• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 10 matches

• 2024
• 
  Lynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar, Pasin Manurangsi, Nicolas Mayoraz, Hema Venkata Krishna Giri Narra, Steffen Rendle, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang:
  Training Differentially Private Ad Prediction Models With Semi-Sensitive Features. AdKDD@KDD 2024
• 
  Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang:
  Private Learning with Public Features. AISTATS 2024: 4150-4158
• 2023
• 
  Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang:
  Private Learning with Public Features. CoRR abs/2310.15454 (2023)
• 2021
• 
  Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier:
  RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems. CoRR abs/2103.08057 (2021)
• 2020
• 
  Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang:
  Rankmax: An Adaptive Projection Alternative to the Softmax Function. NeurIPS 2020
• 
  Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier:
  Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG. RecSys 2020: 591-593
• 2019
• 
  Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson:
  Efficient Training on Very Large Corpora via Gramian Estimation. ICLR (Poster) 2019
• 
  Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John R. Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess:
  Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. CoRR abs/1905.09874 (2019)
• 2018
• 
  Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson:
  Efficient Training on Very Large Corpora via Gramian Estimation. CoRR abs/1807.07187 (2018)
• 2017
• 
  Doris Xin, Nicolas Mayoraz, Hubert Pham, Karthik Lakshmanan, John R. Anderson:
  Folding: Why Good Models Sometimes Make Spurious Recommendations. RecSys 2017: 201-209