Seminars

December 14, 2023

Linbo Wang (University of Toronto): Sparse Causal Learning: Challenges and Opportunities

November 16, 2023

Tom Berrett (University of Warwick): On robustness and local differential privacy

October 26, 2023

Ezequiel Smucler (Glovo) : Efficient estimators of the average treatment effect under causal graphical models

October 10, 2023

Mika Meitz (University of Helsinki) : Subgeometricall ergodic autoregressions with autoregressive conditional heteroskedasticity

May 16, 2023

Stephen G. Walker (University of Texas at Austin) :  A new look at Bayesian uncertaintyZ

April 24, 2023

Aki Nishimura (John Hopkins University) : ZZigzag path connects two Monte Carlo paradigms: Hamiltonian counterparts to piecewise deterministic Markov processes

March 6, 2023

Sonia Petrone (Bocconi University) : Bayesian Prediction-based uncertainty quantification

February 27, 2023

Francois-Xavier Briol (University College London): A robust and scalable approach to Bayesian doubly-intractable problems

February 20, 2023

Daniele Durante (Bocconi University): Detective Bayes: Bayesian nonparametric stochastic block modeling of criminal networks

February 10, 2023

Robin Evans (University of Oxford): Parametrizing and simulating from Causal Models

January 26, 2023

Sara Magliacane (University of Amsertdam): Causality-inspired ML: what can causality do for ML? The domain adaptation case 

November 28, 2022

Manuele Leonelli (IE Buisness School Madrid): Learning and reasoning about asymmetric independences with staged tree models

 November 22, 2022

Merle Behr (University of Regensburg): Statistical recovery of compositional discrete structures

November 14, 2022

Francisco Ruiz (DeepMind): AlphaTensor: Discovering faster matrix multiplication algorithms with reinforcement learning

May 18th, 2022

Davide Vivano (UC San Diego): Policy design in experiments with (unknown) interference

April 27, 2022

Chiara Amorino (Universite du Luxembourg): On the rate of estimation for the stationary distribution of stochastic differential equations with and without jumps

April 5, 2022

Raquel Prado (UC Santa Cruz): Recent approaches for flexible and efficient analysis of non-stationary time series

April 4, 2022

Bruno Sanso (UC Santa Cruz): Geostatistics meets variable selection: multi-scale models for non-stationary spatial fields

March 9, 2022 

Vanessa Didelez (Leibniz Institute for Prevention Research and Epidemiology and University of Bremen):

Separable Effects and Causal Estimands

March 2, 2022

Randal Douc (Telecom SudParis): Boost your favorite Markov Chain Monte Carlo sampler using Kac’s theorem: the Kick-Kac teleportation algorithm

February 2, 2022 

Ale Avalos Pacheco (Harvard University and the Dana-Farber Cancer Institute): Cross-study Bayesian Factor Regression in Heterogenous High-dimensional Data

November 23, 2021

Daniele Durante (Bocconi): Advances in Bayesian inference for regression models with binary, categorical and partially-discretized data

May 12, 2021                                                                                                                                                                                                                                                                                                                                                                           Pier Giovanni Bissiri (University of Bologna): General Bayesian inference

April 13, 2021                                                                                                                                                                                                                                                                                                                                                                        Piotr Fryzlewicz (LSE): Narrowest Significance Pursuit: inference for multiple change-points in linear models

March 3, 2020
Armeen Taeb (ETH Zurich): False discovery control in low-rank estimation

February 25, 2020
Azadeh Khaleghi (Lancaster): Some consistent algorithms for clustering stationary and piece-wise stationary time-series

February 10, 2020
Michalis Titsias (Google DeepMind): Functional Regularisation for Continual Learning with Gaussian Processes

October 29, 2019
Heather Battey (Imperial College London): High-dimensional inference

October 8, 2019
Javier Rubio Alvarez (King’s College London): Net survival models: The Good, The Bad, and The Ugly

October 1, 2019
Małgorzata Bogdan (University of Wrocław): Sorted L-One Penalized Estimation

June 25, 2019
Jack Jewson (University of Warwick): Generalised Variational Inference

June 11, 2019
Alessandro Rudi (École Normale Supérieure, Paris): Scaling up optimal learning methods to large scale learning problems

May 28, 2019
Yuhao Wang (Massachusetts Institute of Technology): Learning High-Dimensional Gaussian Graphical Models under Total Positivity without Tuning Parameters

May 14, 2019
James Q. Smith (University of Warwick): Bayesian graphical models of criminal processes

April 25, 2019
Rajen Shah (University of Cambridge): RSVP-graphs: Fast High-dimensional Covariance Matrix Estimation Under Latent Confounding

April 9, 2019
Gabriela Ciołek (Télécom ParisTech): Concentration inequalities for regenerative and Harris recurrent Markov chains with applications to statistical learning

March 26, 2019
Alberto Roberto (Padova): Path Weights in Concentration Graphs

March 5, 2019
Botond Szabó (Leiden): Adaptive distributed methods under communication constraints

December 19, 2018
Silvio Lattanzi (Google Zurich): Online Principal Component Analysis and Column Subset Selection

November 22, 2018
Christina Goldschmidt (Oxford): Parking on a tree:

October 9, 2018
Judith Rousseau (Oxford): Using asymptotics to understand ABC:

March 20, 2018
Jonas Peters (University of Copenhagen): Invariant Causal Prediction

March 15, 2018
Andrea Lodi (Polytechnique Montréal): On big data, optimization and learning

March 13, 2018
Benjamin Recht (University of California, Berkeley): A Dynamical View of Convex Optimization Algorithms

February 28, 2018
Flavian Vasile (Criteo): Causal Embeddings for Recommendation

November 30, 2017
Andreas Maurer (Grattino): Weak Interactions

November 16, 2017
Ozan Candogan (Chicago Booth): Spatial Pricing in Ride-Sharing Networks

November 10, 2017
Michael Wolf (University of Zurich): Resurrecting weighted least squares

October 19, 2017
Ismaël Castillo (Université Paris 6): Sparse inference with spike-and-slab posterior distributions

October 5, 2017
Tolga Tezcan (London Business School): Proactive customer service: operational and economic analysis

June 8, 2017
Nicos Savva (London Business School): “Yardstick Competition for Service Systems”

May 25, 2017
Stéphane Airiau (Paris Dauphine): “Fair and Efficient Randomized Voting

March 28, 2017
Kayvan Sadeghi (University of Cambridge): Graphical Models for Exchangeable Random Networks

March 16, 2017
Manuel Sosa (INSEAD Business School): “Revisiting the role of collaboration in creating breakthrough inventions”

March 9, 2017
Robert Castelo (CEXS UPF): “Covariance decomposition and networked partial correlations”

March 2, 2017
Wilfrid Kendall (University of Warwick): “A Dirichlet Form approach to MCMC Optimal Scaling”

February 16, 2017
Philip Dawid (Cambridge): “From Statistical Evidence to Evidence of Causality” (Joint with M. Musio and S. E. Fienberg)

January 31, 2017
Caroline Uhler (MIT): “Learning Bayesian networks based on sparsest permutations

January 13, 2017
Silvio Lattanzi (Google New York): “Aggregation of noisy information”

November 15, 2016
Manuel Gomez Rodriguez (Max Planck Institute): “RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks”

October 6, 2016
Victor DeMiguel  (London Business School): “Firm Characteristics and Stock Returns: An Investment Perspective

June 9, 2016
Florian Simatos (ISAE): Delay performance of queue-based CSMA protocol

June 2, 2016
Lorenzo Rosasco (Genoa/MIT): Less is more: optimal learning with stochastic projection regularization

February 25, 2016
Alexandros Karatzoglou (Telefonica Research): Deep learning

February 18, 2016
Geoff McLachlan (University of Queensland): Modelling and Clustering via Mixtures of Multivariate Skew t-Distributions

February 11, 2016
Ziyun Xu (USCEC, California): Chinese Interpreting Studies: What makes them do it? a statistical exploration

January 21, 2016
Steffen Lauritzen (Copenhagen): Linear estimating equations in exponential families with applications for graphical models

November 26, 2015
Lawrence Murray (Oxford): TBA

November 19, 2015
Paco Herrera (Universidad de Granada): Big Data: Technologies and Applications

October 29, 2015
Mehdi Molkaraie (UPF): Efficient Monte Carlo Methods for the Ising Model at Low Temperature

October 8, 2015
Neil Walton (University of Manchester) Title: Proportional Switching in FIFO Networks

October 1, 2015
Olivier Winterberger (University of Copenhagen) Title: Robust and adaptive online learning with BOA algorithm

May 28, 2015
Alan Gelfand (Duke): Spatial data and Gaussian processes: A beautiful marriage

May 21, 2015
Rubén Ruiz García (Universitat Politècnica de València): Simple metaheuristics and state-of-the-art performance for combinatorial optimization: Scheduling with Iterated Greedy Algorithms

May 14, 2015
Charalampos Tsourakakis (Harvard): Algorithm Design for Large-Scale Datasets

March 25, 2015
Asvin Goel (Jacobs University): An Optimization-Based International Assessment of Hours of Service Regulations in Road Freight Transport

March 19, 2015
Vincent Rivoirard (Paris Dauphine): Lasso Estimation for multivariate Hawkes processes

March 12, 2015
Nicolas Verzelen (INRA): Detecting a community in Random Networks

November 7, 2022

Simon Briend: Archaeology of random recursive dags and Cooper-Frieze random networks 

October 17, 2022

Lorenzo Cappello: Variance change point detection with credible sets 

November 9, 2021

Adam Lee: Robust and efficient inference for non-regular semiparametric models 

October 5, 2021

Gergely Neu (DTIC): Information-Theoretic Generalization Bounds for Stochastic Gradient Descent

February 18, 2020
David Rossell: Sparsity and misspecification in L0 and Bayesian model selection

April 3, 2019
Omiros Papaspiliopoulos: Graph-based semi supervised learning

January 26, 2017
Gábor Lugosi (ICREA-UPF and BGSE): “How to estimate the mean (and how to do regression)?”

 January 20, 2017
Víctor Peña (Duke University): “Bayesian Optimization with Shape Constraints”

November 30, 2016
Omiros Papaspiliopoulos (ICREA-UPF and BGSE): “Scalable Bayesian variable selection and model averaging under block orthogonal design”

November 24, 2016
Geert Mesters (UPF and BGSE): “Detecting Granular Time Series in Large Panels” 

October 27, 2016
David Rossell (UPF and BGSE): “Scalable robust Bayesian variable selection” 

September 29, 2016
Yucheng Sun (UPF): “Detecting Price Jumps in the Presence of Market Microstructure Noise”