Andrew Tomkins

ORCID

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 52

Top Venues

Publications

Flavio Chierichetti, Mirko Giacchini, Ravi Kumar, Alessandro Panconesi, Andrew Tomkins
Approximating a RUM from Distributions on k-Slates. AISTATS (2023)
Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins
ACM WSDM 2023 Report. SIGWEB Newsl. 2023 (Spring) (2023)
Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins
Substance or Style: What Does Your Image Embedding Know? CoRR (2023)
Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins
Surprise: Result List Truncation via Extreme Value Theory. SIGIR (2023)
Flavio Chierichetti, Mirko Giacchini, Ravi Kumar, Alessandro Panconesi, Andrew Tomkins
Approximating a RUM from Distributions on k-Slates. CoRR (2023)
Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins
Report on the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023). SIGIR Forum 57 (1) (2023)
K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins
ACM WSDM 2022 report. SIGWEB Newsl. 2022 (Summer) (2022)
Martin Mladenov, Sanjay Ganapathy Subramaniam, Chih-Wei Hsu, Neha Arora, Andrew Tomkins, Craig Boutilier, Carolina Osorio
An adversarial variational inference approach for travel demand calibration of urban traffic simulators. SIGSPATIAL/GIS (2022)
Matteo Almanza, Flavio Chierichetti, Ravi Kumar, Alessandro Panconesi, Andrew Tomkins
RUMs from Head-to-Head Contests. ICML (2022)
Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan
Adversarial Robustness Across Representation Spaces. CVPR (2021)
Neha Arora, Yi-Fan Chen, Sanjay Ganapathy, Yechen Li, Ziheng Lin, Carolina Osorio, Andrew Tomkins, Iveel Tsogsuren
An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models. CoRR (2021)
Chun-Ta Lu, Yun Zeng, Da-Cheng Juan, Yicheng Fan, Zhe Li, Jan Dlabal, Yi-Ting Chen, Arjun Gopalan, Allan Heydon, Chun-Sung Ferng, Reah Miyara, Ariel Fuxman, Futang Peng, Zhen Li, Tom Duerig, Andrew Tomkins
CARLS: Cross-platform Asynchronous Representation Learning System. CoRR (2021)
Flavio Chierichetti, Ravi Kumar, Andrew Tomkins
Light RUMs. ICML (2021)
Dara Bahri, Yi Tay, Che Zheng, Cliff Brunk, Donald Metzler, Andrew Tomkins
Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. WSDM (2021)
Neha Arora, Theophile Cabannes, Sanjay Ganapathy, Yechen Li, Preston McAfee, Marc Nunkesser, Carolina Osorio, Andrew Tomkins, Iveel Tsogsuren
Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City. CoRR (2021)
Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins
Choppy: Cut Transformer for Ranked List Truncation. SIGIR (2020)
Flavio Chierichetti, Ravi Kumar, Andrew Tomkins
Asymptotic Behavior of Sequence Models. WWW (2020)
Richard Barnes, Senaka Buthpitiya, James Cook, Alex Fabrikant, Andrew Tomkins, Fangzhou Xu
BusTr: Predicting Bus Travel Times from Real-Time Traffic. CoRR (2020)
Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins
Graph Autoencoders with Deconvolutional Networks. CoRR (2020)
Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins
Surprise: Result List Truncation via Extreme Value Theory. CoRR (2020)
Richard Barnes, Senaka Buthpitiya, James Cook, Alex Fabrikant, Andrew Tomkins, Fangzhou Xu
BusTr: Predicting Bus Travel Times from Real-Time Traffic. KDD (2020)
Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins
Reverse Engineering Configurations of Neural Text Generation Models. CoRR (2020)
Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins
Choppy: Cut Transformer For Ranked List Truncation. CoRR (2020)
Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Cliff Brunk, Andrew Tomkins
Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. CoRR (2020)
Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins
Reverse Engineering Configurations of Neural Text Generation Models. ACL (2020)
Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi
Ultra Fine-Grained Image Semantic Embedding. WSDM (2020)
Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan
Adversarial Robustness Across Representation Spaces. CoRR (2020)
Krishnamurthy Viswanathan, Sushant Sachdeva, Andrew Tomkins, Sujith Ravi
Improved Semi-Supervised Learning with Multiple Graphs. AISTATS (2019)
Otilia Stretcu, Krishnamurthy Viswanathan, Dana Movshovitz-Attias, Emmanouil A. Platanios, Sujith Ravi, Andrew Tomkins
Graph Agreement Models for Semi-Supervised Learning. NeurIPS (2019)
Benjamin Spector, Ravi Kumar, Andrew Tomkins
Preventing Adversarial Use of Datasets through Fair Core-Set Construction. CoRR (2019)
Neha Arora, James Cook, Ravi Kumar, Ivan Kuznetsov, Yechen Li, Huai-Jen Liang, Andrew Miller, Andrew Tomkins, Iveel Tsogsuren, Yi Wang
Hard to Park?: Estimating Parking Difficulty at Scale. KDD (2019)
Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi
Graph-RISE: Graph-Regularized Image Semantic Embedding. CoRR (2019)
Flavio Chierichetti, Ravi Kumar, Andrew Tomkins
Learning a Mixture of Two Multinomial Logits. ICML (2018)
Flavio Chierichetti, Ravi Kumar, Andrew Tomkins
Discrete Choice, Permutations, and Reconstruction. SODA (2018)
Austin R. Benson, Ravi Kumar, Andrew Tomkins
A Discrete Choice Model for Subset Selection. WSDM (2018)
Austin R. Benson, Ravi Kumar, Andrew Tomkins
Sequences of Sets. KDD (2018)
Zachary Friggstad, Sreenivas Gollapudi, Kostas Kollias, Tamás Sarlós, Chaitanya Swamy, Andrew Tomkins
Orienteering Algorithms for Generating Travel Itineraries. WSDM (2018)
Alex Fabrikant, Mohammad Mahdian, Andrew Tomkins
SCRank: Spammer and Celebrity Ranking in Directed Social Networks. CoRR (2018)
Andrew Tomkins, William D. Heavlin, Min Zhang
Reply to Bennett et al.: IJROBP study is consistent with our findings and offers insights on author preferences. Proc. Natl. Acad. Sci. USA 115 (9) (2018)
Andrew Tomkins, Min Zhang, William D. Heavlin
Reviewer bias in single- versus double-blind peer review. Proc. Natl. Acad. Sci. USA 114 (48) (2017)
Andrew Tomkins, Min Zhang, William D. Heavlin
Single versus Double Blind Reviewing at WSDM 2017. CoRR (2017)
Ravi Kumar, Maithra Raghu, Tamás Sarlós, Andrew Tomkins
Linear Additive Markov Processes. WWW (2017)
Ravi Kumar, Maithra Raghu, Tamás Sarlós, Andrew Tomkins
Linear Additive Markov Processes. CoRR (2017)
Muthu Muthukrishnan, Andrew Tomkins, Larry P. Heck, Alborz Geramifard, Deepak Agarwal
The Future of Artificially Intelligent Assistants. KDD (2017)
Austin R. Benson, Ravi Kumar, Andrew Tomkins
Modeling User Consumption Sequences. WWW (2016)
Andrew Tomkins
Large-scale analytics of dynamics of choice among discrete alternatives. WebSci (2016)
Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, László Lukács, Marina Ganea, Peter Young, Vivek Ramavajjala
Smart Reply: Automated Response Suggestion for Email. KDD (2016)
Austin R. Benson, Ravi Kumar, Andrew Tomkins
On the Relevance of Irrelevant Alternatives. WWW (2016)
Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, László Lukács, Marina Ganea, Peter Young, Vivek Ramavajjala
Smart Reply: Automated Response Suggestion for Email. CoRR (2016)
Ravi Kumar, Andrew Tomkins, Sergei Vassilvitskii, Erik Vee
Inverting a Steady-State. WSDM (2015)
Ravi Kumar, Mohammad Mahdian, Bo Pang, Andrew Tomkins, Sergei Vassilvitskii
Driven by Food: Modeling Geographic Choice. WSDM (2015)
Andrew Tomkins
Large-Scale Analysis of Dynamics of Choice Among Discrete Alternatives. CIKM (2015)
Ashton Anderson, Ravi Kumar, Andrew Tomkins, Sergei Vassilvitskii
The dynamics of repeat consumption. WWW (2014)
Shaomei Wu, Atish Das Sarma, Alex Fabrikant, Silvio Lattanzi, Andrew Tomkins
Arrival and departure dynamics in social networks. WSDM (2013)
James Cook, Atish Das Sarma, Alex Fabrikant, Andrew Tomkins
Your two weeks of fame and your grandmother's. WWW (2012)
Debmalya Panigrahi, Atish Das Sarma, Gagan Aggarwal, Andrew Tomkins
Online selection of diverse results. WSDM (2012)
Joydeep Ghosh, Padhraic Smyth, Andrew Tomkins, Rich Caruana
Special issue on best of SIGKDD 2011. ACM Trans. Knowl. Discov. Data 6 (4) (2012)
James Cook, Atish Das Sarma, Alex Fabrikant, Andrew Tomkins
Your Two Weeks of Fame and Your Grandmother's CoRR (2012)
Amr El Abaddi, Lars Backstrom, Soumen Chakrabarti, Alejandro Jaimes, Jure Leskovec, Andrew Tomkins
Social media: source of information or bunch of noise. WWW (Companion Volume) (2011)
Flavio Chierichetti, Ravi Kumar, Andrew Tomkins
Stochastic models for tabbed browsing. WWW (2010)
Ravi Kumar, Yury Lifshits, Andrew Tomkins
Evolution of two-sided markets. WSDM (2010)
Andrei Z. Broder, Elizabeth F. Churchill, Marti A. Hearst, Barney Pell, Prabhakar Raghavan, Andrew Tomkins
Search is dead!: long live search. WWW (2010)
Flavio Chierichetti, Ravi Kumar, Andrew Tomkins
Max-cover in map-reduce. WWW (2010)
Ravi Kumar, Andrew Tomkins
A characterization of online browsing behavior. WWW (2010)
Ana Paula Appel, Deepayan Chakrabarti, Christos Faloutsos, Ravi Kumar, Jure Leskovec, Andrew Tomkins
ShatterPlots: Fast Tools for Mining Large Graphs. SDM (2009)
Qiaozhu Mei, Kristina Lisa Klinkner, Ravi Kumar, Andrew Tomkins
An analysis framework for search sequences. CIKM (2009)
Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Raghu Ramakrishnan, Andrew Tomkins, Philip Bohannon, S. Sathiya Keerthi, Srujana Merugu
A web of concepts. PODS (2009)
Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Andrew Tomkins
Matching Reviews to Objects using a Language Model. EMNLP (2009)
Luciano Barbosa, Ravi Kumar, Bo Pang, Andrew Tomkins
For a few dollars less: Identifying review pages sans human labels. HLT-NAACL (2009)
Ravi Kumar, Andrew Tomkins
A Characterization of Online Search Behavior. IEEE Data Eng. Bull. 32 (2) (2009)
Andrew Tomkins
The Future of Search: An Online Content Perspective. PAKDD (2009)
Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Andrew Tomkins
A translation model for matching reviews to objects. CIKM (2009)
Ravi Kumar, Alexander Tuzhilin, Christos Faloutsos, David D. Jensen, Gueorgi Kossinets, Jure Leskovec, Andrew Tomkins
Social networks: looking ahead. KDD (2008)
Christopher Olston, Benjamin Reed, Utkarsh Srivastava, Ravi Kumar, Andrew Tomkins
Pig latin: a not-so-foreign language for data processing. SIGMOD Conference (2008)
Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew Tomkins
Microscopic evolution of social networks. KDD (2008)
Ravi Kumar, Kevin J. Lang, Cameron Marlow, Andrew Tomkins
Efficient Discovery of Authoritative Resources. ICDE (2008)
Andrew Tomkins
Challenges in searching social media. SSM (2008)
Marcus Fontoura, Vanja Josifovski, Ravi Kumar, Christopher Olston, Andrew Tomkins, Sergei Vassilvitskii
Relaxation in text search using taxonomies. Proc. VLDB Endow. 1 (1) (2008)
Rosie Jones, Ravi Kumar, Bo Pang, Andrew Tomkins
Vanity fair: privacy in querylog bundles. CIKM (2008)
Lars Backstrom, Ravi Kumar, Cameron Marlow, Jasmine Novak, Andrew Tomkins
Preferential behavior in online groups. WSDM (2008)
Ravi Kumar, Andrew Tomkins, Erik Vee
Connectivity structure of bipartite graphs via the KNC-plot. WSDM (2008)
Raghu Ramakrishnan, Andrew Tomkins
Toward a PeopleWeb. Computer 40 (8) (2007)
Ravi Kumar, Jasmine Novak, Bo Pang, Andrew Tomkins
On anonymizing query logs via token-based hashing. WWW (2007)
Anirban Dasgupta, Arpita Ghosh, Ravi Kumar, Christopher Olston, Sandeep Pandey, Andrew Tomkins
The discoverability of the web. WWW (2007)
Amruta Joshi, Ravi Kumar, Benjamin Reed, Andrew Tomkins
Anchor-based proximity measures. WWW (2007)
Rosie Jones, Ravi Kumar, Bo Pang, Andrew Tomkins
"I know what you did last summer": query logs and user privacy. CIKM (2007)
Junghoo Cho, Andrew Tomkins
Guest Editors' Introduction: Social Media and Search. IEEE Internet Comput. 11 (6) (2007)
Micah Dubinko, Ravi Kumar, Joseph Magnani, Jasmine Novak, Prabhakar Raghavan, Andrew Tomkins
Visualizing tags over time. ACM Trans. Web 1 (2) (2007)
Micah Dubinko, Ravi Kumar, Joseph Magnani, Jasmine Novak, Prabhakar Raghavan, Andrew Tomkins
Visualizing tags over time. WWW (2006)
Deepayan Chakrabarti, Ravi Kumar, Andrew Tomkins
Evolutionary clustering. KDD (2006)
Ravi Kumar, Jasmine Novak, Andrew Tomkins
Structure and evolution of online social networks. KDD (2006)
Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopalan, Andrew Tomkins
Core algorithms in the CLEVER system. ACM Trans. Internet Techn. 6 (2) (2006)
Raghu Ramakrishnan, Andrew Tomkins, Ravi Kumar
Content, Metadata, and Behavioral Information: Directions for Yahoo! Research. IEEE Data Eng. Bull. 29 (4) (2006)
Ravi Kumar, Kunal Punera, Andrew Tomkins
Hierarchical topic segmentation of websites. KDD (2006)
Ravi Kumar, David Liben-Nowell, Andrew Tomkins
Navigating Low-Dimensional and Hierarchical Population Networks. ESA (2006)
Andrei Z. Broder, Marcus Fontoura, Vanja Josifovski, Ravi Kumar, Rajeev Motwani, Shubha U. Nabar, Rina Panigrahy, Andrew Tomkins, Ying Xu
Estimating corpus size via queries. CIKM (2006)
Ronald Fagin, Phokion G. Kolaitis, Ravi Kumar, Jasmine Novak, D. Sivakumar, Andrew Tomkins
Efficient Implementation of Large-Scale Multi-Structural Databases. VLDB (2005)
Anirban Dasgupta, Ravi Kumar, Prabhakar Raghavan, Andrew Tomkins
Variable latent semantic indexing. KDD (2005)
Ronald Fagin, Ramanathan V. Guha, Ravi Kumar, Jasmine Novak, D. Sivakumar, Andrew Tomkins
Multi-structural databases. PODS (2005)
Daniel Gruhl, Ramanathan V. Guha, Ravi Kumar, Jasmine Novak, Andrew Tomkins
The predictive power of online chatter. KDD (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andrew Tomkins