elliottlab.ca

June 13th 2024. Improving healthcare policies using reinforcement learning on patterns of service utilization. Talk by Nadia Enhaili
May 30th 2024. Distance from metabolomic sweet spots predicts lifespan and healthspan. Talk by Olga Vishnyakova
May 13th 2024. Meta-analysis of genome-wide association studies with overlapping subjects. Presented by Zikai Xu
April 11th 2024. Why do generative models hallucinate? Presented by Olga Vishnyakova
April 4th 2024. Functional ecology modelling. Talk by Matthew Parker
March 28th 2024. Partitioning heritability by functional annotation using genome-wide association summary statistics. Presented by Zikai Xu
March 21st 2024. Advancing mathematics by guiding human intuition with AI. Presented by Ananga Bajgai
February 1st 2024. Measuring biological age: Phenomic and metabolomic disregulation scores. Talk by Olga Vishnyakova
January 25th 2024. Teaching machine learning using data for good. Talk by Lloyd Elliott
December 4th 2023. MOReL: Model-based offline reinforcement learning. Presented by Nadia Enhaili
October 27th 2023. Convolutional neural network models for epigenetics. Presented by Sonny Min
October 16th 2023. A GOAT genome-wide association study on resilience. Online talk by Renny Doig
September 18th 2023. Bayesian p-splines. Presented by Matthew Parker
September 11th 2023. A joint Bayesian model for change points and heteroskedasticity applied to the Canadian Longitudinal Study on Aging. Talk by Sonny Min
August 10th 2023. Epigenome-wide association studies for common human diseases. Presented by Olga Vishnyakova
August 3rd 2023. Offline reinforcement learning: Tutorial, review and perspectives on open problems. Presented by Sonny Min
July 20th 2023. Reliable estimation of tree branch lengths using deep neural networks. Presented by Ananga Bajgai
July 18th 2023. Faster sorting algorithms discovered using deep reinforcement learning. Presented by Lloyd Elliott
June 29th 2023. ANIMA: A data-sharing initiative for neuroimaging meta-analyses. Presented by Isaac Baguisa
June 22nd 2023. Machine learning in genome-wide association studies. Presented by Shufei Ge
June 15th 2023. Cyber data analytics: Domain generation algorithm detection (DGA). Talk by Annie Yao
June 1st 2023. Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning. Presented by Olga Vishnyakova
May 25th 2023. The causal impacts of climate change on Canadian industrial productions: An instrumental variable analysis using geographical features as instruments. Talk by Sonny Min
May 18th 2023. Computational efficiency and precision with R. Talk by Matthew Parker
March 30th 2023. Causal effects of COVID-19 on structural changes in specific brain regions: A Mendelian randomization study. Presented by Sonny Min
March 23rd 2023. Counterfactual evaluation and learning for seach recommendation and ad placement. Presented by Nadia Enhaili
March 16th 2023. The cherry blossom prediction competition. Talks by Olga Vishnyakova and Sonny Min
March 9th 2023. Statistics for COVID-19: Four applications. Talk by Lloyd Elliott
March 2nd 2023. Predicting the prevalence of complex genetic diseases from individual genotype profiles using capsule networks. Presented by Olga Vishnyakova
February 16th 2023. Spatial modeling of dyadic genetic relatedness data: Identifying factors associated with M. tuberculosis transmission in Moldova. Presented by Renny Doig
February 9th 2023. Attention is all you need. Presented by Matthew Parker
February 2nd 2023. Using genetic data to strengthen causal inference in observational research. Presented by Sonny Min
December 13th 2022. Decoding the contents and strength of imagery before volitional engagement. Presented by Olga Vishnyakova
December 6th 2022. Selection on functional longevity in a commercial population of dairy goats translates into significant differences in longevity in a common farm environment. Presented by Renny Doig
November 29th 2022. Private and communication-efficient algorithms for entropy estimation. Presented by Nadia Enhaili
November 22nd 2022. Time-varying covariates and semi-parametric regression in capture-recapture: An adaptive spline approach. Presented by Mathew Parker
November 15th 2022. Quantifying structure in random forests. Talk by Hannah Sutton
October 18th 2022. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Presented by Sonny Min
October 11th 2022. Statistical inference in a stochastic epidemic SEIR model with control intervention: Ebola as a case study. Presented by Renny Doig
October 4th 2022. An integrated model decomposing the components of detection probability and abundance in unmarked populations. Presented by Matthew Parker
September 12th 2022. Identification of aggravation-predicting gene polymorphisms in coronavirus disease 2019 patients using a candidate gene approach associated with multiple phase pathogenesis: A study in a Japanese city of 1 million people. Presented by Elika Garg
August 15th 2022. Identification, inference and sensitivity analysis for causal mediation effects. Presented by Sonny Min
August 8th 2022. Statistical tests for detecting variance effects in quantitative trait studies. Presented by Olga Vishnyakova
July 25th 2022. CovidSIMVL: Transmission trees, superspreaders and contact tracing in agent based models of COVID-19. Presented by Renny Doig
July 4th 2022. Forest floor visualizations of random forests. Presented by Hannah Sutton
June 13th 2022. Genetics meets metabolomics: A genome-wide association study of metabolite profiles in human serum. Presented by Sonny Min
June 6th 2022. Cross-trait assortative mating is widespread and inflates genetic correlation estimates. Presented by Olga Vishnyakova
October 7th 2021. Low SARS-CoV-2 sero-prevalence based on anonymized residual sero-survey before and after first wave measures in British Columbia, Canada, March-May 2020. Presented by Sonny Min
September 23rd 2021. Under-reporting of COVID-19 in the Northern Health Authority region of British Columbia. Online talk by Matthew Parker
July 30th 2021. Long time frames to detect the impact of changing COVID-19 measures, Canada, March to July 2020. Online invited talk by Jessica Stockdale
July 23rd 2021. Q-Learning with Online Trees. Presented by Sonny Min
July 9th. Whole genome sequencing. Online talk by Elika Garg
April 23rd 2021. Initial real world evidence for lower viral load of individuals who have been vaccinated by BNT162b2. Presented by Olga Vishnyakova
April 16th 2021. CovidSIMVL: Transmission trees, superspreaders and contact tracing in agent based models of COVID-19. Presented by Hannah Sutton
March 26th 2021. Estimating the extent of asymptomatic COVID-19 and its potential for community transmission: systematic review and meta-analysis. Presented by Matthew Parker
March 19th 2021. Genetic mechanisms of critical illness in COVID-19. Presented by Elika Garg
March 12th 2021. AlphaFold for COVID-19. Presented by Winfield Chen
March 5th 2021. Common genetic variants identify targets for COVID-19 and individuals at high risk of severe disease. Presented by Lloyd Elliott
February 26th 2021. A deep neural network model using random forests to extract feature representation for gene expression data classification. Presented by Hannah Sutton
February 12th 2021. U-Net: Convolutional networks for biomedical image segmentation. Presented by Olga Vishnyakova
February 5th 2021. Searching for activation functions. Presented by Matthew Parker
January 29th 2021. Improved protein structure prediction using potentials from deep learning. Presented by Winfield Chen
November 30th 2020. NeurIPS lightning round
November 23rd 2020. To understand deep learning, we need to understand kernel learning. Presented by Olga Vishnyakova
November 16th 2020. Multivariate random forests. Presented by Sonny Min
November 9th 2020. Statistical robustness of convolutional networks with a push-pull inhibition layer. Presented by Zubia Mansoor
November 2nd 2020. Statistical paradises and paradoxes in big data (I): Law of large populations, big data paradox, and the 2016 US presidential election. Presented by Winfield Chen
October 26th 2020. Instance-level decision visualization of Random Forest models. Presented by Hannah Sutton
October 19th 2020. Manifold regression. Presented by Matthew Parker
September 24th 2020. Genotype compression with through finite-state entropy. Presented by Winfield Chen
September 17th 2020. treespace: Statistical exploration of landscapes of phylogenetic trees. Presented by Hannah Sutton
September 10th 2020. On-line random forests. Presented by Sonny Min
August 13th 2020. Extending N-mixtures: Auxiliary populations and large abundance models. Online talk by Matthew Parker
July 30th 2020. Bayesian inference with TensorFlow Probability. Online invited talk by Emily Fertig
July 23rd 2020. Text-Independent Speaker Recognition based on DNN embeddings. Online talk by Olga Vishnyakova
July 9th 2020. Fermat’s polygonal number theorem for repeated generalized polygonal numbers. Online talk by Muratzhan Kyranbay
June 25th 2020. Behaviour trees for AI: How they work. Presented by Wendy Wang
June 18th 2020. Human-level control through deep reinforcement learning. Presented by Sonny Min
June 11th 2020. MCMC with people. Presented by Zubia Mansoor
May 14th 2020. Bayesian estimation of three-dimensional chromosomal structure from single-cell Hi-C data. Part II. Presented by Winfield Chen
May 7th 2020. Genome-wide association studies in ancestrally diverse populations: Opportunities, methods, pitfalls, and recommendations. Presented by Pulindu Ratnasekera
April 30th 2020. Replica conditional SMC. Online invited talk Alex Shestopaloff
April 16th 2020. Inferring the Ancestry of Everyone. Presented by Payman Nickchi
April 2nd 2020. Bayesian estimation of three-dimensional chromosomal structure from single-cell Hi-C data. Part I. Presented by Lloyd Elliott
March 26th 2020. Stochastic geometry to generalize the Mondrian process. Presented by Shijia Wang
March 19th 2020. Kinship solutions for partially observed multiphenotype data. Presented by Lloyd Elliott
March 12th 2020. CART: Classification and Regression Trees. Presented by Hannah Sutton
March 5th 2020. Bayesian model averaging: A tutorial. Presented by Zubia Mansoor
February 13th 2020. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Presented by Winfield Chen
January 30th 2020. The elements of statistical learning (Chapter 12). Presented by Shufei Ge
January 23rd 2020. Memory (and time) efficient sequential Monte Carlo. Presented by Sonny Min
January 16th 2020. Cybernetics: Or Control and Communication in the Animal and the Machine. Presented by Lloyd Elliott
December 6th 2019. NeurIPS Lightning Round. Part II
November 29th 2019. NeurIPS Lightning Round. Part I
November 22 2019. Split-plot design. Split-plot designs: What, why, and how. Presented by Sonny Min
November 15th 2019. Regression shrinkage and selection via the LASSO. Presented by Zubia Mansoor
November 8th 2019. Cannonical correlation forests. Presented by Shufei Ge
November 1st 2019. Asymmetric numeral systems. Presented by Winfield Chen
October 25th 2019. A mathematical theory of communication. Presented by Lloyd Elliott
October 18th 2019. AlexNet. Presented by Sonny Min
October 11th 2019. Random forests. Presented by Zubia Mansoor
October 4th 2019. Generalized random forests. Presented by Shufei Ge
September 13th 2019. The Mondrian kernel. Presented by Shijia Wang
June 12th 2019. Inferring the ancestry of everyone. Presented by Shijia Wang
June 5th 2019. GenPress: A novel dictionary based method to compress DNA data of various species. Presented by Winfield Chen
April 24th 2019. Interacting particle Markov chain Monte Carlo. Particle Gibbs for Bayesian additive regression trees. Presented by Shufei Ge
April 17th 2019. BART: Bayesian additive regression trees. Presented by Shufei Ge
March 27th 2019. Generalizing tree probability estimation via Bayesian networks. Presented by Shijia Wang
March 20th 2019. Modeling population structure under hierarchical Dirichlet processes. Presented by Shijia Wang
March 13th 2019. Crack STIT tessellations (Part II). Presented by Lloyd Elliott
February 27th 2019. Crack STIT tessellations (Part I). Presented by Shufei Ge
February 20th 2019. Screen and clean. Presented by Shijia Wang
February 13th 2019. Singleton variants dominate the genetic architecture of human gene expression. Presented by Lloyd Elliott
January 30th 2019. Geometry of STIT: Connection with Poisson hyperplanes. Presented by Shufei Ge
January 24th 2019. Gibbs flow for approximate transport with applications to Bayesian computation. Presented by Shijia Wang
January 16th 2019. Lack of group-to-individual generalizability is a threat to human subjects research. Presented by Lloyd Elliott
January 9th 2019. Mondrian forests: Efficient online random forests. Presented by Shufei Ge
January 4th 2019. Bayesian neural networks for selection of anticancer drug response genes. Presented by Shijia Wang

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