Houssam Nassif

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 25

Top Topics

Interactive Search

Reward Function

Experimental Designs

Empirical Bayes

Top Venues

Publications

Tanner Fiez, Houssam Nassif, Arick Chen, Sergio Gamez, Lalit Jain
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice. CoRR (2024)
Tanner Fiez, Houssam Nassif, Yu-Cheng Chen, Sergio Gamez, Lalit Jain
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice. WWW (2024)
Sinong Geng, Houssam Nassif, Carlos A. Manzanares
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models. UAI (2023)
Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti
Neural Insights for Digital Marketing Content Design. KDD (2023)
Sinong Geng, Houssam Nassif, Carlos A. Manzanares
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models. CoRR (2023)
Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Shreya Chakrabarti, Ricardo Henao
Neural Insights for Digital Marketing Content Design. CoRR (2023)
Justin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, Houssam Nassif, Lalit Jain
Experimental Designs for Heteroskedastic Variance. NeurIPS (2023)
Tanner Fiez, Sergio Gamez, Arick Chen, Houssam Nassif, Lalit Jain
Adaptive Experimental Design and Counterfactual Inference. CoRR (2022)
Zhaoqi Li, Lillian J. Ratliff, Houssam Nassif, Kevin G. Jamieson, Lalit Jain
Instance-optimal PAC Algorithms for Contextual Bandits. CoRR (2022)
Zhaoqi Li, Lillian J. Ratliff, Houssam Nassif, Kevin G. Jamieson, Lalit Jain
Instance-optimal PAC Algorithms for Contextual Bandits. NeurIPS (2022)
Sareh Nabi, Houssam Nassif, Joseph Hong, Hamed Mamani, Guido Imbens
Bayesian Meta-Prior Learning Using Empirical Bayes. Manag. Sci. 68 (3) (2022)
Kwang-Sung Jun, Lalit Jain, Houssam Nassif, Blake Mason
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits. ICML (2021)
Sinong Geng, Houssam Nassif, Carlos A. Manzanares, A. Max Reppen, Ronnie Sircar
Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions. ICML (2020)
Sareh Nabi, Houssam Nassif, Joseph Hong, Hamed Mamani, Guido Imbens
Decoupling Learning Rates Using Empirical Bayes Priors. CoRR (2020)
Sinong Geng, Houssam Nassif, Carlos A. Manzanares, A. Max Reppen, Ronnie Sircar
Identifying Reward Functions using Anchor Actions. CoRR (2020)
Kwang-Sung Jun, Lalit Jain, Houssam Nassif
Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits. CoRR (2020)
Ari Biswas, Thai T. Pham, Michael Vogelsong, Benjamin Snyder, Houssam Nassif
Seeker: Real-Time Interactive Search. CoRR (2019)
Ari Biswas, Thai T. Pham, Michael Vogelsong, Benjamin Snyder, Houssam Nassif
Seeker: Real-Time Interactive Search. KDD (2019)
Neela Sawant, Chitti Babu Namballa, Narayanan Sadagopan, Houssam Nassif
Contextual Multi-Armed Bandits for Causal Marketing. CoRR (2018)
Houssam Nassif, Kemal Oral Cansizlar, Mitchell Goodman, S. V. N. Vishwanathan
Diversifying Music Recommendations. CoRR (2018)
Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan
Adaptive, Personalized Diversity for Visual Discovery. CoRR (2018)
Houssam Nassif, Hassan Al-Ali, Sawsan Khuri, Walid Keirouz, David Page
An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge. CoRR (2018)
Daniel N. Hill, Houssam Nassif, Yi Liu, Anand Iyer, S. V. N. Vishwanathan
An Efficient Bandit Algorithm for Realtime Multivariate Optimization. CoRR (2018)
Daniel N. Hill, Houssam Nassif, Yi Liu, Anand Iyer, S. V. N. Vishwanathan
An Efficient Bandit Algorithm for Realtime Multivariate Optimization. KDD (2017)
Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan
Adaptive, Personalized Diversity for Visual Discovery. RecSys (2016)
Finn Kuusisto, Vítor Santos Costa, Houssam Nassif, Elizabeth S. Burnside, David Page, Jude W. Shavlik
Support Vector Machines for Differential Prediction. ECML/PKDD (2) (2014)
Houssam Nassif, Finn Kuusisto, Elizabeth S. Burnside, Jude W. Shavlik
Uplift Modeling with ROC: An SRL Case Study. ILP (Late Breaking Papers) (2013)
Jie Liu, David Page, Houssam Nassif, Jude W. Shavlik, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside
Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms. AMIA (2013)
Houssam Nassif, Finn Kuusisto, Elizabeth S. Burnside, David Page, Jude W. Shavlik, Vítor Santos Costa
Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift Modeling. ECML/PKDD (3) (2013)
Finn Kuusisto, Inês de Castro Dutra, Houssam Nassif, Yirong Wu, Molly E. Klein, Heather B. Neuman, Jude W. Shavlik, Elizabeth S. Burnside
Using machine learning to identify benign cases with non-definitive biopsy. Healthcom (2013)
José Carlos Almeida Santos, Houssam Nassif, David Page, Stephen H. Muggleton, Michael J. E. Sternberg
Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study. BMC Bioinform. 13 (2012)
Houssam Nassif, Yirong Wu, David Page, Elizabeth S. Burnside
Logical Differential Prediction Bayes Net, improving breast cancer diagnosis for older women. AMIA (2012)
Bethany Percha, Houssam Nassif, Jafi A. Lipson, Elizabeth S. Burnside, Daniel L. Rubin
Automatic classification of mammography reports by BI-RADS breast tissue composition class. J. Am. Medical Informatics Assoc. 19 (5) (2012)
Houssam Nassif, Vítor Santos Costa, Elizabeth S. Burnside, David Page
Relational Differential Prediction. ECML/PKDD (1) (2012)
Houssam Nassif, Filipe Cunha, Inês C. Moreira, Ricardo Cruz-Correia, Eliana Sousa, David Page, Elizabeth S. Burnside, Inês de Castro Dutra
Extracting BI-RADS features from Portuguese clinical texts. BIBM (2012)
Houssam Nassif, David Page, Mehmet Ayvaci, Jude W. Shavlik, Elizabeth S. Burnside
Uncovering age-specific invasive and DCIS breast cancer rules using inductive logic programming. IHI (2010)
Houssam Nassif, Hassan Al-Ali, Sawsan Khuri, Walid Keirouz, David Page
An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge. ILP (2009)
Houssam Nassif, Ryan W. Woods, Elizabeth S. Burnside, Mehmet Ayvaci, Jude W. Shavlik, David Page
Information Extraction for Clinical Data Mining: A Mammography Case Study. ICDM Workshops (2009)