# Talks

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### Tech-Talk with Mounir Shita - Artificial Superintelligence: Beyond Today's Artificial Intelligence

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### Katie Hermann - Moving from supplier to partner: analyzing retail sales data - DATAcated May 2021

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### Interpretable Machine Learning with Python Examples | Abdul Majed Raja RS | AzConfDev2020

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### Ransomware in ICS: Impacting Critical Infrastructure and Operations

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### The Planet & Smart Cities: Winning hearts and minds: Participatory futures and behaviour change

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### Ulli Waltinger | Trustworthy AI for the Physical World

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### Regret Analysis of Bandit Problems with Causal Background Knowledge

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### Permutation-Based Causal Structure Learning with Unknown Intervention Targets

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### Semi-supervised learning, causality, and the conditional cluster assumption

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### Identifying causal effects in maximally oriented partially directed acyclic graphs

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### Learning LWF Chain Graphs: A Markov Blanket Discovery Approach

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### MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models

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### Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series

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### C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation

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### Estimation Rates for Sparse Linear Cyclic Causal Models

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### Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles

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### Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals

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### Making AI work for companies: RACE your FACTS - a methodology perspective

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### Is frictionless forgettable? The Cognitive Bias that limits how much UX impacts brand love

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### dame-flame: A Python Library For Interpretable Matching for Causal Inference

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### Advances in Data Science Conference 2020: Isabel Valera

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