Pattern Theory Lunch Seminar Series |
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DIVISION OF APPLIED MATHEMATICS
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Upcoming Talks
Wednesday, Oct 9, 2019
12-1pm, 182 George St, Room 110
Knockoffs or perturbations, that is a question
Jun S Liu
Professor
Department of Statistics
Harvard University
Simultaneously finding multiple influential variables and controlling the false discovery rate (FDR) for linear regression models is a fundamental problem with a long history. Researchers recently have proposed and examined a few innovative approaches surrounding the idea of creating “knockoff” variables (like spike-ins in biological experiments) to control FDR. As opposed to creating knockoffs, a classical statistical idea is to introduce perturbations and examine the impacts. We introduce here a perturbation-based Gaussian Mirror (GM) method, which creates for each predictor variable a pair of perturbed “mirror variables” by adding and subtracting a randomly generated Gaussian random variable, and proceeds with a certain regression method, such as the ordinary least-square or the Lasso. The mirror variables naturally lead to a test statistic highly effective for controlling the FDR. The proposed GM method does not require strong conditions for the covariates, nor any knowledge of the noise level and relative magnitudes of dimension p and sample size n. We observe that the GM method is more powerful than many existing methods in selecting important variables, subject to the control of FDR especially under the case when high correlations among the covariates exist. Additionally, we provide a method to reliably estimate a confidence interval and upper bound for the number of false discoveries. If time permits, I will also discuss a simpler bootstrap-type perturbation method for estimating FDRs, which is also more powerful than knockoff methods when the predictors are reasonably correlated. The presentation is based on joint work with Xing Xin and Chenguang Dai.
[food will be provided]
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Fall 2019 Schedule
Wednesdays, 12-1pm, 182 George St, Room 110 [lunch is provided]
Oct 9, 2019
ABSTRACT
WEBSITE
Knockoffs or perturbations, that is a question
Jun Liu (Harvard)
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Spring 2020 Schedule
Wednesdays, 12-1pm, 182 George St, Room 110 [lunch is provided]
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2018-2019 Schedule
Apr 16, 2019 (Tues, 11:00am)
ABSTRACT
WEBSITE
A Representational Theory of Grid Cells
Ying Nian Wu (UCLA)
Feb 13, 2019
ABSTRACT
WEBSITE
A combinatorial/algebraic topological approach to nonlinear dynamics
Konstantin Mischaikow (Rutgers)
Jan 30, 2019
ABSTRACT
WEBSITE
Statistical models of large graphs and networks
Peter Orbanz (Columbia)
Dec 5, 2018
ABSTRACT
WEBSITE
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations
Maziar Raissi (Brown)
Nov 7, 2018
ABSTRACT
WEBSITE
Visual Program Induction
Daniel Ritchie (Brown)
Oct 24, 2018
ABSTRACT
WEBSITE
Approximate Message Passing Algorithms for High Dimensional Statistical Estimation
Cynthia Rush (Columbia)
Oct 17, 2018
ABSTRACT
WEBSITE
Unsupervised Learning for Large Scale Medical Image Analysis
Adrian Dalca (MIT, MGH)
Oct 3, 2018
ABSTRACT
WEBSITE
Variable Prioritization in “Black Box” Statistical Methods
Lorin Crawford (Brown)
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2017-2018 Schedule
May 9, 2018
ABSTRACT
WEBSITE
Using the Morse Smale complex to understand 3D shape constancy
Ben Kunsberg (Brown)
May 2, 2018
ABSTRACT
WEBSITE
The synchronization problem for Kuramoto oscillators and beyond
Javier Morales (U. of Maryland)
Apr 25, 2018
ABSTRACT
WEBSITE
Machine Learning in a Setting of Ordinal Distance Information
Matthäus Kleindessner (Rutgers)
Apr 11, 2018
ABSTRACT
WEBSITE
Recent Advances in Elastic Functional and Shape Data Analysis
Anuj Srivistava (Florida State)
Mar 21, 2018
ABSTRACT
WEBSITE
Measure transport for Bayesian inference: theory and applications
Daniele Bigoni (MIT)
Feb 7, 2018
ABSTRACT
WEBSITE
Causes and Consequences of Human Genomic Variation
Sohini Ramachandran (Brown)
Dec 6, 2017
ABSTRACT
WEBSITE
Advancing Editing, Exploration, and Interaction for Video
James Tompkin (Brown)
Nov 29, 2017
ABSTRACT
WEBSITE
Sequential Bayesian inference via low-dimensional couplings
Youssef Marzouk (MIT)
Nov 8, 2017
ABSTRACT
WEBSITE
Toward perceptually consistent stereo
Todd Zickler (Harvard)
Nov 1, 2017
ABSTRACT
WEBSITE
Sifting through Measures on Networks: From a Theoretical Framework to an Empirical Guide
Tina Eliassi-Rad (Northeastern)
Oct 25, 2017
ABSTRACT
Feature Driven Exploration of Images Using Topology
Atilla Gyulassy (U. of Utah)
Oct 11, 2017
ABSTRACT
WEBSITE
Multireference Alignment with Nonperiodic Distribution is Easier
Nir Sharon (Princeton)
Sep 20, 2017
ABSTRACT
Graph-based Bayesian learning: continuum limits and algorithms
Daniel Sanz-Alonso (Brown)
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2016-2017 Schedule
May 3, 2017
ABSTRACT
WEBSITE
PCA from noisy linearly transformed measurements
Amit Singer (Princeton)
April 26, 2017
ABSTRACT
WEBSITE
Numerical Gaussian Processes (Physics Informed Learning Machines)
Maziar Raissi (Brown)
April 19, 2017
ABSTRACT
WEBSITE
Inference in Dynamical Systems
Sayan Mukherjee (Duke)
March 8, 2017
ABSTRACT
WEBSITE
Tropical coordinates on the space of persistence barcodes
Sara Kalisnik Verovsek (Brown)
February 8, 2017
ABSTRACT
WEBSITE
Deformation models for image and shape matching
Ronen Basri (Weizmann Institute of Science)
February 1, 2017
ABSTRACT
WEBSITE
Non-equilibrium transitions between metastable patterns in populations of motile bacteria
Eric Vanden-Eijnden (NYU)
November 30, 2016
ABSTRACT
WEBSITE
How high-order image statistics shape cortical visual processing
Jonathan Victor (Cornell)
November 9, 2016
ABSTRACT
WEBSITE
Joint Scientific Computing / Pattern Theory Seminar
Solution uncertainty quantification for differential equations
Oksana Chkrebtii (Ohio State)
November 2, 2016
ABSTRACT
WEBSITE
Fast quantification of uncertainty and robustness with variational Bayes
Tamara Broderick (MIT)
October 5, 2016
ABSTRACT
WEBSITE
Robust Bayesian inference via coarsening
Jeffrey Miller (Harvard)
September 28, 2016
ABSTRACT
WEBSITE
New Perspectives on Importance Sampling
Daniel Sanz Alonso (Brown)
September 21, 2016
ABSTRACT
WEBSITE
Structure-based comparisons for sequential data
Katherine Kinnaird (Brown)
September 14, 2016
ABSTRACT
WEBSITE
Discovering the Nature of Nonlinear Relationships
Joshua Vogelstein (Johns Hopkins)
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2015-2016 Schedule
May 18, 2016
ABSTRACT
WEBSITE
Learning Lattice Operators used in Computer Vision Tasks
Junior Barrera (Sao Paulo)
April 20, 2016
ABSTRACT
WEBSITE
Learning Causal Graphical Models of Large-Scale Systems
David Jensen (UMass Amherst)
March 23, 2016
ABSTRACT
WEBSITE
The Dynamics of the Unconscious Brain Under General Anesthesia
Emery Brown (MIT/Harvard)
March 16, 2016
ABSTRACT
WEBSITE
A simple network model for a variety of Delay Match to Sample tasks
Yali Amit (Chicago)
March 2, 2016
ABSTRACT
WEBSITE
The shape space defined by the Gromov-Wasserstein distance
Facundo Memoli (Ohio State)
February 17, 2016
ABSTRACT
WEBSITE
New applications and algorithms for submodular probabilistic models
Stefanie Jegelka (MIT)
February 3, 2016
ABSTRACT
WEBSITE
Constructing representations using Bayesian nonparametrics and connections between human knowledge, optimal foraging, and random walks on graphs
Joe Austerweil (Brown)
November 18, 2015
ABSTRACT
WEBSITE
Big data, Google and disease detection: the statistical story
Samuel Kou (Harvard)
October 28, 2015
ABSTRACT
WEBSITE
A stochastic model for Gompertzian growth
Benar Svaiter (IMPA, Brazil)
October 14, 2015
ABSTRACT
WEBSITE
Importance sampling in large-scale machine learning problems: why it works and how it can help
Rachel Ward (UT Austin)
October 7, 2015
ABSTRACT
WEBSITE
Local Shape from Shading with a Generic Constraint
Ben Kunsberg (Brown)
September 23, 2015
ABSTRACT
WEBSITE
Continuum limit of total variation on point clouds
Nicolas Garcia-Trillos (Brown)
September 9, 2015
ABSTRACT
WEBSITE
Random matrix theory based analysis of the correlation structure of protein sequences
Lucy Colwell (Cambridge)
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2014-2015 Schedule
May 6, 2015
ABSTRACT
WEBSITE
Two Recent Information Theoretic Variations on the Theme of Patterns in Security
Muriel Medard (MIT)
April 1, 2015
ABSTRACT
WEBSITE
Adaptive Bayesian Estimation of Conditional Densities
Andriy Norets (Brown)
March 18, 2015
ABSTRACT
WEBSITE
Using evolutionary sequence variation to make inferences about protein structure and function
Lucy Colwell (Cambridge)
March 4, 2015
ABSTRACT
WEBSITE
From Pixels to Local Layers: Exploring Flexible Representations for Motion Estimation
Deqing Sun (Harvard)
February 25, 2015
ABSTRACT
WEBSITE
Scaling and Generalizing Variational Inference
David Blei (Columbia)
February 4, 2015
ABSTRACT
WEBSITE
Computational reconstruction and modeling of multicellular dynamics from 3D+time in vivo imaging of animal early embryogenesis. Extension to Artificial Life.
René Doursat (CNRS/Ecole Polytechnique, Paris)
December 3, 2014
ABSTRACT
WEBSITE
Hypothesis-guided dimensionality reduction and its application to large-scale neuroscience
John Cunningham (Columbia)
Thursday, November 20, 2014 [4-5pm, Wilson 102]
ABSTRACT
WEBSITE
Joint Pattern Theory / LCDS Seminar
Geometric graph-based methods for high dimensional data
Andrea Bertozzi (UCLA)
November 12, 2014
ABSTRACT
WEBSITE
Multiscale models for shapes and images
Pedro Felzenszwalb (Brown)
November 5, 2014
ABSTRACT
WEBSITE
Cross-Study Validation versus Randomized Cross-Validation as Data Accumulate
Lo-Bin Chang (Johns Hopkins)
October 22, 2014
ABSTRACT
WEBSITE
Algorithms for Interpretable Machine Learning
Cynthia Rudin (MIT)
October 8, 2014
ABSTRACT
WEBSITE
A Simple Pattern-Theoretic Representation
Oren Freifeld (MIT)
October 1, 2014
ABSTRACT
WEBSITE
Statistical mechanics for real biological networks
William Bialek (Princeton)
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2013-2014 Schedule
April 30, 2014
ABSTRACT
WEBSITE
Division of Applied Mathematics / Center for Vision Research Seminar
Computational Anatomy, High Throughput Neuro-Imaging Informatics, and the BrainCloud
Michael Miller (Johns Hopkins)
April 23, 2014
ABSTRACT
WEBSITE
Climate informatics: Recent advances and challenge problems for machine learning in climate science
Claire Monteleoni (George Washington University)
April 16, 2014
ABSTRACT
WEBSITE
The Blended Paradigm: A Bayesian approach to handling outliers and misspecified models
Steven MacEachern (Ohio State)
April 9, 2014
ABSTRACT
WEBSITE
Division of Applied Mathematics / Center for Vision Research Seminar
The computational magic of the ventral stream: a theory (and why some deep architectures work)
Tomaso Poggio (MIT)
April 2, 2014
ABSTRACT
WEBSITE
Can connectomics help us understand neural computation? Insights from the fly visual system
Dmitri Chklovskii (Janelia Farm)
March 12, 2014
ABSTRACT
WEBSITE
Robust inference on parameters via particle filters and sandwich covariance matrices
Neil Shephard (Harvard)
February 26, 2014
ABSTRACT
WEBSITE
Productivity and reuse in language: Non-parametric Bayesian models of lexical acquisition
Timothy O'Donnell (MIT)
February 12, 2014
ABSTRACT
WEBSITE
Challenging issues in likelihood inference on mixture models
Daeyoung Kim (UMass Amherst)
December 4, 2013
ABSTRACT
WEBSITE
Big data in neuroscience: Where is the information?
Joachim Buhmann (ETH Zurich)
November 20, 2013
ABSTRACT
WEBSITE
Interactive Demonstrations in the Brown Robotics Lab [in CIT 134]
Chad Jenkins (Brown)
November 6, 2013
ABSTRACT
WEBSITE
Dirichlet process mixture inconsistency for the number of components, and dimension mixture models
Jeffrey Miller (Brown)
October 23, 2013
ABSTRACT
WEBSITE
High-dimensional statistics
Sahand Negahban (Yale)
October 9, 2013
ABSTRACT
WEBSITE
Model selection in a large compositional space
Roger Grosse (MIT)
September 11, 2013
ABSTRACT
WEBSITE
Parameter estimation robust to low-frequency contamination
Adam McCloskey (Brown)
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2012-2013 Schedule
May 8, 2013
ABSTRACT
Scale-invariance and metrics on spaces of plane curves
Matt Feiszli
April 17, 2013
ABSTRACT
WEBSITE
Towards a general theory of human learning and reasoning
Charles Kemp (Carnegie Mellon)
April 10, 2013
ABSTRACT
WEBSITE
Encoding binary neural codes in networks of threshold-linear neurons
Carina Curto (Nebraska-Lincoln)
April 3, 2013
ABSTRACT
WEBSITE
Learning to behave by reading
Regina Barzilay (MIT)
March 20, 2013
ABSTRACT
WEBSITE
Sparse superposition codes: Communication by regression
Andrew Barron (Yale)
February 27, 2013
ABSTRACT
WEBSITE
Bayesian model sampling in reinforcement learning
Michael Littman (Brown)
February 20, 2013
ABSTRACT
WEBSITE
Nonstationary modeling through dimension expansion
Luke Bornn (Harvard)
January 30, 2013
ABSTRACT
WEBSITE
Composite likelihood
Nancy Reid (Toronto)
November 14, 2012
ABSTRACT
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Linking signaling pathways and dynamic regulatory networks
Anthony Gitter (Microsoft Research)
November 7, 2012
ABSTRACT
WEBSITE
Natural image statistics and image restoration
Yair Weiss (Hebrew University)
October 24, 2012
ABSTRACT
WEBSITE
Active learning under margin assumptions
Sivan Sabato (Microsoft Research)
October 3, 2012
ABSTRACT
WEBSITE
Recovering large networks via optimizing non-likelihood functions
Rossi Luo (Brown)
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2011-2012 Schedule
May 16, 2012
ABSTRACT
WEBSITE
Division of Applied Mathematics / Center for Vision Research Seminar
Lessons from photographing and identifying the world's plant species
Peter Belhumeur (Columbia)
May 9, 2012
ABSTRACT
Computational challenges in molecular medicine
Donald Geman (Johns Hopkins)
April 25, 2012
ABSTRACT
Hallucinating scene detail and recognizing scene attributes
James Hays (Brown)
April 18, 2012
ABSTRACT
LP relaxations for global models in natural language processing
Sebastian Riedel (UMass)
March 28, 2012
ABSTRACT
What is the neural foundation of the vision process?
Christoph von der Malsburg (Frankfurt IAS)
March 21, 2012
ABSTRACT
The tree of life and the evolution of genome function
Casey Dunn (Brown)
February 8, 2012
ABSTRACT
Exploiting sparse structure by spectral connectivity analysis
Ann Lee (Carnegie Mellon)
February 1, 2012
ABSTRACT
Statistical analysis of populations with interacting and interfering units
Edo Airoldi (Harvard)
November 30, 2011
ABSTRACT
Exploring the role of ventral premotor cortex in reach-to-grasp movements:
neural trajectories through spike train similarity space
Carlos Vargas-Irwin (Brown)
November 2, 2011
ABSTRACT
Perceptual Fragments: Bottom-Up and Top-Down Use of Shape in Object Recognition
Benjamin Kimia (Brown)
October 19, 2011
ABSTRACT
Statistical challenges in neural data analysis
Liam Paninski (Columbia)
October 12, 2011
ABSTRACT
Spectral Methods for Learning Graphical Models
Sham Kakade (UPenn & MRNE)
October 5, 2011
ABSTRACT
Dynamic regulation of decision threshold by frontal cortex and basal ganglia
Michael Frank (Brown)
September 14, 2011
ABSTRACT
Non-parametric Priors for Segmentation of Medical Images
Polina Golland (MIT)
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2010-2011 Schedule
May 11, 2011
ABSTRACT
Division of Applied Mathematics / Center for Vision Research Seminar
Statistical structures of natural scenes and neural ensembles activities
Tai Sing Lee (Carnegie Mellon)
May 4, 2011
ABSTRACT
Logistic Regression on Data Streams
Kevin Kochanek (US Department of Defense)
April 20, 2011
ABSTRACT
Self-folding of polyhedra-- experiments and a little theory
Govind Menon (Brown)
April 6, 2011
ABSTRACT
Division of Applied Mathematics / Center for Vision Research Seminar
A High-Throughput Screening Approach to Biologically-Inspired Object
Recognition
David Cox (Rowland Institute at Harvard)
March 16, 2011
ABSTRACT
Solving Inference, Optimization, and Constraint Satisfaction Problems with the
Divide & Concur and Belief Propagation Message-Passing Algorithms
Jonathan Yedidia (MERL)
March 9, 2011
ABSTRACT
A history of applying principal component analyses to human population genetic
data
Sohini Ramachandran (Brown)
February 16, 2011
ABSTRACT
Patterns of Thought (in humanoid robots)
Yiannis Aloimonos (University of Maryland)
February 9, 2011
ABSTRACT
Division of Applied Mathematics / Center for Vision Research Seminar
Learning on Analytic Manifolds
Fatih Porikli (MERL)
November 17, 2010
ABSTRACT
Point process adaptive filters and the analysis of ensemble neural spiking
activity
Uri Eden (Boston University)
November 3, 2010
ABSTRACT
Bottom-up and top-down processing in visual perception
Thomas Serre (Brown)
October 20, 2010
ABSTRACT
Discovering Influential Variables: A Partition Retention Approach
Herman Chernoff (Harvard)
October 6, 2010
ABSTRACT
(CIT 241, Swig Boardroom)
Learning Probabilistic Models with Deep Hierarchical Structures
Ruslan Salakhutdinov (MIT)
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2009-2010 Schedule
May 10, 2010
ABSTRACT
Shared Segmentation of Natural Scenes using Dependent Pitman-Yor Processes
Erik Sudderth (Brown)
April 23, 2010
ABSTRACT
A Generative Model Approach to Fraud Detection
Brian Lucena (Guardian Analytics, Inc.)
April 21, 2010
ABSTRACT
Segmentation of Image Ensembles via Latent Atlases
Tammy Riklin-Raviv (MIT)
April 16, 2010
ABSTRACT
Applied Mathematics / Center for Statistical Sciences Seminar
Multi-Resolution Inference of Stochastic Models from Partially Observed Data
Samuel Kou (Harvard)
April 14, 2010
ABSTRACT
Preserving knowledge through media transitions: ushering the heritage of India
into the digital age
Peter Scharf (Brown)
April 9, 2010
ABSTRACT
Analysis of Molecular Networks
Mark Gerstein (Yale)
April 7, 2010
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Geometry of the space of 2D shapes equipped with the Weil-Petersson metric
Sergey Kushnarev (Brown)
March 24, 2010
ABSTRACT
Unsupervised Part of Speech Tagging: From graphical models to statistical
models to "biological" models
Michael Lamar (Brown)
March 17, 2010
ABSTRACT
Learning in Social Networks with Signals of Bounded Informativeness
Ilan Lobel (Microsoft Research New England)
March 12, 2010
ABSTRACT
Graphs and polytopes: learning structures with linear programming relaxations
Tommi Jaakkola (MIT)
March 10, 2010
ABSTRACT
Respondent-Driven Sampling for Networks: Degrees of Uncertainty with Uncertain
Degrees
Joe Blitzstein (Harvard)
March 3, 2010
ABSTRACT
Topic Models: Priors, Stop Words and Languages
Hanna Wallach (UMass)
February 17, 2010
ABSTRACT
Message Passing Algorithms for Compressed Sensing
Andrea Montanari (Stanford)
February 12, 2010
ABSTRACT
Applied Mathematics / Center for Vision Research Seminar
Learning Hierarchies of Sparse Visual Features
Yann LeCun (Courant)
February 3, 2010
ABSTRACT
An analysis of connectivity in neuronal population recordings
Asohan Amarasingham (Rutgers)
November 20, 2009
ABSTRACT
Applied Mathematics / Center for Statistical Sciences Seminar
Error controls for multiple hypothesis testing
Zhiyi Chi (U Conn)
November 18, 2009
ABSTRACT
Spectral Filtering Approaches to Machine Learning
Lorenzo Rosasco (MIT)
November 11, 2009
ABSTRACT
Generative Models for Image Analysis
Lo-Bin Chang (Brown)
November 6, 2009
ABSTRACT
Applied Mathematics / Center for Vision Research Seminar
Understanding Visual Scenes
Antonio Torralba (MIT)
November 2, 2009
ABSTRACT
Center for Statistical Sciences / Applied Mathematics Seminar
Application of Heteroskedastic Spatial Models to Computer Experiments
Richard A. Davis (Columbia)
October 28, 2009
ABSTRACT
Statistical Analysis of Climate Ecosystem Dynamics
Surajit Ray (Boston University)
October 21, 2009
ABSTRACT
Recent Advances on the Geometry of the Riemannian Manifold of Landmarks
Mario Micheli (UCLA)
October 14, 2009
ABSTRACT
SIFT Flow: Dense Scene Alignment and Its Applications
Ce Liu (Microsoft Research New England)
October 7, 2009
ABSTRACT
The probabilistic language of thought
Noah Goodman (MIT)
September 30, 2009
ABSTRACT
Learning maximum-entropy models of salience via EM
Micha Elsner (Brown)
September 23, 2009
ABSTRACT
Latent Socio-Spatial Process Model for Social Networks
Crystal Linkletter (Brown)
September 16, 2009
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Organizational meeting & Conditional inference for non-stationary data
Matthew Harrison (Brown)
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