CCIMI Seminars


2015-10-13 14:00: The positive Jacobian constraint in elasticity theory and orientation-preserving Young measures (Dr Filip Rindler, University of Warwick)

2016-10-27 15:00: Sparse recovery by l0 penalty (Bangti Jin (UCL))

2016-11-01 15:00: Optical Flow on Evolving Sphere-Like Surfaces (Lukas Lang (University of Vienna))

2016-11-03 14:00: Semidefinite approximations of matrix logarithm (Hamza Fawzi, University of Cambridge)

2016-11-14 14:00: Free Boundaries and Price Formation in Economic Markets (Peter Markowich)

2016-11-16 14:00: Effective inversion of the attenuated X-ray transform associated with a connection. (Gabriel Paternain - DPMMS)

2016-11-28 14:00: Phaseless super-resolution using masks (James Saunderson, Monash University)

2016-11-30 14:00: Inferring rapidly-varying big data time series--from deconvolution to a new form of time series model (Sofia Olhede, UCL)

2016-12-01 15:00: Quantum Dots and Dislocations: Dynamics of Materials Defects (Irene Fonseca, Carnegie Mellon University)

2017-01-13 14:00: A new perspective from Information Theory on genetic sequences (Omri Tal, Max Planck Institute for Mathematics in the Sciences)

2017-01-25 14:00: Estimation in the Ising blockmodel (Quentin Berthet)

2017-02-07 16:00: Decision-making and artificial general intelligence using deep neural networks (Audrunas Gruslys, Google Deep Mind)

2017-02-10 14:00:  Flux and context-dependent graphs for metabolic networks (Mariano Beguerisse, Oxford)

2017-02-10 15:00: Applications of numerical algebraic geometry (Heather Harrington Oxford)

2017-02-22 14:00: Advancing Medicine through Data Science, Machine Learning and Artificial Intelligence  (Mihaela van der Schaar, University of Oxford and Alan Turing Institute)

2017-02-28 16:00: An industrial researcher’s learning experience (Evren Yarman, Schlumberger)

2017-03-01 14:00: From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming ( Tobias Sutter, ETH Zurich)

2017-03-07 16:00: Below zero - negative interest rates as a challenge for the financial sector (Helge Grütjen, D-Fine Ltd)

2017-03-08 14:00: Practical Bayesian modelling: Populism, polls, and petitions.   (Tom Gillam (Cantab Capital Partners))

2017-03-14 16:00: Modelling commodity prices using novel data sources (Chris Longworth, Cantab)

2017-03-15 14:00: STORM: Stochastic Trust Region Framework with Random Models (Katya Scheinberg, Lehigh University)

2017-04-05 15:00: Local Convergence of the Heavy-ball Method and iPiano for Non-convex Optimization (Peter Ochs (Albert-Ludwigs-University Freiburg))

2017-05-03 16:00: Tipping Points & Crises  From statistical physics to social sciences  (Professor Jean-Philippe BOUCHAUD, Ecole Polytechnic and Capital Fund Management plc)

2017-05-17 14:00: A macroscopic limit for an ecology model. (Gaël Raoul (Ecole polytechnique))

2017-05-18 15:00: Energy methods for the geodesic X-ray transform (Mikko Salo (University of Jyväskylä))

2017-05-26 14:00: Learning and Sparse Control of Multiagent Systems (Massimo Fornasier (TUM - Technische Universität München))

2017-05-26 17:00:  CCIMI special lecture: Mathematics Enters the Picture (Massimo Fornasier (TUM - Technische Universität München))

2017-05-31 14:00: Exceptional orthogonal polynomials (David Gomez-Ullate (ICMAT and Universidad Complutense de Madrid))

2017-06-01 15:00: Stabilizing unstable flows by coarse mesh observables  and actuators - a pavement to data assimilation (Edriss Titi (Weizmann Institite &  Texas A&M University))

2017-06-02 16:00: Microstructure imaging with MRI, data-driven disease progression modelling, and other topics at UCL-CMIC (Danny Alexander, UCL)

2017-06-07 14:00: On the long time stability of travelling wave for the discrete nonlinear Schroedinger equations (Erwan Faou (Inria))

2017-06-14 13:30: Seemingly Unrelated Regression models for mixed-type data with an application to "fine-mapping" in genetics (Leonardo Bottolo (MRC Biostatistics Unit & ATI fellow))

2017-06-14 16:00: Physical Perspectives on Modern Computation (Samuel Power (University of Cambridge))

2017-10-04 16:00: CCIMI Seminar: Kernel-based Methods for Bandit Convex Optimization (Sébastien Bubeck (Microsoft Research Redmond))

2017-11-01 14:00: Randomised dimensionality reduction for persistent homology (Martin Lotz - University of Manchester)

2017-11-15 16:00: CCIMI Student Video Contest (CCIMI students)

2017-11-16 14:00: Functions of bounded variation and derivative-based regularisation. Short Course: Higher order regularisation in imaging - Lecture 1 (Martin Holler, University of Graz)

2017-11-21 14:00: Total Generalised Variation regularisaton for linear inverse problems. Short Course: Higher order regularisation in imaging - Lecture 2 (Martin Holler, University of Graz)

2017-11-23 14:00: Applications and extensions. Short Course: Higher order regularisation in imaging - Lecture 3 (Martin Holler, University of Graz)

2017-11-29 14:00: Bayesian Probabilistic Numerical Methods (Chris Oates - Newcastle Universtity)

2018-01-31 14:00: Bregman distances in frequentist inverse problems (Tapio Helin, University of Helsinki)

2018-02-21 14:00:  Theory for local optima of nonconvex high-dimensional M-estimators (Po-Ling Loh, University of Wisconsin - Madison)

2018-03-13 14:00: Introduction to convex optimization and iterative methods (Volkan Cevher (Laboratory For Information And Inference Systems, LIONS))

2018-03-13 15:00: Unconstrained smooth minimization (Volkan Cevher (Laboratory For Information And Inference Systems, LIONS))

2018-03-13 16:00: Variable metric methods  (Volkan Cevher (Laboratory For Information And Inference Systems, LIONS))

2018-03-14 14:00: Constrained convex minimization - Part 1 (Volkan Cevher (Laboratory For Information And Inference Systems, LIONS))

2018-03-14 15:00: Constrained convex minimization - Part 2 (Volkan Cevher (Laboratory For Information And Inference Systems, LIONS))

2018-03-14 16:00: Constrained convex minimization - Part 3 (Volkan Cevher (Laboratory For Information And Inference Systems, LIONS))

2018-03-15 14:00: Stochastic gradient & Random coordinate descent methods - Part 1 (Volkan Cevher (Laboratory For Information And Inference Systems, LIONS))

2018-03-15 15:00: Stochastic gradient & Random coordinate descent methods - Part 2 (Volkan Cevher (Laboratory For Information And Inference Systems, LIONS))

2018-03-15 16:00: Stochastic gradient & Random coordinate descent methods - Part 3 (Volkan Cevher (Laboratory For Information And Inference Systems, LIONS))

2018-03-26 16:30: Auction Design via Optimal Transportation (Constantinos Daskalakis (MIT))

2018-03-29 15:00: Improving Generative Adversarial Networks using Game Theory and Statistics (Constantinos Daskalakis (MIT))

2018-05-01 14:00: Quantum Computing - Theory and Practice: Introduction and overview (Lior Horesh, IBM)

2018-05-02 14:00: Quantum Computing - Theory and Practice: The Qubit and Quantum computation (Lior Horesh, IBM)

2018-05-03 14:00: Quantum Computing - Theory and Practice:  Quantum algorithms, quantum noise and quantum operations (Lior Horesh, IBM)

2018-05-04 11:00: Multipartite SLOCC and LOCC transformations (Barbara Kraus, University of Innsbruck)

2018-05-04 12:00: Quantum conditional mutual information (Omar Fawzi, ENS de Lyon)

2018-05-04 14:00: Undecidability in Quantum Physics: Hilbert’s Second and Sixth Problems Meet (David Pérez García, Complutense University of Madrid)

2018-05-04 15:30: Landauer's Principle in Repeated Interaction Systems (Yan Pautrat, Paris-Sud University)

2018-05-08 17:00: Reconciling Bayesian Regularization And Total Variation Regularization - CCIMI colloquium (Andrew Stuart, Caltech)

2018-05-09 14:00: Spectral rigidity of the round Earth (Joonas Ilmavirta, University of Jyväskylä)

2018-05-09 15:30: Relevance Forcing: More Interpretable Neural Networks through Prior Knowledge ( Christian Etmann (University of Bremen))

2018-05-25 14:00: Structured deep models: Deep learning on graphs and beyond (Thomas Kipf, University of Amsterdam)

2018-06-04 14:00: First-order methods for large scale optimisation problems - Convex analysis (Stephen Becker, University of Colorado)

2018-06-08 14:00: First-order methods for large scale optimisation problems - Convex optimization problems and optimality (Stephen Becker, University of Colorado)

2018-06-11 14:00: First-order methods for large scale optimisation problems - Modern first-order methods for structured convex problems (Stephen Becker, University of Colorado)

2018-06-15 14:00: First-order methods for large scale optimisation problems - Additional large-scale algorithms (Stephen Becker, University of Colorado)

2018-10-31 14:00: Estimation of Low-Rank Matrices via Approximate Message Passing (Dr Ramji Venkataramanan)

2018-11-07 14:00: Adaptive and robust nonparametric Bayesian contraction rates for discretely observed compound Poisson processes (Dr Alberto J. Coca)

2018-11-26 14:00: Gen-Oja: A Simple and Efficient Algorithm for Streaming Generalized Eigenvector Computation (Dr Nicolas Flammarion)

2019-01-25 16:00: Geometric MCMC for infinite-dimensional Bayesian Inverse Problems (Alexandros Beskos, University College London )

2019-01-30 14:00: Pure Mathematics in Crisis (Professor Kevin Buzzard)

2019-02-20 14:30: Advances in machine learning for molecules (José Miguel Hernández-Lobato, Department of Engineering (University of Cambridge))

2019-03-12 14:00: A variational approach to nonlinear and interacting diffusions (Professor Pierre Del Moral)

2019-05-01 14:00: Stochastic variants of classical optimization methods, with complexity guarantees (Professor Coralia Cartis)

2019-05-22 14:00: Diffusion bridge simulation in geometric statistics (Frank van der Meulen, Delft University of Technology)

2019-05-28 14:30: CCIMI Video Contest (CCIMI Members)

2019-05-29 00:00: Title to be confirmed - CCIMI Colloquium (Professor Mark Girolami, University of Cambridge)

2019-06-03 16:00: An Introduction to Randomized Algorithms for Matrix Computations (Ilse Ipsen (NCSU))

2019-11-13 17:00: CCIMI Colloquium - The Statistical Finite Element Method (Professor Mark Girolami, University of Cambridge)

2019-11-20 14:00: Machine learning and theorem proving (Henryk Michalewski)

2019-12-04 14:00: Collaborative Analytics and Education in Data Science (Martin Spott (HTW Berlin))

2020-01-17 14:00: Approximate Cross Validation for Large Data and High Dimensions (Tamara Broderick, Massachusetts Institute of Technology)

2020-02-12 14:00: Computer-aided worst-case analyses and design of first-order methods for convex optimization (Adrien Taylor (INRIA Paris))

2020-02-19 15:00: The Cycle of Statistical Research (Qingyuan Zhao (Statistical Laboratory))

2020-06-17 14:00: A nonparametric problem for stochastic PDEs (Randolf Altmeyer)

2020-07-15 14:00: Iteratively Reweighted FGMRES and FLSQR for sparse reconstruction (Silvia Gazzola)

2020-10-28 15:00: Practical Challenges in Portfolio Construction (James Ng (GAM Systematic))

2021-05-05 14:00: Finding stationary points on the bounded-rank variety: a geometric hurdle and a smooth workaround (Nicolas Boumal (EPFL))

2021-10-20 14:00: Three-point bounds for sphere packing (David de Laat (Delft))

2021-11-03 14:00: Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training (Estelle Massart (Oxford))

2021-11-10 14:00: A medley of geometry, optimal transport, and machine learning (Varun Jog (Cambridge))

2021-12-01 14:00: Deep Denoising for Scientific Discovery (Carlos Fernandez-Granda (NYU))

2022-01-26 14:00: Deep and reliable – Uncertainty quantification using Empirical Bayesian deep neural networks. (Stefan Franssen (TU Delft))

2022-02-09 14:00: On the Sample Complexity of Learning with Geometric Stability (Alberto Bietti (NYU))

2022-02-23 14:00: Variational Bayes for high-dimensional linear regression with sparse priors (Kolyan Ray (Imperial College London))

2022-03-09 14:00: Model free Deep Hedging (Josef Teichmann (ETH Zurich))

2022-04-27 16:00: Generative Modeling by Estimating Gradients of the Data Distribution (Stefano Ermon (Stanford University))

2022-05-11 14:00: Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo  (Lionel Riou-Durand (University of Warwick))

2022-06-01 14:00: Inverse consistency and global convergence of ResNets (Francois-Xavier Vialard (Université Gustave Eiffel))

2022-06-15 14:00: The implicit boundary integral method (Richard Tsai (UT Austin))

2022-10-07 16:00: Long Story Short: Omitted Variable Bias in Causal Machine Learning (Victor Chernozhukov (MIT))

2022-11-30 14:00: Deep reinforced active learning (Emma Slade - GSK)

2023-02-10 16:00: The Kalman-Bucy filter revisited: Mean-field equations & duality (Sebastian Reich (University of Potsdam))

2023-04-28 14:00: Fundamental limits of generative AI (Helmut Bölcskei - ETH Zurich)

2023-05-04 17:00: Bayesian inference in infinite dimensions (Aad van der Vaart (Delft))

2024-02-07 14:30: Homotopy methods for convex optimization (Andreas Klingler (Innsbruck))