Date : 20 June, 2022
Speaker : Tomer Koren (Tel Aviv University)
Title : "Benign underfitting of Stochastic Gradient Descent, and some other peculiarities"
Date : 13 June, 2022
Speaker : Chloé Rouyer (University of Copenhagen)
Title : "A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs"
Date : 30 May, 2022
Speaker : Andres Masegosa (Aalborg University)
Title : "Diversity and Generalization in Neural Network Ensembles"
Date : 9 May, 2022
Speaker : Stefan Sommer (University of Copenhagen)
Title : "Stochastic shape analysis and probabilistic geometric statistics"
Date : 2 May, 2022
Speaker : Clint Chin Pang Ho (City University of Hong Kong)
Title : "Robust Bellman Updates with s-Rectangularity"
Date : 21 March, 2022
Speaker : Julian Zimmert (Google Research)
Title : "Efficient Methods for Online Multiclass Logistic Regression"
Date : 14 March, 2022
Topic : Internal seminar by Hippolyte Raymond Bourel
Date : 07 March, 2022
Speaker : Jalal Kazempour (DTU)
Title : "Regression Markets and Application to Energy Forecasting"
Date : 03 March, 2022
Speaker : Amir Yehudayoff (Technion)
Title : "A characterization of multiclass learnability"
Date : 28 Feburary, 2022
Speaker : Krikamol Muandet (MPI-IS)
Title : "Toward Reliable Machine Learning with Instruments"
Date : 09 Feburary, 2022
Speaker : Jalal Etesami (EPFL)
Title : "Foundations of Causal Inference: Challenges and Opportunities"
Date : 10 January, 2022
Speaker : Yanlin Chen (Centrum Wiskunde & Informatica)
Title : "Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints"
Date : 13 December, 2021 (Playing NeurIPS keynote)
Speaker : Gabor Lugosi (ICREA Research Professor at UPF and BSE Research Professor)
Title : "Do We Know How to Estimate the Mean?"
Date : 06 December, 2021
Speaker : Julian Zimmert (Google, Berlin)
Title : "The Pareto Frontier of model selection for general Contextual Bandits"
Date : 29 November, 2021
Speaker : Hippolyte Raymond Bourel (University of Copenhagen)
Title : "Model-Based Reinforcement Learning Exploiting State-Action Equivalence"
Date : 22 November, 2021
Speaker : Nicklas Werge (Sorbonne University)
Title : "Invariant Policy Learning: A Causal Perspective"
Date : 15 November, 2021
Speaker : Sorawit Saengkyongam (University of Copenhagen)
Title : "Invariant Policy Learning: A Causal Perspective"
Date : 08 November, 2021
Speaker : Rasmus Pagh (University of Copenhagen)
Title : "Efficient differential privacy in the shuffle model"
Date : 25 October, 2021
Speaker : Niklas Pfister (University of Copenhagen)
Title : "Statistical Testing under Distributional Shifts: Applications in Offline Contextual Bandits"
Date : 11 October, 2021
Speaker : Yi-Shan Wu (University of Copenhagen)
Title : "Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote"
Date : 04 October, 2021
Topic : Discussion of selected papers from ICML and COLT (Part 3)
Date : 26 September, 2021
Topic : Discussion of selected papers from ICML and COLT (Part 2)
Date : 20 September, 2021
Topic : Discussion of selected papers from ICML and COLT (Part 1)
Date : 13 September, 2021
Speaker : Shinji Ito (NEC Corporation)
Title : "Parameter-Free Multi-Armed Bandit Algorithms with Hybrid Data-Dependent Regret Bounds"
Date : 06 September, 2021
Speaker : Ola Rønning (University of Copenhagen)
Title : "General and Integrated Stein Variational Inference with EinStein"
Date : 30 August, 2021
Speaker : Haipeng Luo (University of Southern California)
Title : "The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition"