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ORCIDErik Vee
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2020 – today
- 2024
[i15]Noel Loo, Fotis Iliopoulos, Wei Hu, Erik Vee:
Linear Projections of Teacher Embeddings for Few-Class Distillation. CoRR abs/2409.20449 (2024)- 2023
- [c36]Sharat Ibrahimpur, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang:
Efficient Caching with Reserves via Marking. ICALP 2023: 80:1-80:20 - [c35]Cenk Baykal, Khoa Trinh, Fotis Iliopoulos, Gaurav Menghani, Erik Vee:
Robust Active Distillation. ICLR 2023 - [c34]Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee:
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples. NeurIPS 2023 - [i14]Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee:
SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation. CoRR abs/2302.03806 (2023) - [i13]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 abs/2304.11517 (2023) - [i12]Sharat Ibrahimpur
, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang:
Efficient Caching with Reserves via Marking. CoRR abs/2305.02508 (2023) - [i11]Ce Jin, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang:
New Tools for Peak Memory Scheduling. CoRR abs/2312.13526 (2023) - 2022
- [c33]Sharat Ibrahimpur, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang:
Caching with Reserves. APPROX/RANDOM 2022: 52:1-52:16 - [c32]Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee:
Weighted Distillation with Unlabeled Examples. NeurIPS 2022 - [c31]Nikhil Bansal, Christian Coester, Ravi Kumar, Manish Purohit, Erik Vee:
Learning-Augmented Weighted Paging. SODA 2022: 67-89 - [c30]Quanquan C. Liu, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang:
Scheduling with Communication Delay in Near-Linear Time. STACS 2022: 47:1-47:23 - [i10]Sharat Ibrahimpur, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang:
Caching with Reserves. CoRR abs/2207.05975 (2022) - [i9]Cenk Baykal, Khoa Trinh, Fotis Iliopoulos, Gaurav Menghani, Erik Vee:
Robust Active Distillation. CoRR abs/2210.01213 (2022) - [i8]Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee:
Weighted Distillation with Unlabeled Examples. CoRR abs/2210.06711 (2022) - 2021
- [i7]Quanquan C. Liu, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang:
Scheduling with Communication Delay in Near-Linear Time. CoRR abs/2108.02770 (2021) - 2020
- [c29]Ravi Kumar, Manish Purohit, Zoya Svitkina, Erik Vee:
Interleaved Caching with Access Graphs. SODA 2020: 1846-1858 - [i6]Nikhil Bansal, Christian Coester, Ravi Kumar, Manish Purohit, Erik Vee:
Scale-Free Allocation, Amortized Convexity, and Myopic Weighted Paging. CoRR abs/2011.09076 (2020)
2010 – 2019
- 2019
- [c28]Ravi Kumar, Manish Purohit, Aaron Schild, Zoya Svitkina, Erik Vee:
Semi-Online Bipartite Matching. ITCS 2019: 50:1-50:20 - [c27]Ravi Kumar, Manish Purohit, Zoya Svitkina, Erik Vee, Joshua R. Wang:
Efficient Rematerialization for Deep Networks. NeurIPS 2019: 15146-15155 - 2018
- [r2]Erik Vee:
Stream Similarity Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - [i5]Ravi Kumar, Manish Purohit, Aaron Schild, Zoya Svitkina, Erik Vee:
Semi-Online Bipartite Matching. CoRR abs/1812.00134 (2018) - 2016
- [j11]Ronald Fagin, Ravi Kumar, Mohammad Mahdian, D. Sivakumar, Erik Vee:
An Algorithmic View of Voting. SIAM J. Discret. Math. 30(4): 1978-1996 (2016) - 2015
- [j10]Deepayan Chakrabarti, Erik Vee:
Traffic Shaping to Optimize Ad Delivery. ACM Trans. Economics and Comput. 3(2): 11:1-11:20 (2015) - [c26]Ravi Kumar, Andrew Tomkins, Sergei Vassilvitskii, Erik Vee:
Inverting a Steady-State. WSDM 2015: 359-368 - 2012
- [c25]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: 293-304 - [c24]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: 1195-1203 - [c23]Deepayan Chakrabarti, Erik Vee:
Traffic shaping to optimize ad delivery. EC 2012: 302-318 - [c22]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: 319-336 - [i4]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 abs/1203.3593 (2012) - [i3]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 abs/1203.3619 (2012) - 2011
- [c21]Patrick R. Jordan, Mohammad Mahdian, Sergei Vassilvitskii, Erik Vee:
The Multiple Attribution Problem in Pay-Per-Conversion Advertising. SAGT 2011: 31-43 - 2010
- [j9]Matthew Cary, Atri Rudra, Ashish Sabharwal, Erik Vee:
Floodlight illumination of infinite wedges. Comput. Geom. 43(1): 23-34 (2010) - [c20]Vijay Bharadwaj, Wenjing Ma, Michael Schwarz, Jayavel Shanmugasundaram, Erik Vee, Jack Xie, Jian Yang:
Pricing guaranteed contracts in online display advertising. CIKM 2010: 399-408 - [c19]Saeed Alaei, Ravi Kumar, Azarakhsh Malekian, Erik Vee:
Balanced allocation with succinct representation. KDD 2010: 523-532 - [c18]Erik Vee, Sergei Vassilvitskii, Jayavel Shanmugasundaram:
Optimal online assignment with forecasts. EC 2010: 109-118 - [c17]Marcus Fontoura, Suhas Sadanandan, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Srihari Venkatesan, Jason Y. Zien:
Efficiently evaluating complex boolean expressions. SIGMOD Conference 2010: 3-14 - [c16]Deepak Agarwal, Datong Chen, Long-ji Lin, Jayavel Shanmugasundaram, Erik Vee:
Forecasting high-dimensional data. SIGMOD Conference 2010: 1003-1012 - [i2]Jian Yang, Erik Vee, Sergei Vassilvitskii, John A. Tomlin, Jayavel Shanmugasundaram, Tasos Anastasakos, Oliver Kennedy:
Inventory Allocation for Online Graphical Display Advertising. CoRR abs/1008.3551 (2010)
2000 – 2009
- 2009
- [j8]Erik Vee, Jayavel Shanmugasundaram, Sihem Amer-Yahia:
Efficient Computation of Diverse Query Results. IEEE Data Eng. Bull. 32(4): 57-64 (2009) - [j7]Steven Whang, Chad Brower, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Ramana Yerneni, Hector Garcia-Molina:
Indexing Boolean Expressions. Proc. VLDB Endow. 2(1): 37-48 (2009) - [r1]Erik Vee:
Stream Similarity Mining. Encyclopedia of Database Systems 2009: 2842-2847 - 2008
- [j6]Ashwin Machanavajjhala, Erik Vee, Minos N. Garofalakis, Jayavel Shanmugasundaram:
Scalable ranked publish/subscribe. Proc. VLDB Endow. 1(1): 451-462 (2008) - [j5]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): 1044-1055 (2008) - [j4]T. S. Jayram, Andrew McGregor, S. Muthukrishnan, Erik Vee:
Estimating statistical aggregates on probabilistic data streams. ACM Trans. Database Syst. 33(4): 26:1-26:30 (2008) - [c15]Erik Vee, Utkarsh Srivastava, Jayavel Shanmugasundaram, Prashant Bhat, Sihem Amer-Yahia:
Efficient Computation of Diverse Query Results. ICDE 2008: 228-236 - [c14]Adam Silberstein, Brian F. Cooper, Utkarsh Srivastava, Erik Vee, Ramana Yerneni, Raghu Ramakrishnan:
Efficient bulk insertion into a distributed ordered table. SIGMOD Conference 2008: 765-778 - [c13]Ravi Kumar, Andrew Tomkins, Erik Vee:
Connectivity structure of bipartite graphs via the KNC-plot. WSDM 2008: 129-138 - 2007
- [c12]T. S. Jayram, Andrew McGregor, S. Muthukrishnan, Erik Vee:
Estimating statistical aggregates on probabilistic data streams. PODS 2007: 243-252 - [c11]T. S. Jayram, Satyen Kale, Erik Vee:
Efficient aggregation algorithms for probabilistic data. SODA 2007: 346-355 - [c10]Zoë Abrams, Arpita Ghosh, Erik Vee:
Cost of Conciseness in Sponsored Search Auctions. WINE 2007: 326-334 - [c9]Zoë Abrams, Erik Vee:
Personalized Ad Delivery When Ads Fatigue: An Approximation Algorithm. WINE 2007: 535-540 - 2006
- [j3]David Liben-Nowell, Erik Vee, An Zhu:
Finding longest increasing and common subsequences in streaming data. J. Comb. Optim. 11(2): 155-175 (2006) - [j2]Ronald Fagin, Ravi Kumar, Mohammad Mahdian, D. Sivakumar, Erik Vee:
Comparing Partial Rankings. SIAM J. Discret. Math. 20(3): 628-648 (2006) - [c8]Valerie King, Jared Saia, Vishal Sanwalani, Erik Vee:
Towards Secure and Scalable Computation in Peer-to-Peer Networks. FOCS 2006: 87-98 - [c7]T. S. Jayram, Phokion G. Kolaitis, Erik Vee:
The containment problem for REAL conjunctive queries with inequalities. PODS 2006: 80-89 - [c6]Valerie King, Jared Saia, Vishal Sanwalani, Erik Vee:
Scalable leader election. SODA 2006: 990-999 - 2005
- [c5]David Liben-Nowell, Erik Vee, An Zhu:
Finding Longest Increasing and Common Subsequences in Streaming Data. COCOON 2005: 263-272 - 2004
- [c4]Ronald Fagin, Ravi Kumar, Mohammad Mahdian, D. Sivakumar, Erik Vee:
Comparing and Aggregating Rankings with Ties. PODS 2004: 47-58 - 2003
- [j1]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): 154-195 (2003) - 2002
- [c3]Paul Beame, Erik Vee:
Time-Space Tradeoffs, Multiparty Communication Complexity, and Nearest-Neighbor Problems. CCC 2002: 18 - [c2]Paul Beame, Erik Vee:
Time-space tradeoffs, multiparty communication complexity, and nearest-neighbor problems. STOC 2002: 688-697 - 2000
- [c1]Paul Beame, Michael E. Saks, Xiaodong Sun, Erik Vee:
Super-linear time-space tradeoff lower bounds for randomized computation. FOCS 2000: 169-179 - [i1]Paul Beame, Michael E. Saks, Xiaodong Sun, Erik Vee:
Super-Linear Time-Space Tradeoff Lower Bounds for Randomized Computation. Electron. Colloquium Comput. Complex. TR00 (2000)
Coauthor Index
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last updated on 2024-10-22 20:16 CEST by the dblp team
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