Student Presentations
We invite contributions from all PhD students and early career researchers to the poster session, which will take place during the welcome reception on Monday 29th June, and two short talk (8-min) sessions on Tuesday 30th June and Thursday 2nd July. The presented work may be in any area of statistics or machine learning and does not need to align with the summer school’s main theme.
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Posters (Monday) (Poster size: up to A0 portrait or A1 landscape) |
Short Talks Session 1 (Tuesday) (Suggested: 6.5-minute talk + 1.5-minute Q&A) |
Short Talks Session 2 (Thursday) (Suggested: 6.5-minute talk + 1.5-minute Q&A) |
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Abdullah Burkan Bereketoglu (Sussex) Beatrix M. G. Nielsen (ITU Copenhagen) Elly Hung (Warwick) Hannah Oh (Sussex) Jiaying Lin (Warwick) Mengqi Chen (Warwick) Pouya Roudaki (LSE) Sam Goring (KCL) Yiu Nam Edwin Tang (Warwick) Zhilang Xia (Glasgow) |
16.30-16.38 Ibrahim Kaddouri (Warwick) 16.38-16.46 Sirine Louati (ENSAE Paris) 16.46-16.54 Zhaocheng Li (Durham) 16.54-17.02 Arina Odnoblyudova (UCL) 17.06-17.14 Alberto Bordino (Warwick) 17.14-17.22 Chuanyang Zhang (Southampton) 17.22-17.30 Harita Dellaporta (UCL) 17.30-17.38 Sara Pinciroli (Bocconi) |
13.30-13.38 Li Quan (Copenhagen) 13.38-13.46 Maximilian Graf (Potsdam) 13.46-13.54 Thom Volker (Utrecht) 13.54-14.02 Gengyu Xue (Warwick) 14.06-14.14 Nikita Kalinin (ISTA) 14.14-14.22 Martin Dattge (KCL) 14.22-14.30 Benedict Risebrow (Warwick) |
All titles and abstractsLink opens in a new window
Posters (Monday):
Abdullah Burkan Bereketoglu (Sussex): A Statistical Inverse Problem for Multilayer Latency Mismatch under Geometric and Measurement Uncertainty
Beatrix M. G. Nielsen (ITU Copenhagen): Logit Distance Bounds Representational Similarity
Elly Hung (Warwick): Differentially private Cox regression
Hannah Oh (Sussex): AI-Assisted Formal Methods in Programming Education
Jiaying Lin (Warwick): Meta-Learning Preferences for Multilingual LLM Alignment
Mengqi Chen (Warwick): Bulk-Calibrated Credal Ambiguity Sets: Fast, Tractable Decision Making under Out-of-Sample Contamination
Pouya Roudaki (LSE): Kernel Integrated R2
Sam Goring (KCL): On the QUEST for Uncertainty Quantification via Highest Density Regions
Yiu Nam Edwin Tang (Warwick): Robust online change point detection
Zhilang Xia (Glasgow): How to speak of greenness in the 10-Ks?
Talks (Tuesday):
Ibrahim Kaddouri (Warwick): Clustering risk in HMMs and Mixture Models
Sirine Louati (ENSAE Paris): Estimation of discrete distributions with high probability under $\chi^2$-divergence
Zhaocheng Li (Durham): Bayes Linear Analysis and Uncertainty Quantification of Models with Multiple partial Discontinuities
Arina Odnoblyudova (UCL): A computationally-tractable measure of global sensitivity for sampling-based Bayesian inference
Alberto Bordino (Warwick): Nonparametric inference for ratios of densities via uniformly valid and powerful permutation tests
Chuanyang Zhang (Southampton): Change Point Detection with Missing Data
Harita Dellaporta (UCL): Amortised and provably-robust simulation-based inference
Sara Pinciroli (Bocconi): Federated learning approach for the Erdős--Rényi random graph
Talks (Thursday):
Li Quan (Copenhagen): Trust Issues with AI: A Cryptographer’s View
Maximilian Graf (Potsdam): Adaptive Sampling for Change Point Identification
Thom Volker (Utrecht): densityratio: An R package for distribution comparison through density ratio estimation
Gengyu Xue (Warwick): Optimal Learning for Fairness-Aware Contextual Bandits
Nikita Kalinin (ISTA): Matrix Factorization for Practical Continual Mean Estimation Under User-Level Differential Privacy
Martin Dattge (KCL): When Does SINDy Converge? Least-Squares Consistency and Challenges with LASSO
Benedict Risebrow (Warwick): Semi-supervised linear regression with missing covariates