LIDS & Stats Tea

Tea talks are 20 minute long informal chalk-talks for the purpose of sharing ideas and making others aware about some of the topics that may be of interest to the LIDS and Stats audience. If you are interested in presenting in the upcoming seminars, please email lids_stats_tea[at]mit[dot]edu. 

February 8, 2017

Maximum likelihood estimation of determinantal point processes

Victor-Emmanuel Brunel (Math)

Determinantal point processes (DPPs) are a very useful and elegant tool to model repulsive interactions, hence they have become very popular in data science and machine learning, among other fields. In a learning prospective, many estimators of...

February 15, 2017

Censored Demand Estimation in Retail

Jehangir Amjad (LIDS)

Our goal is to estimate the true demand of a product at a given store location and time period in the retail environment based on a single noisy and potentially censored observation. We introduce a framework to make inference from multiple time...

February 22, 2017

Peter Krafft - talk canceled

Peter Krafft - talk canceled (Media Lab)

Today's LIDS & Stats Tea talk has been canceled - our apologies for any inconvenience.

March 1, 2017

Shalev Ben-David

Shalev Ben-David (CSAIL)

March 8, 2017

Alan Malek

Alan Malek (IDSS)

March 15, 2017

Santiago Segarra

Santiago Segarra (IDSS)

March 22, 2017

Jonas Mueller

Jonas Mueller (CSAIL)

April 5, 2017

Ilias Zadik

Ilias Zadik (ORC)

April 12, 2017

Pritish Kamath

Pritish Kamath (CSAIL)

April 19, 2017

Ludwig Schmidt

Ludwig Schmidt (CSAIL)

April 26, 2017

Chengtao Li

Chengtao Li (LIDS)

May 3, 2017

Igor Kadota

Igor Kadota (LIDS)

May 10, 2017

Diego Cifuentes

Diego Cifuentes (LIDS)

May 17, 2017

Christos Thrampoulidis

Christos Thrampoulidis (LIDS)