Past events

Brainstorm session with Susan Murphy (CANCELLED)

Susan Murphy will visit our group after receiving the Van Wijngaarden award on Thursday and speaking in the CWI Scientifc Meeting on Friday. Friday afternoon we are hosting a brainstorm session about analysis of data that is collected by reinforcement learning algorithms.

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Recent advances in E-values ---- Alexander Henzi

Alexander Henzi from Bern University is visiting our group. He will talk in the ML Group Meeting about his recent work on E-values.

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Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote ---- Yi Shan Wu

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Valid sequential inference on probability forecast performance

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Sanne Willems - Variability in the interpretation of probability phrases used in Dutch news articles - a risk for miscommunication

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Improving (ε,δ)-Monte Carlo tree search using spherical confidence regions --- Thomas Schiet

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A class of ie-merging functions ---- Muriel Perez

Reading group session by Muriel with Judith as discussant

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A spotlight on statistical model assumptions ---- Christian Hennig

Christian Hennig will talk about statistical assumptions

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An asymptotically optimal algorithm for the maximin action identification problem --- Guanyu Jin

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ML Seminar - Judith ter Schure - Enough Bayesian or less selection please?! The stopping rule principle, accumulation bias and publication bias

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ML Seminar - Muriel Perez - Amenability Part II

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ML Seminar - Muriel Perez - Amenability

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ML Seminar: Safe interim meta-analysis --- Judith ter Schure

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ML Seminar --- Rianne de Heide --- Submodular optimization

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ML Seminar --- Muriel Perez --- Haar measures

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ML Seminar --- Wouter Koolen --- Confidence intervals

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ML Seminar --- Sanne Willems --- Survival Analysis

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ML Seminar --- Judith ter Schure --- discussion about null hypothesis testing v.s. BAI

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ML Seminar --- Rosanne Turner --- Why point priors in GROW S-values for 2x2 contingency tables

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Private Hypothesis Testing via Robustness ---- Audra McMillan

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ML Seminar --- Peter Grünwald --- PAC-Bayesian Un-Expected Bernstein Inequality

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ML Seminar --- Muriel: Haar Priors part 2

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ML Seminar --- Muriel Perez --- Haar measures

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Efficient and Robust Algorithms for Adversarial Linear Contextual Bandits ---- Julia Olkhovskaya

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Survival Analysis --- Sanne Willems

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The GROW S-value, The Haar prior, The KL minimizer, and Lai's proof --- Peter Grünwald

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New Convergence Aspects of Stochastic Gradient Descend with Diminishing Learning Rate ---- Marten van Dijk

Marten van Dijk from the University of Connecticut, is on sabbatical at CWI.

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Minimizing Regret in Multi-armed Bandit Models by Iterative Saddle-point Solving ---- Wouter Koolen

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The GROW S-value, the Bayes factor minimizing KL divergence and the Haar prior --- Peter Grünwald

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Towards safe tests for correlations and partial correlations --- Alexander Ly

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