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ORCIDMukund Sundararajan
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2020 – today
- 2023
[c40]Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang:
Multi-Task Differential Privacy Under Distribution Skew. ICML 2023: 17784-17807- [c39]Mukund Sundararajan, Walid Krichene:
Inflow, Outflow, and Reciprocity in Machine Learning. ICML 2023: 33195-33208 - [c38]Mihaela Curmei
, Walid Krichene, Li Zhang, Mukund Sundararajan:
Private Matrix Factorization with Public Item Features. RecSys 2023: 805-812 - [i27]Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Thakurta, Li Zhang:
Multi-Task Differential Privacy Under Distribution Skew. CoRR abs/2302.07975 (2023) - [i26]Sid Mittal, Vineet Gupta, Frederick Liu, Mukund Sundararajan:
Using Foundation Models to Detect Policy Violations with Minimal Supervision. CoRR abs/2306.06234 (2023) - [i25]Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan:
Private Matrix Factorization with Public Item Features. CoRR abs/2309.11516 (2023) - 2022
- [c37]Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar:
First is Better Than Last for Language Data Influence. NeurIPS 2022 - [i24]Mukund Sundararajan, Walid Krichene:
Reciprocity in Machine Learning. CoRR abs/2202.09480 (2022) - [i23]Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar:
First is Better Than Last for Training Data Influence. CoRR abs/2202.11844 (2022) - [i22]Arya Tafvizi, Besim Avci, Mukund Sundararajan:
Attributing AUC-ROC to Analyze Binary Classifier Performance. CoRR abs/2205.11781 (2022) - 2020
- [j13]Mukund Sundararajan, Qiqi Yan:
Robust mechanisms for risk-averse sellers. Games Econ. Behav. 124: 644-658 (2020) - [c36]Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan:
Attribution in Scale and Space. CVPR 2020: 9677-9686 - [c35]Mukund Sundararajan, Kedar Dhamdhere, Ashish Agarwal:
The Shapley Taylor Interaction Index. ICML 2020: 9259-9268 - [c34]Mukund Sundararajan, Amir Najmi:
The Many Shapley Values for Model Explanation. ICML 2020: 9269-9278 - [c33]Garima Pruthi, Frederick Liu, Satyen Kale, Mukund Sundararajan:
Estimating Training Data Influence by Tracing Gradient Descent. NeurIPS 2020 - [i21]Garima Pruthi, Frederick Liu, Mukund Sundararajan, Satyen Kale:
Estimating Training Data Influence by Tracking Gradient Descent. CoRR abs/2002.08484 (2020) - [i20]Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan:
Attribution in Scale and Space. CoRR abs/2004.03383 (2020) - [i19]Frederick Liu, Amir Najmi, Mukund Sundararajan:
The Penalty Imposed by Ablated Data Augmentation. CoRR abs/2006.04769 (2020)
2010 – 2019
- 2019
- [c32]Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan:
How Important is a Neuron. ICLR (Poster) 2019 - [c31]Mukund Sundararajan, Jinhua Xu, Ankur Taly, Rory Sayres, Amir Najmi:
Exploring Principled Visualizations for Deep Network Attributions. IUI Workshops 2019 - [i18]Ashish Agarwal, Kedar Dhamdhere, Mukund Sundararajan:
A New Interaction Index inspired by the Taylor Series. CoRR abs/1902.05622 (2019) - [i17]Mukund Sundararajan, Amir Najmi:
The many Shapley values for model explanation. CoRR abs/1908.08474 (2019) - 2018
- [j12]Shahar Dobzinski, Aranyak Mehta, Tim Roughgarden, Mukund Sundararajan:
Is Shapley cost sharing optimal? Games Econ. Behav. 108: 130-138 (2018) - [c30]Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
Did the Model Understand the Question? ACL (1) 2018: 1896-1906 - [c29]Matthias Ruhl, Mukund Sundararajan, Qiqi Yan:
The Cascading Analysts Algorithm. SIGMOD Conference 2018: 1083-1096 - [i16]Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
It was the training data pruning too! CoRR abs/1803.04579 (2018) - [i15]Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
Did the Model Understand the Question? CoRR abs/1805.05492 (2018) - [i14]Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan:
How Important Is a Neuron? CoRR abs/1805.12233 (2018) - [i13]Mukund Sundararajan, Ankur Taly:
A Note about: Local Explanation Methods for Deep Neural Networks lack Sensitivity to Parameter Values. CoRR abs/1806.04205 (2018) - 2017
- [c28]Mukund Sundararajan, Ankur Taly, Qiqi Yan:
Axiomatic Attribution for Deep Networks. ICML 2017: 3319-3328 - [c27]Kedar Dhamdhere, Kevin S. McCurley, Ralfi Nahmias, Mukund Sundararajan, Qiqi Yan:
Analyza: Exploring Data with Conversation. IUI 2017: 493-504 - [i12]Mukund Sundararajan, Ankur Taly, Qiqi Yan:
Axiomatic Attribution for Deep Networks. CoRR abs/1703.01365 (2017) - [i11]Matthias Ruhl, Mukund Sundararajan, Qiqi Yan:
Hierarchical Summarization of Metric Changes. CoRR abs/1703.07795 (2017) - [i10]Kedar Dhamdhere, Kevin S. McCurley, Mukund Sundararajan, Ankur Taly:
Abductive Matching in Question Answering. CoRR abs/1709.03036 (2017) - [i9]Mukund Sundararajan, Qiqi Yan:
A Simple and Efficient MapReduce Algorithm for Data Cube Materialization. CoRR abs/1709.10072 (2017) - 2016
- [j11]Mukund Sundararajan, Inbal Talgam-Cohen:
Prediction and Welfare in Ad Auctions. Theory Comput. Syst. 59(4): 664-682 (2016) - [j10]Mohammad Mahdian, Mukund Sundararajan:
Robust Mechanisms for Sponsored Search. EAI Endorsed Trans. Serious Games 3(10): e2 (2016) - [i8]Mukund Sundararajan, Ankur Taly, Qiqi Yan:
Gradients of Counterfactuals. CoRR abs/1611.02639 (2016) - 2014
- [j9]Krishnamurthy Iyer, Ramesh Johari, Mukund Sundararajan:
Mean Field Equilibria of Dynamic Auctions with Learning. Manag. Sci. 60(12): 2949-2970 (2014) - [c26]Mukund Sundararajan, Inbal Talgam-Cohen:
Prediction and Welfare in Ad Auctions. SAGT 2014: 267-278 - 2013
- [i7]Mukund Sundararajan, Inbal Talgam-Cohen:
Refine Predictions Ad Infinitum? CoRR abs/1302.6700 (2013) - 2012
- [j8]Arpita Ghosh, Tim Roughgarden, Mukund Sundararajan:
Universally Utility-maximizing Privacy Mechanisms. SIAM J. Comput. 41(6): 1673-1693 (2012) - [j7]Adam Barth, Benjamin I. P. Rubinstein, Mukund Sundararajan, John C. Mitchell, Dawn Song, Peter L. Bartlett:
A Learning-Based Approach to Reactive Security. IEEE Trans. Dependable Secur. Comput. 9(4): 482-493 (2012) - [j6]Shaddin Dughmi, Tim Roughgarden, Mukund Sundararajan:
Revenue Submodularity. Theory Comput. 8(1): 95-119 (2012) - [c25]Vahab S. Mirrokni, Sebastien Roch, Mukund Sundararajan:
On Fixed-Price Marketing for Goods with Positive Network Externalities. WINE 2012: 532-538 - 2011
- [j5]Krishnamurthy Iyer, Ramesh Johari, Mukund Sundararajan:
Mean field equilibria of dynamic auctions with learning. SIGecom Exch. 10(3): 10-14 (2011) - [c24]Krishnamurthy Iyer, Ramesh Johari, Mukund Sundararajan:
Mean field equilibria of dynamic auctions with learning: A dynamic revenue equivalence theorem. Allerton 2011: 1002-1003 - [c23]Yi Sun, Mukund Sundararajan:
Axiomatic attribution for multilinear functions. EC 2011: 177-178 - [c22]Krishnamurthy Iyer, Ramesh Johari, Mukund Sundararajan:
Mean field equilibria of dynamic auctions with learning. EC 2011: 339-340 - [i6]Yi Sun, Mukund Sundararajan:
Axiomatic Attribution for Multilinear Functions. CoRR abs/1102.0989 (2011) - 2010
- [c21]C. Lakshmi, M. Ponnavaikko, Mukund Sundararajan:
Improved Kernel Common Vector Method for Face Recognition Varying in Background Conditions. CompIMAGE 2010: 175-186 - [c20]Adam Barth, Benjamin I. P. Rubinstein, Mukund Sundararajan, John C. Mitchell, Dawn Song, Peter L. Bartlett:
A Learning-Based Approach to Reactive Security. Financial Cryptography 2010: 192-206 - [c19]Mangesh Gupte, Mukund Sundararajan:
Universally optimal privacy mechanisms for minimax agents. PODS 2010: 135-146 - [c18]Mukund Sundararajan, Qiqi Yan:
Robust mechanisms for risk-averse sellers. EC 2010: 139-148 - [i5]Mangesh Gupte, Mukund Sundararajan:
Universally Optimal Privacy Mechanisms for Minimax Agents. CoRR abs/1001.2767 (2010) - [i4]Mukund Sundararajan, Qiqi Yan:
Robust Mechanisms for Risk-Averse Sellers. CoRR abs/1002.2477 (2010)
2000 – 2009
- 2009
- [b1]Mukund Sundararajan:
Trade-offs in cost sharing. Stanford University, USA, 2009 - [j4]Aranyak Mehta, Tim Roughgarden, Mukund Sundararajan:
Beyond Moulin mechanisms. Games Econ. Behav. 67(1): 125-155 (2009) - [j3]Tim Roughgarden, Mukund Sundararajan:
Quantifying inefficiency in cost-sharing mechanisms. J. ACM 56(4): 23:1-23:33 (2009) - [j2]Mohammad S. Obaidat, Mukund Sundararajan:
New enhancements to the SOCKS communication network security protocol: Schemes and performance evaluation. J. Syst. Softw. 82(12): 1941-1949 (2009) - [c17]Shaddin Dughmi, Tim Roughgarden, Mukund Sundararajan:
Revenue Submodularity. AMMA 2009: 89-91 - [c16]Shaddin Dughmi, Tim Roughgarden, Mukund Sundararajan:
Revenue submodularity. EC 2009: 243-252 - [c15]Arpita Ghosh, Tim Roughgarden, Mukund Sundararajan:
Universally utility-maximizing privacy mechanisms. STOC 2009: 351-360 - [i3]Adam Barth, Benjamin I. P. Rubinstein, Mukund Sundararajan, John C. Mitchell, Dawn Xiaodong Song, Peter L. Bartlett:
A Learning-Based Approach to Reactive Security. CoRR abs/0912.1155 (2009) - 2008
- [c14]Jason Auerbach, Joel Galenson, Mukund Sundararajan:
An empirical analysis of return on investment maximization in sponsored search auctions. AdKDD@KDD 2008: 1-9 - [c13]Shahar Dobzinski, Aranyak Mehta, Tim Roughgarden, Mukund Sundararajan:
Is Shapley Cost Sharing Optimal? SAGT 2008: 327-336 - [c12]Mukund Sundararajan, Mohammad S. Obaidat:
New Techniques to Enhance the Capabilities of the Socks Network Security Protocol. SECRYPT 2008: 197-201 - [c11]Shahar Dobzinski, Mukund Sundararajan:
On characterizations of truthful mechanisms for combinatorial auctions and scheduling. EC 2008: 38-47 - [c10]Jason D. Hartline, Vahab S. Mirrokni, Mukund Sundararajan:
Optimal marketing strategies over social networks. WWW 2008: 189-198 - [c9]John C. Mitchell, Arnab Roy, Mukund Sundararajan:
An Automated Approach for Proving PCL Invariants. SecReT@LICS/CSF 2008: 93-113 - [i2]Arpita Ghosh, Tim Roughgarden, Mukund Sundararajan:
Universally Utility-Maximizing Privacy Mechanisms. CoRR abs/0811.2841 (2008) - 2007
- [j1]Samuel Ieong, Mukund Sundararajan, Anthony Man-Cho So:
Mechanism design for stochastic optimization problems. SIGecom Exch. 7(1): 52-54 (2007) - [c8]Tim Roughgarden, Mukund Sundararajan:
Optimal Efficiency Guarantees for Network Design Mechanisms. IPCO 2007: 469-483 - [c7]Aranyak Mehta, Tim Roughgarden, Mukund Sundararajan:
Beyond moulin mechanisms. EC 2007: 1-10 - [c6]Samuel Ieong, Anthony Man-Cho So, Mukund Sundararajan:
Stochastic Mechanism Design. WINE 2007: 269-280 - [c5]Arpita Ghosh, Hamid Nazerzadeh, Mukund Sundararajan:
Computing Optimal Bundles for Sponsored Search. WINE 2007: 576-583 - 2006
- [c4]Tim Roughgarden, Mukund Sundararajan:
New trade-offs in cost-sharing mechanisms. STOC 2006: 79-88 - [c3]Shuchi Chawla, Tim Roughgarden, Mukund Sundararajan:
Optimal Cost-Sharing Mechanisms for Steiner Forest Problems. WINE 2006: 112-123 - [i1]Tim Roughgarden, Mukund Sundararajan:
Approximately Efficient Cost-Sharing Mechanisms. CoRR abs/cs/0606127 (2006) - 2005
- [c2]Changhua He, Mukund Sundararajan, Anupam Datta, Ante Derek, John C. Mitchell:
A modular correctness proof of IEEE 802.11i and TLS. CCS 2005: 2-15 - 2004
- [c1]Mukund Sundararajan, Michael Brudno, Kerrin S. Small, Arend Sidow, Serafim Batzoglou:
Chaining Algorithms for Alignment of Draft Sequence. WABI 2004: 326-337
Coauthor Index
aka: Tim Roughgarden
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