Survey of commercial parallel machines. - Gowri Ramanathan; Joel Oren (SIGARCH Comput. Archit. News, 1993)

Threshold Models for Competitive Influence in Social Networks. - Allan Borodin; Yuval Filmus; Joel Oren (WINE, 2010)

Efficient Sum-Based Hierarchical Smoothing Under ell_1-Norm - Siavosh Benabbas; Hyun Chul Lee; Joel Oren; Yuli Ye (CoRR, 2011)

Truthful Mechanisms for Competing Submodular Processes - Allan Borodin; Mark Braverman; Brendan Lucier; Joel Oren (CoRR, 2012)

Efficient Vote Elicitation under Candidate Uncertainty. - Joel Oren; Yuval Filmus; Craig Boutilier (IJCAI, 2013)

Robust Winners and Winner Determination Policies under Candidate Uncertainty. - Craig Boutilier; Jérôme Lang; Joel Oren; Héctor Palacios (AAAI, 2014)

Online (Budgeted) Social Choice. - Joel Oren; Brendan Lucier (AAAI, 2014)

A Game-Theoretic Analysis of Catalog Optimization. - Joel Oren; Nina Narodytska; Craig Boutilier (AAAI, 2014)

Efficient voting via the top-k elicitation scheme: a probabilistic approach. - Yuval Filmus; Joel Oren (EC, 2014)

Power Distribution in Randomized Weighted Voting: the Effects of the Quota. - Joel Oren; Yuval Filmus; Yair Zick; Yoram Bachrach (CoRR, 2014)

The Pricing War Continues: On Competitive Multi-Item Pricing. - Omer Lev; Joel Oren; Craig Boutilier; Jeffrey S. Rosenschein (AAAI, 2015)

Influence at Scale: Distributed Computation of Complex Contagion in Networks. - Brendan Lucier; Joel Oren; Yaron Singer (KDD, 2015)

A Characterization of Voting Power for Discrete Weight Distributions. - Yoram Bachrach; Yuval Filmus; Joel Oren; Yair Zick (IJCAI, 2016)

Shapley Values in Weighted Voting Games with Random Weights. - Yuval Filmus; Joel Oren; Kannan Soundararajan (CoRR, 2016)

Multi-Winner Social Choice: Algorithmic and Game-theoretic Approaches. - Joel Oren (2016)

Strategyproof Mechanisms for Competitive Influence in Networks. - Allan Borodin; Mark Braverman; Brendan Lucier; Joel Oren (Algorithmica, 2017)

Generating Character Descriptions for Automatic Summarization of Fiction. - Weiwei Zhang; Jackie Chi Kit Cheung; Joel Oren (AAAI, 2019)

Strategic behavior and learning in all-pay auctions: an empirical study using crowdsourced data. - Yoram Bachrach; Ian A. Kash; Peter B. Key; Joel Oren (Auton. Agents Multi Agent Syst., 2019)

Practical Risk Measures in Reinforcement Learning. - Dotan Di Castro; Joel Oren; Shie Mannor (CoRR, 2019)

Analyzing Power in Weighted Voting Games with Super-Increasing Weights. - Yuval Filmus; Joel Oren; Yair Zick; Yoram Bachrach (Theory Comput. Syst., 2019)

Predicting User Demography and Device from News Comments. - Ohad Rozen; Joel Oren; Ariel Raviv (SIGIR, 2021)

SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. - Joel Oren; Chana Ross; Maksym Lefarov; Felix Richter 001; Ayal Taitler; Zohar Feldman; Dotan Di Castro; Christian Daniel (SOCS, 2021)

LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs. - Eitan Kosman; Joel Oren; Dotan Di Castro (CoRR, 2021)

LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs. - Eitan Kosman; Joel Oren; Dotan Di Castro (ICDM (Workshops), 2022)

Sampling Multiple Nodes in Large Networks: Beyond Random Walks. - Omri Ben-Eliezer; Talya Eden; Joel Oren; Dimitris Fotakis 001 (WSDM, 2022)