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Search All 2021 Events
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Algorithms
Data, Challenges, Implementations, and Software
Deep Learning; Deep Learning
Neuroscience and Cognitive Science
Optimization; Optimization
Probabilistic Methods; Probabilistic Methods
Reinforcement Learning and Planning
Social Aspects of Machine Learning
Theory; Theory
9 Results
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Spotlight
Wed 5:30
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
Hedda Cohen Indelman · Tamir Hazan
Poster
Wed 9:00
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
Hedda Cohen Indelman · Tamir Hazan
Spotlight
Thu 7:25
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
Mihaela Curmei · Sarah Dean · Benjamin Recht
Poster
Thu 9:00
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
Mihaela Curmei · Sarah Dean · Benjamin Recht
Spotlight
Thu 20:40
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
Qitian Wu · Hengrui Zhang · Xiaofeng Gao · Junchi Yan · Hongyuan Zha
Poster
Thu 21:00
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
Qitian Wu · Hengrui Zhang · Xiaofeng Gao · Junchi Yan · Hongyuan Zha
Workshop
Fri 12:25
Paper Presentation 2: Leveraging Reinforcement Learning to build a Recommendation System for Incognito mode Users
Kishor Datta Gupta · Nafiz Sadman
Workshop
Fri 15:00
RL + Recommender Systems Panel
Alekh Agarwal · Ed Chi · Maria Dimakopoulou · Georgios Theocharous · Minmin Chen · Lihong Li
Workshop
Measuring User Recourse in a Dynamic Recommender System
Dilys Dickson · Elliot Creager