput Phase Retrieval | |

MSB 1147 | Mathematics of Data & Decisions | |

Tue, Mar 17 2020, 4:10PM | No seminar | |

MSB 1147 | Mathematics of Data & Decisions | Will Leeb, University of Minnesota |

Tue, Mar 10 2020, 4:10PM | Matrix Denoising with Weighted Loss | |

MSB 1147 | Mathematics of Data & Decisions | David Gamarnik, MIT Sloan School of Management |

Tue, Mar 3 2020, 4:10PM | Algorithmic Challenges in High-Dimensional Inference Models: Insights from the Statistical Physics | |

MSB 1147 | Mathematics of Data & Decisions | Guy Wolf, Université de Montréal |

Tue, Feb 25 2020, 4:10PM | Geometry-based Data Exploration | |

MSB 1147 | Mathematics of Data & Decisions | Wotao Yin, UCLA |

Tue, Feb 18 2020, 4:10PM | Canceled | |

MSB 1147 | Mathematics of Data & Decisions | Richard Levenson, UC Davis, Medical School/Pathology |

Tue, Feb 11 2020, 4:10PM | Path ↔ Math: Opportunities for cross-disciplinary adventure | |

MSB 1147 | Mathematics of Data & Decisions | Randall O'Reilly, UC Davis, Psychology/Computer Science |

Tue, Feb 4 2020, 4:10PM | Predictive Error-driven Learning in the Brain | |

MSB 1147 | Mathematics of Data & Decisions | Gal Mishne, UC San Diego |

Tue, Jan 28 2020, 4:10PM | Multiway Tensor Analysis with Neuroscience Applications | |

MSB 1147 | Mathematics of Data & Decisions | Nhat Ho, UC Berkeley |

Tue, Dec 3 2019, 4:10PM | Statistical and computational perspective of mixture and hierarchical models | |

MSB 1147 | Mathematics of Data & Decisions | Javad Lavaei, UC Berkeley |

Tue, Nov 26 2019, 4:10PM | Computational Techniques for Nonlinear Optimization and Learning Problems | |

MSB 1147 | Mathematics of Data & Decisions | James Sharpnack, UC Davis, Statistics Department |

Tue, Nov 19 2019, 4:10PM | Weak consistency of the 1-nearest neighbor measure with applications to missing data | |

MSB 1147 | Mathematics of Data & Decisions | Rishidev Chaudhuri, UC Davis, Math and NPB |

Tue, Nov 12 2019, 4:10PM | Finding and using sparse networks in neural computation | |

MSB 1147 | Mathematics of Data & Decisions | Erika Roldan Roa, Ohio State University |

Tue, Nov 5 2019, 4:10PM | Evolution of the homology and related geometric properties of the Eden Growth Model | |

MSB 1147 | Mathematics of Data & Decisions | Yu Zhang, UC Santa Cruz |

Tue, Oct 29 2019, 4:10PM | Improving Power Grid Reliability and Efficiency via Advanced Signal Processing and Machine Learning | |

MSB 1147 | Mathematics of Data & Decisions | Yuwei Fan, Stanford University |

Tue, Oct 22 2019, 4:10PM | Deep Neural Networks for PDEs | |

MSB 1147 | Mathematics of Data & Decisions | Meisam Razaviyayn, USC |

Tue, Oct 15 2019, 4:10PM | Learning via Non-Convex Min-Max Games | |

MSB 1147 | Mathematics of Data & Decisions | Xin Liu, UC Davis, CS department |

Thu, Oct 10 2019, 2:10PM | Machine Learning Meets Cellular Networks | |

MSB 2112 | Mathematics of Data & Decisions | Facundo Memoli, Ohio State University |

Tue, Oct 8 2019, 3:10PM | Gromov-Wasserstein distances and distributional invariants of datasets | |

MSB 1147 | Mathematics of Data & Decisions | Yong Jae Lee, UC Davis, CS department |

Tue, Oct 1 2019, 4:10PM | Learning to Understand Visual Data with Minimal Human Supervision | |

MSB 1147 | Mathematics of Data & Decisions | Alexander Cloninger, UCSD |

Tue, Jun 11 2019, 4:10PM | Low Frequency Kernel Eigenfunctions in Statistical Distances, Function Sampling, and Data Generation | |

MSB 1147 | Mathematics of Data & Decisions | Michael Mahoney, UC Berkeley |

Tue, Jun 4 2019, 4:10PM | Why Deep Learning Works: Traditional and Heavy-Tailed Implicit Self-Regularization in Deep Neural Networks | |

MSB 1147 | Mathematics of Data & Decisions | Lin Xiao, Microsoft Research |

Tue, May 28 2019, 4:10PM | Accelerated Bregman Proximal Gradient Method for Relatively Smooth Convex Optimization | |

MSB 1147 | Mathematics of Data & Decisions | John Carlsson, USC |

Tue, May 21 2019, 4:10PM | The continuous approximation paradigm for logistical optimization problems | |

MSB 1147 | Mathematics of Data & Decisions | Shuyang Ling |

Tue, May 7 2019, 4:10PM | Solving Inverse Problems on Networks: Graph Cuts, Optimization Landscape, Synchronization | |

MSB 1147 | Mathematics of Data & Decisions | Juan Pablo Vielma, MIT |

Tue, Apr 30 2019, 4:10PM | Modeling Power of Mixed Integer Convex Optimization Problems And Their Effective Solution with Julia and JuMP | |

MSB 2112 | Mathematics of Data & Decisions | Anna Seigal, UC Berkeley |

Tue, Apr 16 2019, 4:10PM | Learning Paths from Signature Tensors | |

MSB 1147 | Mathematics of Data & Decisions | Levent Tunçel, U Waterloo |

Tue, Apr 9 2019, 4:10PM | Total Dual Integrality for Convex, Semidefinite and Extended Formulations | |

MSB 1147 | Mathematics of Data & Decisions | Michał Dereziński, UC Berkeley |

Tue, Apr 2 2019, 4:10PM | Unbiased estimates for linear regression via volume sampling | |

MSB 1147 | Mathematics of Data & Decisions | Suvrajeet Sen, USC |

Tue, Mar 19 2019, 4:10PM | Stochastic Decomposition: A Revival | |

MSB 1147 | Mathematics of Data & Decisions | Dorit Hochbaum, UC Berkeley |

Tue, Mar 12 2019, 4:10PM | Machine Learning and Data Mining with Combinatorial Optimization | |

MSB 1147 | Mathematics of Data & Decisions | Thomas Rothvoss, U Washington |

Tue, Mar 5 2019, 4:10PM | Algorithms for Discrepancy Minimization | |

MSB 1147 | Mathematics of Data & Decisions | Dmitriy Drusvyatskiy, U Washington |

Tue, Feb 19 2019, 4:10PM | Stochastic methods for nonsmooth nonconvex optimization | |

MSB 1147 | Mathematics of Data & Decisions | Sean Kafer, U Waterloo |

Tue, Feb 12 2019, 4:10PM | The circuits of combinatorial polytopes: diameter bounds and hardness of computation | |

MSB 1147 | Mathematics of Data & Decisions | Jelena Diakonikolas, UC Berkeley |

Tue, Feb 5 2019, 4:10PM | Invariance in First-Order Convex Optimization | |

MSB 1147 | Mathematics of Data & Decisions | Ilan Adler, UC Berkeley |

Tue, Jan 29 2019, 4:10PM | A simple reduction of wide range of optimization, engineering and economics problems to Bimatrix Games. | |

MSB 1147 | Mathematics of Data & Decisions | Krishnakumar Balasubramanian, UC Davis |

Tue, Jan 22 2019, 4:10PM | Applications of Stein's Identity to Non-Convex Optimization and Sampling | |

MSB 1147 | Mathematics of Data & Decisions | Gennadiy Averkov, University of Magdeburg |

Tue, Jan 8 2019, 4:10PM | Improving cuts by means of lifting | |

MSB 1147 | Mathematics of Data & Decisions | Paul Grigas, UC Berkeley |

Mon, Dec 10 2018, 4:10PM | Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods | |

MSB 1147 | Mathematics of Data & Decisions | Anna Ma, UC San Diego |

Mon, Dec 3 2018, 4:10PM | Variants of the Randomized Kaczmarz Algorithms and its Applications | |

MSB 1147 | Mathematics of Data & Decisions | Boaz Nadler, Weizmann Institute of Science |

Mon, Nov 26 2018, 4:10PM | CANCELLED | |

MSB 1147 | Mathematics of Data & Decisions | Jelena Diakonikolas, UC Berkeley |

Mon, Nov 19 2018, 4:10PM | CANCELLED | |

MSB 1147 | Mathematics of Data & Decisions | Madeleine Udell, Cornell University |

Mon, Nov 5 2018, 4:10PM | Big Data is Low Rank | |

MSB 1147 | Mathematics of Data & Decisions | Sayan Mukherjee, Duke University |

Mon, Oct 29 2018, 4:10PM | How Many Directions Determine a Shape | |

MSB 1147 | Mathematics of Data & Decisions | Lihong Li, Google Inc. |

Mon, Oct 22 2018, 4:10PM | Reinforcement Learning as Saddle-Point Optimization | |

MSB 1147 | Mathematics of Data & Decisions | Aaron Sidford, Stanford University |

Mon, Oct 15 2018, 4:10PM | Perron-Frobenius Theory in Nearly Linear Time | |

MSB 1147 | Mathematics of Data & Decisions | Ery Arias-Castro, UC San Diego |

Mon, Oct 8 2018, 4:10PM | On using graph distances to estimate Euclidean and related distances | |

MSB 1147 | Mathematics of Data & Decisions | Joel Tropp, Caltech |

Mon, Oct 1 2018, 4:30PM | Applied random matrix theory | |

MSB 1147 | Mathematics of Data & Decisions | Andrea Montanari, Stanford University |

Mon, Oct 1 2018, 3:00PM | A Mean Field View of the Landscape of Two-Layers Neural Networks | |

MSB 1147 | Mathematics of Data & Decisions | Jorge Nocedal, Northwestern University |

Mon, Oct 1 2018, 2:00PM | Nonlinear Optimization Methods for Machine Learning |