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21 Results

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Poster
Thu 18:30 Discovering Context Effects from Raw Choice Data
Arjun Seshadri · Alexander Peysakhovich · Johan Ugander
Poster
Thu 18:30 Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
Uthsav Chitra · Benjamin Raphael
Poster
Thu 18:30 Graph Resistance and Learning from Pairwise Comparisons
Julien Hendrickx · Alex Olshevsky · Venkatesh Saligrama
Poster
Thu 18:30 Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models
Chenyang ZHANG · Guosheng Yin
Poster
Wed 18:30 Active Embedding Search via Noisy Paired Comparisons
Gregory Canal · Andy Massimino · Mark Davenport · Christopher Rozell
Poster
Thu 18:30 Mallows ranking models: maximum likelihood estimate and regeneration
Wenpin Tang
Poster
Thu 18:30 CAB: Continuous Adaptive Blending for Policy Evaluation and Learning
Yi Su · Luke Lequn Wang · Michele Santacatterina · Thorsten Joachims
Poster
Thu 18:30 On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference
Rohin Shah · Noah Gundotra · Pieter Abbeel · Anca Dragan
Poster
Thu 18:30 Scaling Up Ordinal Embedding: A Landmark Approach
Jesse Anderton · Javed Aslam
Poster
Wed 18:30 Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
Daniel Brown · Wonjoon Goo · Prabhat Nagarajan · Scott Niekum
Poster
Thu 18:30 Fast Algorithm for Generalized Multinomial Models with Ranking Data
Jiaqi Gu · Guosheng Yin
Poster
Thu 18:30 Learning to select for a predefined ranking
Aleksei Ustimenko · Aleksandr Vorobev · Gleb Gusev · Pavel Serdyukov