Past events

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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DPPs everywhere: repulsive point processes for Monte Carlo integration, signal processing and machine learning ---- Rémi Bardenet

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Fixed confidence guarantees for Bayesian best-arm identification --- Rianne de Heide

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Testing Conditional Independence on Discrete Data using Stochastic Complexity ---- Alexander Marx

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Regret analysis of the Piyavskii-Shubert algorithm ---- Sébastien Gerchinovitz

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Sub-Gaussians in game-theoretic probability --- Wouter Koolen

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Some bias/optional stopping puzzles for the optional stopping p-hacker --- Judith ter Schure

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Efficient exploration in sequential decision making problems ---- Yasin Abbasi

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The truth-convergence of open-minded Bayesianism ---- Rianne de Heide

Rianne will speak on her recently accepted paper with former group member Tom Sterkenburg.

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A small tour of time-uniform concentration inequalities and some open problems ---- Odalric Ambryn-Maillard

Odalric from Inria Lille will tell us about concentration inequalities

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Hyperband: A novel bandit-based approach to hyperparameter optimization ---- Rianne de Heide

This is a session in the Pure Exploration reading group. For schedule and details, see https://www.cwi.nl/~wmkoolen/PureExploration18/

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