Past events

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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Machine learning of equivariant functions inspired by atomistic modelling ---- Bas Braams, CWI

Bas Braams will talk about covariant (equivariant) machine learning.

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Testing with online FDR control ---- 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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Game-Theoretic Statistics ---- Glenn Shafer

Glenn Shafer is one of the grand masters of the Game-Theoretic probability framework. We are very excited to have him lecture about this deeply fascinating topic.

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Causal Bandits ---- Thijs van Ommen

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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Thompson Sampling for Pure Exploration ---- 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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Spending functions ---- Judith ter Schure

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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Bayesian Reinforcement Learning for Problems with State Uncertainty ---- Frans Oliehoek

We are happy to have Frans Oliehoek of Delft University speak about Bayesian methods for reinforcement learning.

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Lower bounds for pure exploration ---- Rémy Degenne

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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Moment based data analysis ---- Edouard Pauwels

This is an interesting talk in the N&O seminar hosted by Daniel Dadush at CWI

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PAC Bounds for Multi-Armed Bandit and Markov Decision Processes ---- Wouter Koolen

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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Optimal Clustering Algorithms in Block Markov Chains ---- Jaron Sanders

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Fast Rate Conditions in Statistical Learning (MSc Practice talk) ---- Muriel Perez

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Monte Carlo Tree Search for Asymmetric Trees ---- Thomas Moerland

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Data Science at Netflix ---- Tristan Cossio

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Compressibility and Generalization in Large-Scale Deep Learning ---- Victor Veitch

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On consistency of spectral graph algorithms for community detection in networks ---- Ambedkar Dukkipati

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Double meeting on Mixing and Mixability ---- Dirk van der Hoeven and Zakaria Mhammedi

Making use of Zak's visit to connect two research lines that relate to mixability and mixing.

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