(ED-3S) Essex Data Science Seminar Series

machine learning microeconomic theory probability statistics theory

Audience:	Researchers in the discipline
Seminar series time:	Thursday 11:00-12:00 in your time zone, UTC
Organizer:	Jianya Lu*
	*contact for this listing

You can dowload the calendar clicking in the following link: researchseminars.org/seminar/Essex-DataScience/ics

The ED-3S has a sibling seminar, MESS: Mathematics Essex Seminar Series. Find more info here: researchseminars.org/seminar/EssexMaths

Upcoming talks

Past talks

Your time			Speaker	Title
Thu	Oct 17	11:00	Dr Jianya Lu	Distribution estimation for time series via DNN-based GANs with an application to change-point estimation
Thu	Nov 14	12:00	Dr Victoria Volodina	TBA
Thu	Nov 28	12:00	Prof Tengyao Wang	TBA
Thu	Dec 05	12:00	Yi Xia	TBA
Thu	Feb 13	12:00	Porf. Michael J. Daniels	TBA
Thu	Feb 27	12:00	Dr Jonas Latz	TBA

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Your time			Speaker	Title
Thu	Oct 10	11:00	Dr Yu Wu	Efforts to overcome the curse of dimensionality in sequential decision-making problems
Thu	Jun 27	13:00	Dr Mohamed Bader	Beyond Theory: Machine Learning and AI in Action for Early Behavior and Outcome Prediction
Thu	Jun 20	13:00	Anusa Suwanwong	A Gene Selection Method for Classification with Three Classes Using Proportional Overlapping Scores
Thu	May 30	13:00	Dr Maria Brigida Ferraro	Two-mode clustering in a fuzzy setting: methods and cluster validity indices
Thu	May 16	13:00	Professor Guy Nason	Network Time Series
Thu	May 09	13:00	Dr Xiaochun Meng	Angular Combining of Forecasts of Probability Distributions
Thu	May 02	13:00	Dr Kareemah Chopra	The Bunching Behaviour of Cows
Thu	Apr 25	13:00	Dr Yi Zhang	On discounted Markov decision processes and their extensions
Thu	Mar 21	14:00	Laurel Ariane Regibeau-Rockett	Hurricanes as heat engines
Thu	Mar 14	14:00	Professor Mariachiara Di Cesare	Institute of Public Health and Wellbeing opportunities to enhance research for all
Thu	Mar 07	14:00	Professor Edward Rochead	The Alliance for Data Science Professionals
Thu	Feb 29	14:00	Professor Richard J. Samworth	Isotonic subgroup selection
Thu	Feb 08	14:00	Dr Kareemah Chopra	[Cancelled] The Bunching Behaviour of Cows
Thu	Feb 01	14:00	Dr Richard Mann	Collective decision-making by rational agents
Thu	Jan 25	14:00	Mahendra Singh Rajpoot	Large Language Models: A Stepping Stone for AGI!
Thu	Jan 18	14:00	Prof Wolfgang Hardle	Data Science in a Math-Less Digital Society
Thu	Dec 14	14:00	Dr Jinyu Tian	Discreteness Problem in Adversarial Machine Learning
Thu	Nov 30	14:00	Dr Hong Duong	Model Reduction of Complex Systems
Thu	Nov 23	13:45	Dr Dimitra Kosta	Maximum likelihood estimation of toric Fano varieties
Thu	Nov 16	13:00	Dr Yuyu Chen	Diversification of infinite-mean Pareto distributions
Thu	Oct 26	13:00	Dr Shenggang Hu	Differential Privacy of Bayesian Posterior under Contamination
Thu	Oct 19	13:00	Dr Jin Zhu	A Tuning-Free Algorithm for Sparsity-Constraint Optimization
Fri	Oct 06	12:00	Prof Boris Mirkin	Anomalous clustering at various data formats
Thu	Jun 22	13:00	Dr. Arthur Maheo	Benders decomposition for public transportation
Thu	Jun 15	13:00	Dr. Robert Gaunt	Normal approximation for the posterior in exponential families
Thu	Jun 01	13:00	Prof. Chenggui Yuan	Numerical solutions of SDEs with irregular coefficients
Thu	May 25	13:00	Dr. Xiaochuan Yang	Some recent progress in random geometric graphs: beyond the standard regimes
Thu	May 11	13:00	Dr. Yufei Zhang	Exploration-exploitation trade-off for continuous-time reinforcement learning
Thu	May 04	13:00	Dr. Peng Liu	Optimal Smooth Approximation for Quantile Matrix Factorisation
Thu	Feb 09	14:00	Mateo Salles	Supervised Learning for Untangling Braids
Thu	Nov 24	14:00	Dr Johan van der Molen	Dirichlet process mixture inconsistency for the number of components: how worried should we be in practice?
Thu	Nov 17	14:00	Qiuyi Hong	A Bilevel Game-TheoreDc Decision-Making Framework for Strategic Retailers in Both Local and Wholesale Electricity Markets
Thu	Nov 03	14:00	Prof Christian Martin Hennig	Advances in using cluster analysis for species delimitation
Thu	Oct 27	13:00	Dr Alexei Vernitski	Using machine learning to solve mathematical problems and to search for examples and counterexamples in pure maths research
Thu	Oct 13	13:00	Shenggang Hu	Statistical disaggregation - a Monte Carlo approach for imputation under constraints
Thu	Feb 25	14:00	Tolulope Fadina	Symmetric measures of variability induced by risk measures
Thu	Feb 11	14:00	Osama Mahmoud	Slope-Hunter: A robust method for index-event bias correction in genome-wide association studies of conditional analyses
Thu	Feb 04	14:00	Rafal Kulakowski	TBA
Thu	Dec 17	14:00	Yanchun Bao	Estimating mode effects from a sequential mixed-modes experiment
Thu	Dec 10	14:00	Yassir Rabhi	Copulas and measures of dependence under length-biased sampling and informative censoring
Thu	Dec 03	14:00	Josh Bull	Can maths tell us how to win at Fantasy Football?
Thu	Nov 26	14:00	Ioana Olan	Detecting the hierarchical structure of the cell nucleus
Thu	Nov 19	14:00	Carolin Strobl	A Statistician’s Botanical Garden - The Ideas behind Trees, Model-Based Trees and Random Forests
Thu	Nov 12	14:00	Peng Liu	Ordering and Inequalities for Mixtures on Risk Aggregation
Thu	Nov 05	14:00	Nosheen Faiz	Assessing how feature selection and hyper-parameters influence optimal trees ensemble and random projection
Thu	Oct 22	13:00	Godwin Osuntoki	Bayesian Analysis of chromosomal interactions in Hi-C data using the hidden Markov random field model
Thu	Oct 15	13:00	Matthew Lee	EpiViz: an implementation of Circos plots for epidemiologists

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