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 9, 2020

Model-Based Reinforcement Learning for Countably Infinite State Space MDP

Bai Liu (LIDS)

With the rapid advance of information technology, network systems have become increasingly complex and hence the underlying system dynamics are typically unknown or difficult to characterize. Finding a good network control policy is of significant...

September 16, 2020

Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection

Tianyi Peng (AeroAstro)

Tianyi will discuss the work about how to achieve the optimal detection rate for detecting anomalies in a low-rank matrix. The concrete application we are studying is a crucial inventory management problem ('phantom inventory') that by some measures...

September 23, 2020

Towards Data Auctions with Externalities

Maryann Rui (LIDS)

The design of data markets has gained in importance as firms increasingly use predictions from machine learning models to make their operations more effective, yet need to externally acquire the necessary training data to fit such models. This is...

September 30, 2020

Active Learning for Nonlinear System Identification with Guarantees

Horia Mania (LIDS)

While the identification of nonlinear dynamical systems is a fundamental building block of model-based reinforcement learning and feedback control, its sample complexity is only understood for systems that either have discrete states and actions or...

October 7, 2020

LIDS & Stats Tea

Model-Based Reinforcement Learning for Countably Infinite State Space MDP

Solving the Phantom Inventory Problem: Near-optimal Entry-wise Anomaly Detection

Towards Data Auctions with Externalities

Active Learning for Nonlinear System Identification with Guarantees

LIDS & Stats Tea Talk - Joshua Robinson (CSAIL)

LIDS & Stats Tea Talk - Jingzhao Zhang (LIDS)

LIDS & Stats Tea Talk - Jason Altschuler (LIDS)

LIDS & Stats Tea Talk - Sarah Cen (LIDS)

LIDS & Stats Tea Talks - Alireza Fallah (LIDS)

LIDS & Stats Tea Talk - Ezra Tal (LIDS)

LIDS & Stats Tea Talk - Theo Diamandis (LIDS)

LIDS & Stats Tea Talk - Xiang Cheng (LIDS)