Archived Talks

2016

Date Time Room Speaker Title (Link)
Jan 5 - - - Christmas break
Jan 12 16:00-17:00 C3.163 Albert Huizing Applying the art of deep learning to radar
Jan 19 16:00-17:00 C3.163 Deepak Geetha Viswanathan Generalized parts-based models for unrectified images
Jan 26 16:00-17:00 C3.163 Mijung Park Bayesian methodologies for efficient data analysis
Feb 9 16:00-17:00 C3.163 Kyriacos Shiarli Learning cost functions for Sample-based robotic planners
Feb 16 16:00-17:00 C3.163 Mandar Chandorkar Space Weather Prediction using Gaussian Process (GP) Non Linear Auto-Regressive Models
Feb 23 16:00-17:00 C3.163 Joao Messias Variable-Order Markov Models for Sequence Prediction (1/2)
Mar 1 16:00-17:00 C3.163 Joao Messias Variable-Order Markov Models for Sequence Prediction  (2/2)
Mar 8 16:00-17:00 C4.174 Sarod Yatawatta Modern radio astronomy: challenges and opportunities
Apr 12 16:00-17:00 C3.163 Philip Versteeg Causal inference and validation with micro-array data
Apr 19 16:00-17:00 C3.163 Yash Satsangi Exploiting Submodular Value Functions for Scaling Up Active Perception
Apr 26 16:00-17:00 C3.163 Joris Mooij Automating Causal Discovery and Prediction
May 3 16:00-17:00 C3.163 Patrick Putzky Neural Networks for estimation in inverse problems
May 10 16:00-17:00 C3.163 Stephan Bongers Marginalization and Reduction of Structural Causal Models
May 17 16:00-17:00 C3.163 Karen Ullrich Combining generative models and deep learning
May 24 16:00-17:00 C4.174 Ted Meeds Likelihood-free Inference by Controlling Simulator Noise
May 31 16:00-17:00 C3.163 Matthijs Snel An introduction to market making and data science at Optiver
June 7 16:00-17:00 C3.163 Thijs van Ommen Robust probability updating
June 21 - - - Cancelled
June 21 16:00-17:00 C3.163 Matthias Reisser Distributed Bayesian Deep Learning
June 28 16:00-17:00 C3.163 Tameem Adel Collapsed Variational Inference for Sum-Product Networks
July 5 16:00-17:00 C3.163 Peter O'Connor Deep Spiking Networks
July 12 16:00-17:00 C3.163 Christios Louizos Bayesian Deep Learning and Uncertainty
Aug 23 16:00-17:00 C3.163 Riaan Zoetmulder Deep Causal Inference
Oct 11 16:00-17:00 C3.163 Joan Bruna Addressing Computational and Statistical Gaps with Deep Neural Networks
Oct 18 16:00-17:00 C3.163 Open Open
Oct 25 16:00-17:00 C3.163 Open Open
Nov 1 16:00-17:00 C3.163 Open Open
Nov 8 16:00-17:00 C3.163 Open Open
Nov 16 16:00-17:00 C4.174 Tom Claassen Causal discovery in psychometric data sets: handling deterministic relations
Nov 22 16:00-17:00 C3.163 Paul Rubenstein Structural Equation Models: Where do they come from?
Nov 29 16:00-17:00 C3.163 Sara Magliacane Ancestral Causal Inference
Dec 6 - - - No talk due to NIPS
Dec 13 16:00-17:00 C3.163 Thomas Kipf Deep Learning for Graph-Structured Data
Dec 20 16:00-17:00 C3.163 Open Open
Dec 27 - - - Christmas break

2015

Date Time Room Speaker Title (Link)
Sep 1 15:00-16:00 C1.112 Joost Kok Machine Learning in Scientific Applications
Sep 8 - - - Cancelled
Sep 15 - - - Opening QUvA Lab
Sep 22 16:00-17:00 C3.163 Video: Michael Jordan On Computational Thinking: Inferential Thinking and Big Data
Sep 29  16:00-17:00 C3.163 Elena Sokolova Causal Discovery from Medical Data
Oct 6  - - - Cancelled
Oct 13 13:00-14:00 C3.163 Sach Mukherjee Towards empirical assessment of causal inference
Oct 20  16:00-17:00 C3.163 Taco Cohen Harmonic Exponential Families
Oct 27  16:00-17:00 C3.163 Yash Satsangi Probably Approximately Correct Greedy Maximization
Nov 3 - - - Cancelled
Nov 10 - - - Cancelled
Nov 17 16:00-17:00 C3.163 Antti Hyttinen Constraint Satisfaction Approach to Causal Inference
Nov 24 16:00-17:00 C3.163 Artem Grotov Self-learning search engines
Dec 1  16:00-17:00 C3.163 Sara Magliacane Probabilistic logical causal inference
Dec 8 - - - No talk due to NIPS
Dec 15 16:00-17:00 C3.163 John Ashley Burgoyne ‘Big data’ music-cognition style
Dec 22 - - - Christmas break
Dec 29 - - - Christmas break

 

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