site stats

Chara podimata

WebSep 30, 2024 · Bandits and Experts in Metric Spaces. JACM 2024. [2] Aleksandrs Slivkins. Contextual Bandits with Similarity Information. ACLT 2011. [3] Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu. Adaptive Discretization in Online Reinforcement Learning. Under Review at OR 2024. [4] Chara Podimata, Aleksandrs Slivkins. WebClément Canonne, Jelani Nelson, Chara Podimata. Moderator: Ellen Vitercik. Venue: Seminar room (gather.town) The panel will focus on the evolution of research at the scale of a project, PhD thesis, and overall career. October 27, 2024, 23:30 ET. Mentoring Tables.

Quantifying Uncertainty: Stochastic, Adversarial, and Beyond

WebEECS Special Seminar: Chara Podimata "Incentive-Aware Machine Learning for Decision Making" Speaker. Chara Podimata. Harvard U. Host. Aleksander Madry. March 08 2024 10:00 A - 11:00 A. Location ... Chara is a final year PhD student at Harvard, where she is advised by Yiling Chen. Her research is supported by a Microsoft Dissertation Grant and … WebSep 23, 2024 · September 23, 2024 09:00 AM Eastern Daylight Time. REDWOOD CITY, Calif.-- ( BUSINESS WIRE )--The Siebel Scholars Foundation today announced the recipients of the 2024 Siebel Scholars award. Now in ... send a friend a gift box https://caminorealrecoverycenter.com

Chara Podimata (Harvard) - Incentive-Aware Machine Learning …

WebChara Podimata Charbel Sakr Charilaos Kanatsoulis Charles B. Delahunt Charles R. Qi Charles Schaff Charles Staats Charles Yang Zheng Charlie Nash. Charlie Snell Charline Le Lan Charlotte Caucheteux Charlotte Debus Charu Sharma Chawin Sitawarin Che Wang Chen Chen Chen Chen Chen Chen. Chen Dan Chen Fan Chen Feng Chen Gao Chen … WebBio: Chara is a final year PhD student at Harvard, where she is advised by Yiling Chen. Her research is supported by a Microsoft Dissertation Grant and a Siebel Scholarship. During … WebChara Podimata is a final year PhD student at Harvard, where she is advised by Yiling Chen. Her research is supported by a Microsoft Dissertation Grant and a Siebel … send a food gift card

NeurIPS 2024

Category:Communications Chairs 2024 – NeurIPS Blog

Tags:Chara podimata

Chara podimata

2024 Conference – NeurIPS Blog

WebChara is a final year PhD student at Harvard, where she is advised by Yiling Chen. Her research is generously supported by a Microsoft Dissertation Grant and a Siebel … WebFeb 10, 2024 · Chara Podimata. PhD Student, Harvard University. Chara is a final year PhD student at Harvard, where she is advised by Yiling Chen. Her research is …

Chara podimata

Did you know?

WebAkshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, and Robert Schapire; Operations Research, 2024 (OR22) pdf slides video poster. Conference Publications 2024. Corruption-Robust Contextual Search through Density Updates Renato Paes Leme, Chara Podimata, and Jon Schneider; In Proc. of the 35th Annual Conference on Learning … WebNov 16, 2024 · Speaker: Chara Podimata: 22:00: Data Compression with Machine Learning Speakers: Karen Ullrich, Yibo Yang, Stephan Mandt: Creative Culture and Machine Learning Speakers: Negar Rostamzadeh, Anna Huang, Mark Riedl: 01:00: Theory and Practice of Efficient and Accurate Dataset Construction

WebChara Podimata. Postdoctoral Researcher, Harvard University. Research Fellow. Chara is a sixth year PhD student in the EconCS group at Harvard University, where she is … WebChara Podimata Virtual [ Abstract ] [ Website ] Mon 5 Dec 11 a.m. PST — 1:30 p.m. PST Abstract: When an algorithm can make consequential decisions for people's lives, people have an incentive to respond to the algorithm strategically in order to obtain a more desirable decision. This means that unless the algorithm adapts to this strategizing ...

WebChara Podimata. Incentive Compatible and Incentive-Aware Learning Tutorial at EC2024 Pre-recording dates: June 17th and June 18th Organizers: Nika Haghtalab, Chara Podimata. Motivation. Machine Learning has revolutionized our everyday lives. All of us rely on complex algorithms that learn our preferences over products, services, and even news ... http://live.cs.uchicago.edu/charapodimata/

WebAug 23, 2016 · Chara Podimata is on Facebook. Join Facebook to connect with Chara Podimata and others you may know. Facebook gives people the power to share and …

WebChara is a sixth year PhD student in the EconCS group at Harvard University, where she is advised by Professor Yiling Chen. Chara's research interests lie mostly on the … send a get well cardWebNov 29, 2024 · Speaker: Chara Podimata: 22:00: Data Compression with Machine Learning Speakers: Karen Ullrich, Yibo Yang, Stephan Mandt: Creative Culture and Machine Learning Speakers: Negar Rostamzadeh, Anna Huang, Mark Riedl: 01:00: Theory and Practice of Efficient and Accurate Dataset Construction send a friend resume for referral emailWebSep 16, 2024 · The workshop will explore online decision-making under different modeling assumptions on the reward structure. The two classical approaches for that consist of the setting where rewards are stochastic from a distribution and the one where they are adversarially selected. We will discuss different hybrid models to go between these … send a free valentines cardWebJan 1, 2024 · Chen, Yiling; Liu, Yang; Podimata, Chara Award ID(s): 2007951 Publication Date: 2024-01-01 NSF-PAR ID: 10282453 Journal Name: Advances in Neural Information Processing Systems Volume: 33 Page Range or eLocation-ID: 15265--15276 Sponsoring Org: National Science Foundation. More Like this. send a friend discount codesWebChara Podimata 2024 Tutorial: Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity » Chara Podimata 2024 : Tutorial part 1 » Chara Podimata 2024 : Causal Inference out of Control: Identifying the Steerability of Consumption » send a gift hamperWebApr 3, 2015 · Chara Podimata PhD student at Harvard CS Cambridge, Massachusetts, United States 477 followers 466 connections Join to … send a friend referral hr blockWebMay 27, 2024 · Authors: Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah. Download PDF Abstract: This paper is part of an emerging line of work at the intersection of machine learning and mechanism design, which aims to avoid noise in training data by correctly aligning the incentives of data sources. Specifically, we focus on the ubiquitous ... send a friend request on fb