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Statistical Machine Learning (SML) Group

Upcoming Research Talks

SML research talks are in Seminar Room (NICTA CRL Ground Floor) on Thursdays from 11am-noon. Visitors are welcome. To subscribe to the SML-talks mailing list go to https://lists.nicta.com.au/wws/info/sml-talks

• Oct 27th, 2011, 11am-noon: Bharath Sriperumdur

  Mixture Density Estimation and Hilbert Space Embedding of Measures

Previous Research Talks

• Oct 13th, 2011, 11am-noon: Scott Sanner

  Optimal Sequential Decision-making in Continuous State Processes

• Oct 6th, 2011, 11am-noon: Changyou Chen

  Sampling Table Configurations for the Hierarchical Poisson Dirichlet Process

• Sep 29th, 2011, 11am-noon: Facundo Mémoli

  The Classification of Clustering Schemes

• Sep 22nd, 2011, 11am-noon: Nicolas Della Penna

  Market Making for Profit with Bandits

• Sep 8th, 2011, 11am-noon: Luiz Augusto Pizzato

  Finding Friends and Lovers

• Aug 25th, 2011, 11am-noon: Avraham Ruderman

  Representing $f$-divergences as solutions to optimisation problems

• Aug 18th, 2011, 11am-noon: Peter Sunehag

  Axioms for Rational Agents

• Aug 11th, 2011, 11am-noon: Bob Williamson

  Loss functions, and relations between machine learning problems

• Aug 4th, 2011, 11am-noon: M. Pelillo (University of Venice, Italy)

  Contextual pattern recognition and graph transduction

• Jul 28th, 2011, 11am-noon: M. Pelillo (University of Venice, Italy)

  Evolutionary games and data clustering

• Jul 21th, 2011, 11am-noon: M. Pelillo (University of Venice, Italy)

  Introduction to the basic concepts of (non-cooperative and evolutionary) game theory

• Jul 14th, 2011, 11am-noon: Roslyn Lau

  Loopy belief propagation approaches to data association

• Jul 7th, 2011, 11am-noon: Christfried Webers

  Learning Rotations

• Jun 30th, 2011, 11am-noon: Elodie Vernet

  Composite Multiclass Losses.

• Jun 23rd, 2011, 11am-noon: Aaron Defazio

  Learning Graphs with Degree Priors.

• Jun 23rd, 2011, 11am-noon: Scott Sanner

  Inference in Continuous Variable Graphical Models

• Jun 9th, 2011, 11am-noon: Various Speakers

  Short 5 minute presentaions about recent submissions.

• May 26th, 2011, 11am-noon: Jakob Verbeek

  Modelling spatial layout for image classification

• May 19th, 2011, 11am-noon: Dario Garcia

  (f,l)-divergences

• May 12th, 2011, 11am-noon: Pascal Schweitzer

  The Weisfeiler-Lehman Kernel

• May 5th, 2011, 11am-noon: Lawrence Murray

  Quantifying uncertainty in environmental models using particle Markov chain Monte Carlo methods.

• April 14th, 2011, 11am-noon: Afshin Rostamizadeh

  Dealing with Missing Features in Learning Problems.

• April 7th, 2011, 11am-noon: Dr J.L. Williams

  Graphical model approximations to the full Bayes random finite set filter.

• March 31st, 2011, 11am-noon: Tiberio Caetano

  Optimising the Performance Measure of the ImageNet Large Scale Visual Recognition Competition.

• March 24th, 2011, 11am-noon: Thomas Mensink

  Learning structured prediction models for interactive image labeling

• March 17th, 2011, 11am-noon: Bhekisipho Twala

  Dancing with Out-of-Sequence Data Measurements

• March 3rd, 2011, 11am-noon: Chris Webers, James Petterson, Edwin Bonilla

  NIPS Highlights

• February 17th, 2011, 11am-noon: Pascal Poupart

  Planning as Inference

• February 10th, 2011, 11am-noon: Leif Hanlen

  E-health: Why is it exciting? Why is machine learning (amongst others) essential, and what could NICTA be doing?

• February 03rd, 2011, 11am-noon: Changyou Chen

  Shadow Pitman-Yor Process with Applications in Topic Models

• January 27th, 2011, 11am-noon: Mark Norrish and Frank Su

  Fast Gaussian Process Preference Elicitation via Expectation Propagation and
  How to apply query expansion to capture and relate concepts and trends in social media

• January 20th, 2011, 11am-noon: Julian McAuley

  CVPR 2010 highlights

• January 13th, 2011, 11am-noon: Shaw Xiao

  Fast On-line Statistical Learning on a GPGPU

• December 12th, 2010, 11am-noon: Hercules Dalianis and Sumithra Velupillai

  How can we use clinical corpora to assist the clinician, her managers and clinical research? and Modeling factuality levels of diagnoses in Swedish clinical records for information access.

• November 25th, 2010, 11am-noon: Alex Smola

  What Users Want

• November 18th, 2010, 11am-noon: Mayank Daswani

  An empirical evaluation of PhiMDP Agents

• November 11th, 2010, 11am-noon: Christfried Webers

  Some learning algorithms on the Stiefel manifold

• November 04th, 2010, 11am-noon: Marco Feris

  Improving the Quality of Planning of Software Development Projects

• October 28, 2010, 11am-noon: Antonio Robles-Kelly

  Imaging Spectroscopy: Is there anything to gain from more bands?

• October 21, 2010, 11am-noon: James Petterson

  Reverse Multi-Label Learning

• October 14, 2010, 11am-noon: Edwin Bonilla

  Highlights from ECML 2010

• September 23, 2010, 11am-noon: Peter Sunehag

  Optimal Gradient Methods for various function classes

• September 16, 2010, 11am-noon: Daniel Visentin

  Reductions in Machine Learning

• September 09, 2010, 11am-noon: Mark Reid

  A PAC-Bayesian Theory of Transfer and Multitask Learning

• September 02, 2010, 11am-noon: Edwin Bonilla

  A Survey on Transfer Learning

• August 26, 2010, 11am-noon: Wray Buntine

  Bayesian Modeling of Dirichlets based on the Pitman-Yor Process

• August 19, 2010, 11am-noon: Peter Sunehag

  Context Tree Weighting (CTW)

• August 12, 2010, 11am-noon: Phuong Nguyen

  Feature Reinforcement Learning

• July 29, 2010, 11am-noon: Shengbo Guo

  Highlights of AISTATS, SIGIR, and Lab visits

• July 15, 2010, 11am-noon: Marcus Hutter

  Exact Non-Parametric Bayesian Inference on Infinite Trees

• July 08, 2010, 11am-noon: Scott Sanner

  Highlights of ICML 2010

• July 01, 2010, 11am-noon: Hanna Suominen

  Highlights of NAACL-HLT 2010

• June 24, 2010, 11am-noon: Qinfeng Shi

  Rapid Face Recognition Using Hashing

• June 17, 2010, 11am-noon: Andre Carvalho

  Quantum Information Science: what is out there?

• June 09, 2010, 2pm-3pm: Daniel Visentin

  An Expectation-Maximisation Toolbox for Elefant and Fast Approximate Inference by Exploiting Within-Clique Factorizations in Max-Product Message-Passing Algorithms.

• May 27, 2010, 11am-noon: Lan Du

  Structural Topic Models

• May 20, 2010, 11am-noon: Tat-Jun Chin

  Robust Fitting and Model Selection: The Statistical Learning Approach

• May 13, 2010, 11am-noon: Tiberio Caetano

  Why graphical models have been successful

• Apr 29, 2010, 11am-noon: Hanna Suominen

  Building a predictor by learning from multiple experts in the presence of uncertainty

• Apr 23, 2010, 11am-noon: ANU students meet SML group

  Presentations by SML Researchers

• Apr 8, 2010, 11am-noon: Novi Quadrianto

  Ideas after Visiting Alberta

• Apr 1, 2010, 11am-noon: Matthew Robards

  Kernel Reinforcement Learning

• Mar 25, 2010, 11am-noon: Roslyn Lau

  Data Association by loopy belief propagation

• Mar 18, 2010, 11am-noon: Peter Sunehag

  SGD, A survey talk

• Mar 11, 2010, 11am-noon: Babak Ahmadi

  Lifted Belief Propagation

• Mar 04, 2010, 11am-noon: Remco Bouckaert

  DensiTree: Making Sense of Bayesian Hierarchical Clustering

• Feb 25, 2010, 11am-noon: Mark Reid

  NIPS Review (continued)

• Feb 18, 2010, 11am-noon: Shengbo Guo

  NIPS Review (continued)

• Feb 5, 2010, 11am-noon: Marcus Hutter

  Theories of Something, Everything & Nothing

• Jan 28, 2010, 11am-noon: Javen Shi and Julian McAuley

  NIPS Review (continued)

• Jan 21, 2010, 11am-noon: Christfried Webers and Julian McAuley

  NIPS Review

• Dec 17, 2009, 11am-noon: Lachlan Henderson (External)

  Topic Classification in the DMOZ Hierarchy

• Dec 3, 2009, 11am-noon: Julian McAuley, Shengbo Guo, and James Petterson

  NIPS Practice Talks

• Nov 26, 2009, 11am-noon: Leif Hanlen

  NICTA Internal Only: Machine Learning in Human Performance Improvement

• Nov 19, 2009, 11am-noon: Nitin Indurkhya (UNSW, Sydney)

  Sentiment Analysis

• Nov 12, 2009, 11am-noon: Scott Sanner

  Topics, Trends, and Advances at CIKM-09
• Nov 5, 2009, 11am-noon: James Petterson

  Context and Multilingual Synchronization for Topic Models
• Oct 29, 2009, 11am-noon: Tim Van Erven (CWI, Netherlands)

  The Catch-up Phenomenon in Bayesian and MDL model selection
• Oct 22, 2009, 12:30pm-1:30pm: Mitchell Whitelaw (Univ. of Canberra)

  The Visible Archive (blog link)
• Oct 15, 2009, 11am-noon: Marcus Hutter

  MDL vs. Bayes, Part II (MDL Strikes Back)
• Oct 8, 2009, 11am-noon: Wray Buntine

  Report on ECML-PKDD and CLASS Review
• Oct 1, 2009, 11am-noon: Alistair Rendell (ANU)

  The Potential and Problems with Modern Multicore Hardware Systems
• Sept 24, 2009, 11am-noon: Junbin Gao

  Beta Process and Its Application in Sparse Regression
• Sept 17, 2009, 11am-noon: Marcus Hutter

  Predictive MDL and Bayes
• Sept 10, 2009, 11am-noon: Scott Sanner

  Bayesian real-time dynamic programming
• Sept 3, 2009, 11am-noon: Alex Davies

  Topic modelling photos with meta-data
• Aug 27, 2009, 11am-noon: Andrew Over (Google)

  Google Wave followed by a discussion
• Aug 20, 2009, 11am-noon: Ian Wood

  A Review of Model Selection and Assessment II
• MONDAY Aug 17, 2009, 11am-noon: Frank Wood (Gatsby, UCL)

  A Stochastic Memoizer for Sequence Data
• Aug 13, 2009, 11am-noon: Ian Wood

  A Review of Model Selection and Assessment I
• TUESDAY Aug 4, 2009, 11am-noon: Stephen Gould (Stanford)

  A Region-based Approach to Scene Understanding
• July 30, 2009, 11am-noon: Mark Reid

  Discussing three papers:
  (1) A Stochastic View of Optimal Regret through Minimax Duality,
  (2) Stochastic Convex Optimization, and
  (3) Learnability and Stability in the General Learning Setting.
  (Slides)
• July 23, 2009, 11am-noon: Julian McAuley

  Get more from your cores: shared memory multiprocessing made easy with OpenMP
• TUESDAY July 21, 2009, 11am-noon: Shane Legg (UCL)

  Is there an Elegant Universal Theory of Prediction?
• July 16, 2009, 11am-noon: Guo Shengbo

  TrueSkill: A Bayesian Skill Rating System
• July 2, 2009, 11am-noon: Novi Quadrianto

  Discussing: Linli Xu and Martha White and Dale Schuurmans, "Optimal Reverse Prediction"
• June 25, 2009, 11am-noon: Wray Buntine

  A Bayesian's View of MDL
• June 18, 2009, 11am-noon: Matt Robards

  Semi-Markov K-Means Clustering
• June 11, 2009, 11am-noon: Jin Yu

  The Entire Quantile Path of a Risk-Agnostic SVM Classifier
• June 4, 2009, 12:30pm-1:30pm: Hanna Suominen (Univ. of Turku, Finland)

  Critical Points in Assessing Learning Performance: Cross-validation with sparse RLS
• WEDNESDAY May 27, 2009, 11am-noon: Karina Valdivia Delgado (Univ. of Sao Paulo, Brazil)

  Real-time Dynamic Programming for Factored MDPs
• May 22, 2009, 11am-noon: Ingo Steinwart (Los Alamos National Laboratory)

  Statistical learning: from theory to applications
• May 14, 2009, 11am-noon: Marconi Barbosa

  Non-commutative harmonic analysis tools for inference on permutations
• May 7, 2009, 11am-noon: Hassan Mahmud

  Universal Transfer Learning
• Apr 30, 2009, 11am-noon: Tiberio Caetano

  Compressed Sensing
• Apr 23, 2009, 11am-noon: Hanna Suominen (Univ. of Turku, Finland)

  Current Research Topics in Text Mining
• Apr 16, 2009, 11am-noon: Novi Quadrianto

  My Great Time at HIIT
• Apr 9, 2009, 11am-noon: Marcus Hutter

  General Discounting versus Average Reward
• Apr 2, 2009, 11am-noon: Hayato Takahashi

  Consistency theorems for algorithmically random sequences
• Mar 26, 2009, 11am-noon: Tomi Silander

  Locally Minimax Optimal Predictive Modeling with Bayesian Networks
• Mar 19, 2009, 11am-noon: Karina Valdivia Delgado

  Solving Factored MDPs with Imprecise Transition Probabilities
• Mar 12, 2009, 11am-noon: Choon Hui Teo

  Training Robust Spam Filters
• MONDAY Mar 2, 2009, 11am-noon: David Newman

  Speeding up Latent Dirichlet Allocation
• TUESDAY Feb 24, 2009, 11am-noon: Adam Kowalczyk

  Selection of significant peaks for next generation sequencing
• THURSDAY Feb 19, 2009, 11am-noon: Dale Schuurmans

  Monte Carlo inference via greedy importance sampling
• FRIDAY Feb 13, 2009, 11:30am-12:30pm (NICTA SEMINAR ROOM): Marcello Pelillo

  From cliques to equilibria: the dominant-set framework for pairwise data clustering
• Feb 5, 2009, 9am-12:30pm: Dale Schuurmans

  Recent results in unsupervised learning
• January 29, 2009, 11am-noon: Scott Sanner

  Review of selected NIPS-2008 papers
• January 15, 2009, 11am-noon: Tiberio Caetano

  Review of selected NIPS-2008 papers
• January 8, 2009, 11am-noon: Xinhua Zhang

  Bayesian Online Multi-label Classification for Text Categorization
• TUESDAY, November 25, 2008, 11am-noon: Leif Hanlen

  Machine learning applications and current opportunities
• November 13, 2008, 11:45am-noon: Scott Sanner

  How to spice up your planning under uncertainty research life
• October 30, 2008: Will Uther

  Predictive State Representations
• October 23, 2008: Tiberio Caetano

  Combinatorics and Machine Learning: Part I
• October 16, 2008: Wray Buntine

  Bayesian methods for text
• October 9, 2008, noon-1pm: Scott Sanner

  Affine algebraic decision diagrams (AADDs) and their application to structured probabilistic inference
  Sanner and McAllester.
• WEDNESDAY October 1, 2008, noon-1pm: Kee Siong Ng

  Probabilistic Modeling and Inference using Logical Theories
  Ng, Lloyd and Uther.
• FRIDAY September 26, 2008, 10:30am-noon: Kristian Kersting

  Statistical Relational Learning and Non-Parametric Policy Gradients: A Unified Treatment of Propositional and Relational Domains
  Kersting and Driessens.
• September 18, 2008: Chris Webers

  Discussing: The Geometry of Weighted Low-Rank Approximations
  Manton, Mahony and Hua.
• September 11, 2008: Tiberio Caetano

  Discussing: Regular Partitions of Graphs
  E. Szemeredi (Szemeredi Regularity Lemma).
• September 04, 2008: Marcus Hutter

  Discussing: Universal Intelligence: A Definition of Machine Intelligence Minds and Machines.
• August 28, 2008: Mark Reid

  Discussing Elicitability.
  Lambert, Pennock and Shoham.
• August 21, 2008: Tiberio Caetano

  Discussing: Generating Random Graphs with Prescribed Degrees.
  Joseph Blitzstein and Persi Diaconis.
• August 14, 2008: Marcus Hutter

  Bayesian Regression of Piecewise Constant Functions.
• August 7, 2008: Wray Buntine and Tiberio Caetano

  More highlights from ICML / UAI / COLT.
• July 31, 2008: Group Presentation

  Highlights from ICML / UAI / COLT.
• July 24, 2008: Alex Smola

  Discussing: Latent Topic Models for Hypertext.
  Amit Gruber, Michal Rosen Zvi, and Yair Weiss. UAI 2008.
• July 17, 2008: Christfried Webers

  Finding subspaces with dynamical systems.
• July 10, 2008: Owen Thomas

  Semi-CRFs for segmentation.
• July 3, 2008: Marconi Barbosa

  Aspects of group theory in machine learning.
• June 28, 2008: Julian McAuley

  Shape matching with graphical models.
• June 21, 2008: Tinne Tuytelaars

  On visual vocabularies for object recognition.
• June 14, 2008: Paul Malcolm

  Some applications of M-ary detection in quantitative finance.
• June 7, 2008: Sungwoong Kim and Sungrack Yun

  Discriminative training of continouous density hidden Markov models for speech recognition.
• May 29, 2008: Gideon Dror

  Digital face modification.
• May 22, 2008: Mark Reid

  Notes on machine learning representations.