Microsoft @ NeurIPS 2018

Local Differential Privacy for Evolving Data
Tuesday, December 4, 2018 | 3:35 PM–3:40 PM | Room 517CD

Matthew Joseph, Aaron Roth, Jonathan Ullman, Bo Waggoner

Bounded-Loss Private Prediction Markets
Tuesday, December 4, 2018 | 4:05 PM–4:10 PM | Room 517CD

Rafael Frongillo, Bo Waggoner

Precision and Recall for Time Series
Tuesday, December 4, 2018 | 4:50 PM–4:55 PM | Room 220CD

Nesime Tatbul, Tae Jun Lee, Stan Zdonik, Mejbah Alam, Justin Gottschlich

Supervising Unsupervised Learning
Tuesday, December 4, 2018 | 4:55 PM–5:00 PM | Room 517CD

Vikas Garg, Adam Kalai

A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
Wednesday, December 5, 2018 | 9:45 AM–9:50 AM | Room 220CD

Sampath Kannan, Jamie Morgenstern, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu

Recurrent Transformer Networks for Semantic Correspondence
Wednesday, December 5, 2018 | 10:20 AM–10:25 AM | Room 220E

Seungryong Kim, Stephen Lin, Sang Ryul Jeon, Dongbo Min, Kwanghoon Sohn

On Oracle-Efficient PAC RL with Rich Observations
Wednesday, December 5, 2018 | 10:25 AM–10:30 AM | Room 220CD

Christoph Dann, Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal, John Langford, Robert Schapire

Natasha 2: Faster Non-Convex Optimization Than SGD
Wednesday, December 5, 2018 | 4:40 PM–4:45 PM | Room 517CD

Zeyuan Allen-Zhu

Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds
Thursday, December 6, 2018 | 4:55 PM–5:00 PM | Room 220CD

Raghav Somani, Chirag Gupta, Prateek Jain, Praneeth Netrapalli