Erik Vee

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 21

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Publications

Sharat Ibrahimpur, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang
Efficient Caching with Reserves via Marking. CoRR (2023)
Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee
SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation. CoRR (2023)
Sharat Ibrahimpur, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang
Efficient Caching with Reserves via Marking. ICALP (2023)
Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples. NeurIPS (2023)
Cenk Baykal, Khoa Trinh, Fotis Iliopoulos, Gaurav Menghani, Erik Vee
Robust Active Distillation. ICLR (2023)
Yicheng Fan, Dana Alon, Jingyue Shen, Daiyi Peng, Keshav Kumar, Yun Long, Xin Wang, Fotis Iliopoulos, Da-Cheng Juan, Erik Vee
LayerNAS: Neural Architecture Search in Polynomial Complexity. CoRR (2023)
Ce Jin, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang
New Tools for Peak Memory Scheduling. CoRR (2023)
Quanquan C. Liu, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang
Scheduling with Communication Delay in Near-Linear Time. STACS (2022)
Sharat Ibrahimpur, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang
Caching with Reserves. APPROX/RANDOM (2022)
Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee
Weighted Distillation with Unlabeled Examples. NeurIPS (2022)
Sharat Ibrahimpur, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang
Caching with Reserves. CoRR (2022)
Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee
Weighted Distillation with Unlabeled Examples. CoRR (2022)
Cenk Baykal, Khoa Trinh, Fotis Iliopoulos, Gaurav Menghani, Erik Vee
Robust Active Distillation. CoRR (2022)
Nikhil Bansal, Christian Coester, Ravi Kumar, Manish Purohit, Erik Vee
Learning-Augmented Weighted Paging. SODA (2022)
Quanquan C. Liu, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang
Scheduling with Communication Delay in Near-Linear Time. CoRR (2021)
Ravi Kumar, Manish Purohit, Zoya Svitkina, Erik Vee
Interleaved Caching with Access Graphs. SODA (2020)
Nikhil Bansal, Christian Coester, Ravi Kumar, Manish Purohit, Erik Vee
Scale-Free Allocation, Amortized Convexity, and Myopic Weighted Paging. CoRR (2020)
Ravi Kumar, Manish Purohit, Aaron Schild, Zoya Svitkina, Erik Vee
Semi-Online Bipartite Matching. ITCS (2019)
Ravi Kumar, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang
Efficient Rematerialization for Deep Networks. NeurIPS (2019)
Ravi Kumar, Manish Purohit, Aaron Schild, Zoya Svitkina, Erik Vee
Semi-Online Bipartite Matching. CoRR (2018)
Ronald Fagin, Ravi Kumar, Mohammad Mahdian, D. Sivakumar, Erik Vee
An Algorithmic View of Voting. SIAM J. Discret. Math. 30 (4) (2016)
Ravi Kumar, Andrew Tomkins, Sergei Vassilvitskii, Erik Vee
Inverting a Steady-State. WSDM (2015)
Deepayan Chakrabarti, Erik Vee
Traffic Shaping to Optimize Ad Delivery. ACM Trans. Economics and Comput. 3 (2) (2015)
Deepayan Chakrabarti, Erik Vee
Traffic shaping to optimize ad delivery. EC (2012)
Vijay Bharadwaj, Peiji Chen, Wenjing Ma, Chandrashekhar Nagarajan, John A. Tomlin, Sergei Vassilvitskii, Erik Vee, Jian Yang
SHALE: an efficient algorithm for allocation of guaranteed display advertising. KDD (2012)
Peiji Chen, Wenjing Ma, Srinath Mandalapu, Chandrashekhar Nagarajan, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Manfai Yu, Jason Y. Zien
Ad Serving Using a Compact Allocation Plan CoRR (2012)
Vijay Bharadwaj, Peiji Chen, Wenjing Ma, Chandrashekhar Nagarajan, John A. Tomlin, Sergei Vassilvitskii, Erik Vee, Jian Yang
SHALE: An Efficient Algorithm for Allocation of Guaranteed Display Advertising CoRR (2012)
Jian Yang, Erik Vee, Sergei Vassilvitskii, John A. Tomlin, Jayavel Shanmugasundaram, Tasos Anastasakos, Oliver Kennedy
Inventory Allocation for Online Graphical Display Advertising using Multi-objective Optimization. ICORES (2012)
Peiji Chen, Wenjing Ma, Srinath Mandalapu, Chandrashekhar Nagarajan, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Manfai Yu, Jason Y. Zien
Ad serving using a compact allocation plan. EC (2012)
Patrick R. Jordan, Mohammad Mahdian, Sergei Vassilvitskii, Erik Vee
The Multiple Attribution Problem in Pay-Per-Conversion Advertising. SAGT (2011)
Jian Yang, Erik Vee, Sergei Vassilvitskii, John A. Tomlin, Jayavel Shanmugasundaram, Tasos Anastasakos, Oliver Kennedy
Inventory Allocation for Online Graphical Display Advertising CoRR (2010)
Erik Vee, Sergei Vassilvitskii, Jayavel Shanmugasundaram
Optimal online assignment with forecasts. EC (2010)
Matthew Cary, Atri Rudra, Ashish Sabharwal, Erik Vee
Floodlight illumination of infinite wedges. Comput. Geom. 43 (1) (2010)
Saeed Alaei, Ravi Kumar, Azarakhsh Malekian, Erik Vee
Balanced allocation with succinct representation. KDD (2010)
Marcus Fontoura, Suhas Sadanandan, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Srihari Venkatesan, Jason Y. Zien
Efficiently evaluating complex boolean expressions. SIGMOD Conference (2010)
Vijay Bharadwaj, Wenjing Ma, Michael Schwarz, Jayavel Shanmugasundaram, Erik Vee, Jack Xie, Jian Yang
Pricing guaranteed contracts in online display advertising. CIKM (2010)
Deepak Agarwal, Datong Chen, Long-ji Lin, Jayavel Shanmugasundaram, Erik Vee
Forecasting high-dimensional data. SIGMOD Conference (2010)
Steven Whang, Chad Brower, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Ramana Yerneni, Hector Garcia-Molina
Indexing Boolean Expressions. Proc. VLDB Endow. 2 (1) (2009)
Erik Vee, Jayavel Shanmugasundaram, Sihem Amer-Yahia
Efficient Computation of Diverse Query Results. IEEE Data Eng. Bull. 32 (4) (2009)
Lin Guo, Sihem Amer-Yahia, Raghu Ramakrishnan, Jayavel Shanmugasundaram, Utkarsh Srivastava, Erik Vee
Efficient top-k processing over query-dependent functions. Proc. VLDB Endow. 1 (1) (2008)
Ashwin Machanavajjhala, Erik Vee, Minos N. Garofalakis, Jayavel Shanmugasundaram
Scalable ranked publish/subscribe. Proc. VLDB Endow. 1 (1) (2008)
Ravi Kumar, Andrew Tomkins, Erik Vee
Connectivity structure of bipartite graphs via the KNC-plot. WSDM (2008)
T. S. Jayram, Andrew McGregor, S. Muthukrishnan, Erik Vee
Estimating statistical aggregates on probabilistic data streams. ACM Trans. Database Syst. 33 (4) (2008)
Erik Vee, Utkarsh Srivastava, Jayavel Shanmugasundaram, Prashant Bhat, Sihem Amer-Yahia
Efficient Computation of Diverse Query Results. ICDE (2008)
Adam Silberstein, Brian F. Cooper, Utkarsh Srivastava, Erik Vee, Ramana Yerneni, Raghu Ramakrishnan
Efficient bulk insertion into a distributed ordered table. SIGMOD Conference (2008)
Zoë Abrams, Erik Vee
Personalized Ad Delivery When Ads Fatigue: An Approximation Algorithm. WINE (2007)
T. S. Jayram, Andrew McGregor, S. Muthukrishnan, Erik Vee
Estimating statistical aggregates on probabilistic data streams. PODS (2007)
Zoë Abrams, Arpita Ghosh, Erik Vee
Cost of Conciseness in Sponsored Search Auctions. WINE (2007)
T. S. Jayram, Satyen Kale, Erik Vee
Efficient aggregation algorithms for probabilistic data. SODA (2007)
Valerie King, Jared Saia, Vishal Sanwalani, Erik Vee
Towards Secure and Scalable Computation in Peer-to-Peer Networks. FOCS (2006)
Valerie King, Jared Saia, Vishal Sanwalani, Erik Vee
Scalable leader election. SODA (2006)
David Liben-Nowell, Erik Vee, An Zhu
Finding longest increasing and common subsequences in streaming data. J. Comb. Optim. 11 (2) (2006)
Ronald Fagin, Ravi Kumar, Mohammad Mahdian, D. Sivakumar, Erik Vee
Comparing Partial Rankings. SIAM J. Discret. Math. 20 (3) (2006)
T. S. Jayram, Phokion G. Kolaitis, Erik Vee
The containment problem for REAL conjunctive queries with inequalities. PODS (2006)
David Liben-Nowell, Erik Vee, An Zhu
Finding Longest Increasing and Common Subsequences in Streaming Data. COCOON (2005)
Ronald Fagin, Ravi Kumar, Mohammad Mahdian, D. Sivakumar, Erik Vee
Comparing and Aggregating Rankings with Ties. PODS (2004)
Paul Beame, Michael E. Saks, Xiaodong Sun, Erik Vee
Time-space trade-off lower bounds for randomized computation of decision problems. J. ACM 50 (2) (2003)
Paul Beame, Erik Vee
Time-Space Tradeoffs, Multiparty Communication Complexity, and Nearest-Neighbor Problems. Computational Complexity Conference (2002)
Paul Beame, Erik Vee
Time-space tradeoffs, multiparty communication complexity, and nearest-neighbor problems. STOC (2002)
Paul Beame, Michael E. Saks, Xiaodong Sun, Erik Vee
Super-linear time-space tradeoff lower bounds for randomized computation. FOCS (2000)
Paul Beame, Michael E. Saks, Xiaodong Sun, Erik Vee
Super-Linear Time-Space Tradeoff Lower Bounds for Randomized Computation Electron. Colloquium Comput. Complex. 7 (25) (2000)