News

    [ Home ]
  • (June 27, 2018) Talk at ENSAE Paris on Natural-Gradient Variational Inference.
  • (June 23, 2018) A lecture on Approximate Bayesian Inference at Waseda University.
  • (June 6, 2018) A lecture on Bayesian Deep Learning at University of Tokyo.
  • (May 8, 2018) New talk at UBC, CS on "Bayesian Deep Learning by Weight-Perturbation in Adam".
  • (Apr, 2018) I taught a course (8 lectures) on Fundamentals of Machine Learning in April at Waseda University.
  • (April 30, 2018) We presented our new paper on Variational Message Passing for Structured VAEs at ICLR 2018.
  • (Mar 19, 2018) I gave an invited Talk at the Tokyo Deep Learning Workshop.
  • (Mar 8, 2018) I visited Srijith P. K. at IIT, Hyderbad, and gave a talk on "Bayesian Deep Learning by Weight-Perturbation in Adam".
  • (Feb 23, 2018) New paper on Variational Message Passing for Structured VAEs at ICLR 2018.
  • (Feb 20, 2018) New paper on Bayesian nonparametric Poisson-Process Allocation for Time-Sequence Modeling.
  • (Dec. 4, 2017) New paper on Vprop for variational inference using RMSprop's implementation.
  • (Dec. 1, 2017) Our new method CVI is implemented in the GPML toolbox. Thanks to Hannes Nickisch.
  • (Dec 2017) In 2017, I was an area chair for NIPS 2017, a reviewer for ICLR-2018, AAAI-2018, ICML-2017 and UAI-2017, and an action-editor for JMLR. I reviewed a total 54 papers in 2017!
  • (Nov 18, 2017) Mauricio A Alvarez visited from University of Sheffield, between Nov. 18-25, 2017.
  • (Nov. 15, 2017) New paper on Variational Adaptive-Newton (VAN) method, a general-purpose optimization method.
  • (Oct 2, 2017) Thang Bui visited from University of Cambridge between Oct. 2-20, 2017.
  • (Aug 17, 2017) Mark Schmidt (UBC) and Yarin Gal (Cambridge University) visited my group.
  • (Aug 4, 2017) New paper on Structured Inference-Networks for Structured deep-models in ICML workshop DeepStruct
  • (July 24, 2017) I gave a talk at ERATO in Tokyo on Aug. 3, 2017
  • (July 1, 2017) I gave a talk at ATR in Kyoto on July 10, 2017
  • (June 25, 2017) Salma El Aloui (from École Polytechnique) and Zuozhu Liu (from Singapore University of Technology and Design) join as interns.
  • (June 19, 2017) Prof. Havard Rue from KAUST visiting from Jun 19-25.
  • (Apr 19, 2017) I gave a lecture at the University of Tokyo on Modern Approximate Bayesian Inference Methods. Download slides and their annotated version.
  • (Apr 18, 2017) Prof. Marco Cuturi and Prof. Shun-ichi Amari visited AIP and gave talks about their work on Wasserstein distance.
  • (Apr 17, 2017) Vaden Masrani (from UBC) and Kimia Nadjahi (from ENS Cachan) joined as interns in my group.
  • (Mar 24, 2017) Heiko Strathmann from UCL is visiting from March 24-31, 2017.
  • (Feb 27, 2017) Maja Rudolph from Columbia University visited AIP in March, 2017.
  • (Feb 22, 2017) New talk at the PGM workshop 2017 in ISM about "Conjugate-Computation Variational Inference".
  • (Jan 2016) I presented a poster at the Winter-Festa (YouTube link and "hand-made" poster).
  • (Dec. 2016) New Paper at Bayesian Deep Learning workshop in NIPS 2016 for inference in Deep Exp-Family Models.
  • (Oct-2016) I became a Team-Leader in Tokyo at RIKEN's newly established Center for Advanced Intelligence Project (AIP).
  • (Aug-2016) A new paper at DSAA, 2016.
  • (20-Dec-2015) A new paper at UAI, 2016.
  • (10-Dec-2015) I got the teaching award for 2015!
  • (06-Dec-2015) I am at NIPS 2015.
  • (23-Oct-2015) Talk at Amazon, Berlin.
  • (20-Oct-2015) Talk at TU, Berlin.
  • (11-Oct-2015) I am a reviewer for AI-Stats 2016.
  • (28-Sep-2015) I gave a talk at the theory seminar in EPFL about my research.
  • (18-Sep-2015) I have a new paper in NIPS 2015 on "KL Proximal Variational Inference".
  • (10-Sep-2015) I visited Frank Hutter in Freibourg and gave a talk there.
  • (07-Sep-2015) I gave a talk about my work in NTNU, Norway.
  • (25-Aug-2015) I offered a short course on "Fundamentals of ML" on August 25, 2015 in Zurich . More than 200 people registered and around 120 people attended.
  • (07-Aug-2015) Course webpage for PCML is available.
  • (15-Jul-2015) I attended ICML 2015 in Lille.
  • (30-May-2015) I visited Masashi Sugiyama's lab in University of Tokyo from March-May, 2015.
  • (Apr-2015) I am an area chair for NIPS 2015.
  • (Feb-2015) I am now a 'scientific collaborator' at EPFL.
  • (Dec-2014) I have a new paper at NIPS 2014. Unfortunately, I couldn't attend due to visa issues.
  • (Dec-2014) I taught Pattern Classification and Machine Learning in EPFL from Sep 2014 to Feb 2015. The course had a total 190 Master level students and received a rating of median 5 out of 6. Young-Jun presented our paper in ACML 2014.
  • (Aug-2014) I gave a talk in Shogun-workshop in July 2014 (video link).
  • (May-2014) I presented our paper in AI-Stats-2014 (video link).
  • (May-2014) I mentored a project on variational inference for Google-Summer-of-Code-2014, along with Heiko Strathmann. Check out the Notebook outlining the project for Shogun toolbox.
  • (Feb 2014) I joined as a post-doc with Matthias Grossglauser at LCA lab in EPFL.
  • (Sep-2013) I gave an invited talk at the LGM-2013 workshop in Iceland.
  • (Nov 2012) I joined as a post-doc with Matthias Seeger at LAPMAL lab in EPFL.
  • (11 Mar 2012) Invited talks at EPFL, XRCE, and INRIA-SIERRA [ slides ].
  • (08 Feb 2012) A tutorial report on Approximate message passing from my talk on DNOISE.
  • (29 Sep 2011) Talk at Microsoft Research, Redmond [ video ] [ slides ]
  • (29 Jun 2011) Talk at ICML 2011 [ video ] [ slides ]
  • (22 Apr 2011) Derivation of an EM algorithm for Latent Gaussian Model with Gaussian Likelihood [ pdf ]
  • (14 Sep 2009) Derivation of Variational EM algorithm for Correlated Topic Model [ pdf ]
  • (25 Feb 2009) Derivation of Gaussian likelihood with Gaussian prior on mean [ pdf ]
  • (29 Jan 2009) A note on empirical Bayes estimate of Covariance for Multivariate Normal Distribution [ pdf ]
  • (24 Dec 2008) Tech report on Bayesian search algorithms for decomposable Guassian graphical model [ pdf ]
  • (27 Feb 2008) Updating Inverse of a Matrix when a Column is added/removed [ pdf ] [ code ]
  • (25 Feb 2008) Talk on Kalman filter and demo code [ Slides ] [ Demo ]
  • (25 Feb 2008) Notes on information filter [ pdf ]
  • (30 Oct 2007) Presentation on Variational Bayes and Message passing at Machine learning Reading Group [ slides ]
  • (02 Oct 2007) A note on Exchangeability, Polya’s Urn, and De-Finetti’s Theorem [ pdf ]
  • (28 Sep 2007) Linear Algebra Tutorial [ Outline ] [ slides ]
  • (18 Sep 2007) Probability Tutorial [ Outline ] [ Slides ]
  • (14 June 2007) Talk on Brain-Computer Interface, CIFAR Time-series Workshop, Toronto [ slides ]
  • (18 May 2007) Talk on Signal Compression and JPEG, UDLS [ Abstract ] [ slides ]
  • (April 2007) Compressed Sensing, Compressed Classification and Joint Signal Recovery, Machine Learning course project [ pdf ]
  • (April 2007) Gibbs Sampling for the Probit Regression Model with Gaussian Markov Random Field Latent Variables, Statistical Computation course project [ pdf ] [ slides ]
  • (26 Jan 2007) Talk on "Introduction to probability theory, UDLS [ slides ] [ Abstract ]
  • (Dec 2007) Game theory models for Pursuit-evasion games, Multi-agent systems course project [ pdf ]
  • (Dec 2007) An incremental deployment algorithm for mobile sensors, Optimization course project [ pdf ]