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

September 18, 2019

Convex Relaxation of Combined Heat and Power Dispatch

Yibao Jiang (LIDS)

Combined heat and power dispatch are utilized for coordinated scheduling of electric power systems and district heating systems via interactions through combined heat and power plants and heat pumps. Nonlinear heating flow models generally make the...

September 25, 2019

Bounding Machine Learning Model Errors in Power Grid Analysis

Yuxiao Liu (LIDS)

Machine learning methods analysis power grids under incomplete physical information, and their accuracy has been mostly validated empirically using excessive testing datasets. We explore error bounds for machine learning methods under all possible...

October 2, 2019

Efficient Learning from Untrusted Batches

Sitan Chen (CSAIL)

In recent years there has been an explosion of interest in designing unsupervised learning algorithms able to tolerate adversarial corruptions in the input data. A notable instantiation of this, first introduced to the theory community by Qiao and...

October 9, 2019

Genomic Variety Estimation via Bayesian Nonparametrics

Lorenzo Masoero (EECS)

The exponential growth in size of human genomic studies, with tens of thousands of observations,  opens up the intriguing possibility to investigate the role of rare genetic variants in biological human evolution. A better understanding of rare...

October 16, 2019

Learning L2 Continuous Regression Functionals via Regularized Riesz Representers

Rahul Singh (Economics)

Many objects of interest can be expressed as an L2 continuous functional of regression, including average treatment effects, economic average consumer surplus, expected conditional covariances, and discrete choice parameters that depend on...

October 23, 2019

LIDS & Stats Tea Talk - Brian Trippe (CSAIL)

Brian Trippe (CSAIL)

October 30, 2019

LIDS & Stats Tea Talk - Anish Agrawal (LIDS)

Anish Agrawal (LIDS)

November 6, 2019

LIDS & Stats Tea Talk - Cesar A Uribe (LIDS)

Cesar A Uribe (LIDS)

November 13, 2019

LIDS & Stats Tea Talk - Igor Kadota (LIDS)

Igor Kadota (LIDS)

November 20, 2019

LIDS & Stats Tea Talk - Manxi Wu (IDSS)

Manxi Wu (IDSS)

December 4, 2019

LIDS & Stats Tea Talk - Chandler Squires (LIDS)

Chandler Squires (LIDS)