Erik Vee

According to our database, Erik Vee authored at least 50 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of two.

2023

New Tools for Peak Memory Scheduling.

Ce Jin, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang

CoRR, 2023

LayerNAS: Neural Architecture Search in Polynomial Complexity.

Yicheng Fan, Dana Alon, Jingyue Shen, Daiyi Peng, Keshav Kumar, Yun Long, Xin Wang, Fotis Iliopoulos, Da-Cheng Juan, Erik Vee

CoRR, 2023

SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation.

Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee

CoRR, 2023

SLaM: Student-Label Mixing for Distillation with Unlabeled Examples.

Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Active Distillation.

Cenk Baykal, Khoa Trinh, Fotis Iliopoulos, Gaurav Menghani, Erik Vee

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Caching with Reserves via Marking.

Sharat Ibrahimpur, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang

Proceedings of the 50th International Colloquium on Automata, Languages, and Programming, 2023

2022

Scheduling with Communication Delay in Near-Linear Time.

Quanquan C. Liu, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang

Proceedings of the 39th International Symposium on Theoretical Aspects of Computer Science, 2022

Learning-Augmented Weighted Paging.

Nikhil Bansal, Christian Coester, Ravi Kumar, Manish Purohit, Erik Vee

Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Weighted Distillation with Unlabeled Examples.

Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Caching with Reserves.

Sharat Ibrahimpur, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang

Proceedings of the Approximation, 2022

2020

Scale-Free Allocation, Amortized Convexity, and Myopic Weighted Paging.

Nikhil Bansal, Christian Coester, Ravi Kumar, Manish Purohit, Erik Vee

CoRR, 2020

Interleaved Caching with Access Graphs.

Ravi Kumar, Manish Purohit, Zoya Svitkina, Erik Vee

Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

2019

Efficient Rematerialization for Deep Networks.

Ravi Kumar, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Semi-Online Bipartite Matching.

Ravi Kumar, Manish Purohit, Aaron Schild, Zoya Svitkina, Erik Vee

Proceedings of the 10th Innovations in Theoretical Computer Science Conference, 2019

2018

Stream Similarity Mining.

Erik Vee

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

2016

An Algorithmic View of Voting.

Ronald Fagin, Ravi Kumar, Mohammad Mahdian, D. Sivakumar, Erik Vee

SIAM J. Discret. Math., 2016

2015

Traffic Shaping to Optimize Ad Delivery.

Deepayan Chakrabarti, Erik Vee

ACM Trans. Economics and Comput., 2015

Inverting a Steady-State.

Ravi Kumar, Andrew Tomkins, Sergei Vassilvitskii, Erik Vee

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

2012

Ad serving using a compact allocation plan.

Peiji Chen, Wenjing Ma, Srinath Mandalapu, Chandrashekhar Nagarajan, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Manfai Yu, Jason Y. Zien

Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

SHALE: an efficient algorithm for allocation of guaranteed display advertising.

Vijay Bharadwaj, Peiji Chen, Wenjing Ma, Chandrashekhar Nagarajan, John A. Tomlin, Sergei Vassilvitskii, Erik Vee, Jian Yang

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Inventory Allocation for Online Graphical Display Advertising using Multi-objective Optimization.

Jian Yang, Erik Vee, Sergei Vassilvitskii, John A. Tomlin, Jayavel Shanmugasundaram, Tasos Anastasakos, Oliver Kennedy

Proceedings of the ICORES 2012, 2012

2011

The Multiple Attribution Problem in Pay-Per-Conversion Advertising.

Patrick R. Jordan, Mohammad Mahdian, Sergei Vassilvitskii, Erik Vee

Proceedings of the Algorithmic Game Theory, 4th International Symposium, 2011

2010

Inventory Allocation for Online Graphical Display Advertising

Jian Yang, Erik Vee, Sergei Vassilvitskii, John A. Tomlin, Jayavel Shanmugasundaram, Tasos Anastasakos, Oliver Kennedy

CoRR, 2010

Floodlight illumination of infinite wedges.

Matthew Cary, Atri Rudra, Ashish Sabharwal, Erik Vee

Comput. Geom., 2010

Efficiently evaluating complex boolean expressions.

Marcus Fontoura, Suhas Sadanandan, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Srihari Venkatesan, Jason Y. Zien

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Forecasting high-dimensional data.

Deepak Agarwal, Datong Chen, Long-ji Lin, Jayavel Shanmugasundaram, Erik Vee

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Optimal online assignment with forecasts.

Erik Vee, Sergei Vassilvitskii, Jayavel Shanmugasundaram

Proceedings of the Proceedings 11th ACM Conference on Electronic Commerce (EC-2010), 2010

Balanced allocation with succinct representation.

Saeed Alaei, Ravi Kumar, Azarakhsh Malekian, Erik Vee

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Pricing guaranteed contracts in online display advertising.

Vijay Bharadwaj, Wenjing Ma, Michael Schwarz, Jayavel Shanmugasundaram, Erik Vee, Jack Xie, Jian Yang

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Stream Similarity Mining.

Erik Vee

Proceedings of the Encyclopedia of Database Systems, 2009

Indexing Boolean Expressions.

Steven Whang, Chad Brower, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Ramana Yerneni, Hector Garcia-Molina

Proc. VLDB Endow., 2009

Efficient Computation of Diverse Query Results.

Erik Vee, Jayavel Shanmugasundaram, Sihem Amer-Yahia

IEEE Data Eng. Bull., 2009

2008

Estimating statistical aggregates on probabilistic data streams.

T. S. Jayram, Andrew McGregor, S. Muthukrishnan, Erik Vee

ACM Trans. Database Syst., 2008

Scalable ranked publish/subscribe.

Ashwin Machanavajjhala, Erik Vee, Minos N. Garofalakis, Jayavel Shanmugasundaram

Proc. VLDB Endow., 2008

Efficient top-k processing over query-dependent functions.

Lin Guo, Sihem Amer-Yahia, Raghu Ramakrishnan, Jayavel Shanmugasundaram, Utkarsh Srivastava, Erik Vee

Proc. VLDB Endow., 2008

Connectivity structure of bipartite graphs via the KNC-plot.

Ravi Kumar, Andrew Tomkins, Erik Vee

Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Efficient bulk insertion into a distributed ordered table.

Adam Silberstein, Brian F. Cooper, Utkarsh Srivastava, Erik Vee, Ramana Yerneni, Raghu Ramakrishnan

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Efficient Computation of Diverse Query Results.

Erik Vee, Utkarsh Srivastava, Jayavel Shanmugasundaram, Prashant Bhat, Sihem Amer-Yahia

Proceedings of the 24th International Conference on Data Engineering, 2008

2007

Personalized Ad Delivery When Ads Fatigue: An Approximation Algorithm.

Zoë Abrams, Erik Vee

Proceedings of the Internet and Network Economics, Third International Workshop, 2007

Cost of Conciseness in Sponsored Search Auctions.

Zoë Abrams, Arpita Ghosh, Erik Vee

Proceedings of the Internet and Network Economics, Third International Workshop, 2007

Efficient aggregation algorithms for probabilistic data.

T. S. Jayram, Satyen Kale, Erik Vee

Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2007

2006

Comparing Partial Rankings.

Ronald Fagin, Ravi Kumar, Mohammad Mahdian, D. Sivakumar, Erik Vee

SIAM J. Discret. Math., 2006

Finding longest increasing and common subsequences in streaming data.

David Liben-Nowell, Erik Vee, An Zhu

J. Comb. Optim., 2006

Scalable leader election.

Valerie King, Jared Saia, Vishal Sanwalani, Erik Vee

Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2006

The containment problem for REAL conjunctive queries with inequalities.

T. S. Jayram, Phokion G. Kolaitis, Erik Vee

Proceedings of the Twenty-Fifth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2006

Towards Secure and Scalable Computation in Peer-to-Peer Networks.

Valerie King, Jared Saia, Vishal Sanwalani, Erik Vee

Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2006), 2006

2004

Comparing and Aggregating Rankings with Ties.

Ronald Fagin, Ravi Kumar, Mohammad Mahdian, D. Sivakumar, Erik Vee

Proceedings of the Twenty-third ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2004

2003

Time-space trade-off lower bounds for randomized computation of decision problems.

Paul Beame, Michael E. Saks, Xiaodong Sun, Erik Vee

J. ACM, 2003

2002

Time-space tradeoffs, multiparty communication complexity, and nearest-neighbor problems.

Paul Beame, Erik Vee

Proceedings of the Proceedings on 34th Annual ACM Symposium on Theory of Computing, 2002

2000

Super-Linear Time-Space Tradeoff Lower Bounds for Randomized Computation

Paul Beame, Michael E. Saks, Xiaodong Sun, Erik Vee

Electron. Colloquium Comput. Complex., 2000