Spring 2022
Feb 4th – Dan Mikulincer, (MIT)
The Brownian transport map
Feb 18th – Ilias Zadik, (MIT)
On the power of LenstraLenstraLovasz in noiseless inference
Feb 25th – *POSTPONED* Yue Lu, (Harvard University)
Mar 4th – Edgar Dobriban, (University of Pennsylvania)
Optimal Testing for Calibration of Predictive Models
Mar 11th – Isaiah Andrews, (Harvard University)
Inference on Winners
Mar 18th – Subhabrata Sen (Harvard University)
Meanfield approximations for highdimensional Bayesian Regression
Apr 8th – LiYang Tan, (Stanford University)
The query complexity of certification
April 15th – Caroline Uhler, (MIT)
Apr 22nd – Yue M. Lu, (Harvard University)
Learning with Random Features and Kernels: Sharp Asymptotics and Universality Laws
Apr 29th – Giedre LideikyteHuber and Marta Pittavino (University of Geneva)
Is quantile regression a suitable method to understand tax incentives for charitable giving? Case study from the Canton of Geneva, Switzerland
May 6th – Jonathan Weare (New York University)
Sampling rare events in Earth and planetary science
Fall 2021
Sept 17 Lorenzo Rosasco (MIT/Universita’ di Genova) –
Interpolation and Learning with Scale Dependent Kernels
Sept 24 Boaz Barak (Harvard University)
Representation and generalization
Oct 1 Devavrat Shah (MIT)
Causal Matrix Completion
Oct 8 Yihong Wu (Yale University)
Recent Results in Planted Assignment Problems
Oct 15 Yuting Wei (Wharton School at the University of Pennsyvania)
Breaking the Sample Size Barrier in Reinforcement Learning
Oct 22 Kevin Jamieson (University of Washington)
Instance Dependent PAC Bounds for Bandits and Reinforcement Learning
Oct 29 Ronen Eldan (Weizmann Institute of Science/Princeton University)
Revealing the Simplicity of HighDimensional Objects via Pathwise Analysis
Nov 5 Morgane Austern (Harvard University)
Asymptotics of learning on dependent and structured random objects
Nov 12 Cynthia Rush (Columbia University)
Characterizing the Type 1Type 2 Error Tradeoff for SLOPE
Nov 19 Pragya Sur (Harvard)
Precise highdimensional asymptotics for AdaBoost via maxmargins & minnorm
interpolants
Dec 3 Jesse Thaler (MIT)
The Geometry of Particle Collisions: Hidden in Plain Sight
Spring 2021
Feb 19 Jerry Li (Microsoft Research) – Faster and Simpler Algorithms for List Learning
Feb 26 Yury Polyanskiy (MIT) – Selfregularizing Property of Nonparametric
Maximum Likelihood Estimator in Mixture Models
Mar 5 Bhaswar B. Bhattacharya (University of Pennsylvania – Wharton School) –
Detection Thresholds for DistributionFree NonParametric Tests:
The Curious Case of Dimension 8
Mar 12 James Robins (Harvard) – On nearly assumptionfree tests of nominal
confidence interval coverage for causal parameters estimated by machine learning
Mar 19 Daniel Roy (University of Toronto) – Relaxing the I.I.D. Assumption: Adaptively
Minimax Optimal Regret via RootEntropic Regularization
Mar 26 Vladimir Vovk (Royal Holloway, University of London) – Testing the I.I.D.
assumption online
Apr 2 Thibaut Le Gouic (MIT) – Sampler for the Wasserstein barycenter
Apr 9 Suriya Gunasekar (Microsoft Research) – Functions space view of linear multi
channel convolution networks with bounded weight norm
Apr 16 Eric Laber (Duke University) – Sample size considerations in precision medicine
Apr 23 Hilary Finucane (Broad Institute) – Prioritizing genes from genomewide
association studies
May 14 Ann Lee (Carnegie Mellon University) – LikelihoodFree Frequentist Inference
Fall 2020
Spring 2020
Feb 7  Weijie Su (University of Pennsylvania)
Gaussian Differential Privacy, with Applications to Deep Learning 
E18304 
Feb 14  Xiaohui Chen (University of Illinois at UrbanaChampaign)
Diffusion Kmeans Clustering on Manifolds: provable exact recovery via semidefinite relaxations 
E18304 
Feb 21  Rina Foygel Barber (University of Chicago)  E18304 
Feb 28  Kavita Ramanan (Brown University)  E18304 
Mar 6 
Suriya Gunasekar (Microsoft Research)  POSTPONED 
Mar 13  Dan Spielman (Yale University)  POSTPONED 
Mar 20  Hilary Finucane (Broad Institute of MIT)  POSTPONED 
Apr 10  Alessandro Rinaldo (Carnegie Mellon University)  POSTPONED 
Apr 10  Jonathan NilesWeed (New York University)  online 
Apr 17  Ery AriasCastro (University of California, San Diego)  online 
Apr 24  Jon Wellner (University of Washington)  POSTPONED 
Apr 24  Sebastien Bubeck (Microsoft Research)  online 
May 1  Annie Liang (University of Pennsylvania) 
POSTPONED 
May 1  Alexandre d’Aspremont (ENS, CNRS)  online 
May 8  Gerard Ben Arous (New York University, Courant Institute)  POSTPONED 
Fall 2019
IDS.190 – Topics in Bayesian Modeling and Computation
Slides related to this course are available for MIT students and faculty here.
Fall 2019
Spring 2019
Fall 2018
Spring 2018
Fall 2017
Spring 2017
Fall 2016
Spring 2016
Fall 2015
Spring 2015
Feb 6  Denis Chetverikov (UCLA) Central Limit Theorems and Bootstrap in High Dimensions 
E62450, 11am12pm 
Feb 13  VictorEmmanuel Brunel (Yale) Random polytopes and estimation of convex bodies 
E17133, 11am12pm 
Feb 27  Nike Sun (MSR New England and MIT Mathematics) The exact kSAT threshold for large k 
E62450, 11am12pm 
Apr 10  Moritz Hardt (IBM Almaden) How good is your model? Guiltfree interactive data analysis 
E62450, 11am12pm 
Apr 17  Vianney Perchet (Université Paris Diderot) From Bandits to Ethical Clinical Trials. Optimal Sample Size for MultiPhases Problems 
E62450, 11am12pm 
Apr 24  Ankur Moitra (MIT CSAIL) Tensor Prediction, Rademacher Complexity and Random 3XOR 
E62450, 11am12pm 
May 1  Han Liu (Princeton) Nonparametric Graph Estimation 
E62450, 11am12pm 
May 8  Lester Mackey (Stanford) Measuring Sample Quality with Stein’s Method 
E62450, 11am12pm 
Fall 2014
Spring 2014
Fall 2013
Sep 20  Elad Hazan (Technion) Sublinear Optimization 
N/A 
Sep 27  Jim Dai (Cornell University) Semimartingale reflecting Brownian motions: tail asymptotics for stationary distributions 
E62587, 11am12pm 
Nov 8  David Choi (Heinz College, Carnegie Mellon University) Consistency of Coclustering exchangeable graph data 
E62587, 11am12pm 
Nov 13  Lie Wang (MIT) Multivariate Regression with Calibration 
E62587, 4pm5pm 
Nov 15  Ramon van Handel (Princeton University) Conditional Phenomena in Time and Space 
E62587, 11am12pm 
Dec 13  Nelly Litvak (University of Twente) Degreedegree dependencies in random graphs with heavytailed degrees 
E62587, 11am12pm 
Spring 2013
Feb 8  Rahul Jain (University of Southern California) The Art of Gambling in a Team: MultiPlayer MultiArmed Bandits 

Apr 12  Yashodhan Kanoria (MSR New England and Columbia University) Which side chooses in large random matching markets? 

May 3  Rahul Jain (University of Southern California) Transitory Queueing Systems 
Fall 2012
Nov 30th  Rahul Mazumder (MIT) Lowrank Matrix Completion: Statistical Models and Large Scale Algorithms 

Nov 16th  Kuang Xu (MIT) Queueing system topologies with limited flexibility 

Oct 26th  Philippe Rigollet (Princeton University) Optimal detection of a sparse principal component 
Spring 2012
Mar 30  Dmitry Shabanov (Yandex and Moscow Institute of Physics and Technology) Van der Warden Number and Coloring of Hypergraphs with Large Girth 

Mar 29  Liudmila Ostroumova (Yandex and Moscow Institute of Physics and Technology) An Application of Talagrand’s Inequality to Prove a Concentration of Second Degrees in BuckleyOsthus Random Graph Model 

Mar 28  Daniil Musatov (Yandex and Moscow Institute of Physics and Technology) Conditional Coding with Limiting Computational Resources 

Mar 27  Andrei Raigorodksii (Yandex and Moscow Institute of Physics and Technology) Web Graph Models and Their Applications 

Mar 26  Andrei Raigorodksii (Yandex and Moscow Institute of Physics and Technology) Research Groups at Yandex and Moscow Institute of Physics and Technology 

Apr 20  Guy Bresler (University of California, Berkeley) Information theory of DNA sequencing 

Apr 27  Alexander Rybko (Institute for Information Transmission Problems, Russia) Meanfield Limit for General Queueing Networks on Infinite Graphs 

Apr 27  Semen Shlosman (CNRS, France and Institute for Information Transmission Problems, Russia) The Coherence Phase Transition 

May 18  Alexei Borodin (Massachusetts Institute of Technology) Growth of random surfaces 
Fall 2011
Oct 7  Erol Peköz (Boston University) Asymptotics for preferential attachment random graphs via Stein’s method 

Oct 21  Eitan Bachmat (BenGurion University) Does god play dice? An I/O scheduling and airplane boarding perspective 

Dec 16  Yuan Zhong (MIT ORC) Delay optimality in switched networks 
Spring 2009
Mar 13  Mohsen Bayati (Microsoft Research New England) Sequential algorithms for generating random graphs 

Apr 3  Mokshay Madiman (Yale University) A New Look at the Compound Poisson Distribution and Compound Poisson Approximation using Entropy 

Apr 10  Scott Sheffield (MIT Math) Fractional simple random walk 

Apr 17  Vivek F. Farias (MIT Sloan) The Smoothed Linear Program for Approximate Dynamic Programming 

May 1  Vivek Goyal (MIT EECS) On Resolution, Sparse Signal Recovery, and Random Access Communication 
Fall 2008
Sep 23  Benoît Collins (University of Ottawa) Convergence of unitary matrix integrals 
Spring 2008
Feb 29  Victor Chernozhukov (MIT Econ & ORC) Quantile and Probability Curves without Crossing 

Mar 21  Daron Acemoglu (MIT Economics) Fragility of Asymptotic Agreement under Bayesian Learning 

Apr 10  Peter Glynn(Stanford MS&E) Bounds on Stationary Expectations for Markov Processes> 

Apr 18  Ton Dieker(Georgia Tech I&SE) Large deviations for random walks under subexponentiality: the bigjump domain 

Apr 25  Edward Farhi (MIT Physics) Quantum Computation by Adiabatic Evolution 

May 23  Johan van Leeuwaarden (Eindhoven University of Technology, EURANDOM, NYU) The Gaussian random walk, sampling Brownian motion, and the Riemann zeta function 
Fall 2007
Nov 16  David Forney (MIT LIDS) Exponential Error Bounds for Random Codes on the BSC 