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2020 – today
- 2022
[c73]Kiran Koshy Thekumparampil, Niao He, Sewoong Oh:
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization. AISTATS 2022: 4281-4308- [c72]Xiyang Liu, Weihao Kong, Sewoong Oh:
Differential privacy and robust statistics in high dimensions. COLT 2022: 1167-1246 - [c71]Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai:
MAML and ANIL Provably Learn Representations. ICML 2022: 4238-4310 - [c70]Melih Yilmaz, William Fondrie, Wout Bittremieux, Sewoong Oh, William S. Noble:
De novo mass spectrometry peptide sequencing with a transformer model. ICML 2022: 25514-25522 - [i74]Kiran Koshy Thekumparampil, Niao He, Sewoong Oh:
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization. CoRR abs/2201.07427 (2022) - [i73]Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai:
MAML and ANIL Provably Learn Representations. CoRR abs/2202.03483 (2022) - [i72]Shuaiqi Wang, Jonathan Hayase, Giulia Fanti, Sewoong Oh:
Towards a Defense against Backdoor Attacks in Continual Federated Learning. CoRR abs/2205.11736 (2022) - [i71]Xiyang Liu, Weihao Kong, Prateek Jain, Sewoong Oh:
DP-PCA: Statistically Optimal and Differentially Private PCA. CoRR abs/2205.13709 (2022) - [i70]Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He:
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization. CoRR abs/2206.00363 (2022) - [i69]Thao Nguyen, Gabriel Ilharco, Mitchell Wortsman, Sewoong Oh, Ludwig Schmidt:
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP. CoRR abs/2208.05516 (2022) - 2021
- [c69]Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh:
Defense against backdoor attacks via robust covariance estimation. ICML 2021: 4129-4139 - [c68]Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath:
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning. ICML 2021: 7368-7378 - [c67]Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath:
Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding. ISIT 2021: 1088-1093 - [c66]Xiyang Liu, Weihao Kong, Sham M. Kakade, Sewoong Oh:
Robust and differentially private mean estimation. NeurIPS 2021: 3887-3901 - [c65]Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaïd Harchaoui:
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals. NeurIPS 2021: 12930-12942 - [c64]Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh:
Statistically and Computationally Efficient Linear Meta-representation Learning. NeurIPS 2021: 18487-18500 - [c63]Jinwoo Jeon, Jaechang Kim, Kangwook Lee, Sewoong Oh, Jungseul Ok:
Gradient Inversion with Generative Image Prior. NeurIPS 2021: 29898-29908 - [i68]Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath:
Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding. CoRR abs/2102.01671 (2021) - [i67]Xingyu Wang, Sewoong Oh, Chang-Han Rhee:
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise. CoRR abs/2102.04297 (2021) - [i66]Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh:
Efficient Algorithms for Federated Saddle Point Optimization. CoRR abs/2102.06333 (2021) - [i65]Xiyang Liu, Weihao Kong, Sham M. Kakade, Sewoong Oh:
Robust and Differentially Private Mean Estimation. CoRR abs/2102.09159 (2021) - [i64]Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh:
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics. CoRR abs/2104.11315 (2021) - [i63]Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh:
Sample Efficient Linear Meta-Learning by Alternating Minimization. CoRR abs/2105.08306 (2021) - [i62]Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaïd Harchaoui:
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral. CoRR abs/2106.07898 (2021) - [i61]Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh:
Reducing the Communication Cost of Federated Learning through Multistage Optimization. CoRR abs/2108.06869 (2021) - [i60]Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath:
KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning. CoRR abs/2108.12920 (2021) - [i59]Jinwoo Jeon, Jaechang Kim, Kangwook Lee, Sewoong Oh, Jungseul Ok:
Gradient Inversion with Generative Image Prior. CoRR abs/2110.14962 (2021) - [i58]Xiyang Liu, Weihao Kong, Sewoong Oh:
Differential privacy and robust statistics in high dimensions. CoRR abs/2111.06578 (2021) - [i57]Sewoong Oh, Soumik Pal, Raghav Somani, Raghav Tripathi:
Gradient flows on graphons: existence, convergence, continuity equations. CoRR abs/2111.09459 (2021) - 2020
- [j27]Richard G. Baraniuk, Alex Dimakis
, Negar Kiyavash, Sewoong Oh, Rebecca Willett:
Guest Editorial. IEEE J. Sel. Areas Inf. Theory 1(1): 4 (2020) - [j26]Hyeji Kim, Sewoong Oh, Pramod Viswanath:
Physical Layer Communication via Deep Learning. IEEE J. Sel. Areas Inf. Theory 1(1): 5-18 (2020) - [j25]Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Deepcode: Feedback Codes via Deep Learning. IEEE J. Sel. Areas Inf. Theory 1(1): 194-206 (2020) - [j24]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks. IEEE J. Sel. Areas Inf. Theory 1(1): 207-216 (2020) - [j23]Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh:
PacGAN: The Power of Two Samples in Generative Adversarial Networks. IEEE J. Sel. Areas Inf. Theory 1(1): 324-335 (2020) - [j22]Weizhao Tang, Weina Wang, Giulia Fanti, Sewoong Oh:
Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks. Proc. ACM Meas. Anal. Comput. Syst. 4(2): 29:1-29:39 (2020) - [c62]Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath:
Learning in Gated Neural Networks. AISTATS 2020: 3338-3348 - [c61]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sewoong Oh, Sreeram Kannan, Pramod Viswanath:
Feedback Turbo Autoencoder. ICASSP 2020: 8559-8563 - [c60]Weihao Kong, Raghav Somani, Zhao Song, Sham M. Kakade, Sewoong Oh:
Meta-learning for Mixed Linear Regression. ICML 2020: 5394-5404 - [c59]Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh:
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs. ICML 2020: 6127-6139 - [c58]Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee:
Optimal transport mapping via input convex neural networks. ICML 2020: 6672-6681 - [c57]Weihao Kong, Raghav Somani, Sham M. Kakade, Sewoong Oh:
Robust Meta-learning for Mixed Linear Regression with Small Batches. NeurIPS 2020 - [c56]Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh:
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method. NeurIPS 2020 - [c55]Weizhao Tang, Weina Wang, Giulia Fanti, Sewoong Oh:
Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks. SIGMETRICS (Abstracts) 2020: 81-82 - [c54]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Joint Channel Coding and Modulation via Deep Learning. SPAWC 2020: 1-5 - [i56]Weihao Kong, Raghav Somani, Zhao Song, Sham M. Kakade, Sewoong Oh:
Meta-learning for mixed linear regression. CoRR abs/2002.08936 (2020) - [i55]Weihao Kong, Raghav Somani, Sham M. Kakade, Sewoong Oh:
Robust Meta-learning for Mixed Linear Regression with Small Batches. CoRR abs/2006.09702 (2020) - [i54]Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Deepcode and Modulo-SK are Designed for Different Settings. CoRR abs/2008.07997 (2020) - [i53]Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh:
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method. CoRR abs/2010.01848 (2020)
2010 – 2019
- 2019
- [j21]Ashish Khetan, Sewoong Oh:
Spectrum Estimation from a Few Entries. J. Mach. Learn. Res. 20: 21:1-21:55 (2019) - [c53]Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi:
Iterative Bayesian Learning for Crowdsourced Regression. AISTATS 2019: 1486-1495 - [c52]Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath:
Learning One-hidden-layer Neural Networks under General Input Distributions. AISTATS 2019: 1950-1959 - [c51]Giulia Fanti, Leonid Kogan, Sewoong Oh, Kathleen Ruan, Pramod Viswanath, Gerui Wang:
Compounding of Wealth in Proof-of-Stake Cryptocurrencies. Financial Cryptography 2019: 42-61 - [c50]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks. ICC 2019: 1-7 - [c49]Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh:
Rate Distortion For Model Compression: From Theory To Practice. ICML 2019: 2102-2111 - [c48]Ashok Vardhan Makkuva, Pramod Viswanath, Sreeram Kannan, Sewoong Oh:
Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms. ICML 2019: 4304-4313 - [c47]Giulia Fanti, Jiantao Jiao, Ashok Vardhan Makkuva, Sewoong Oh, Ranvir Rana, Pramod Viswanath:
Barracuda: The Power of ℓ-polling in Proof-of-Stake Blockchains. MobiHoc 2019: 351-360 - [c46]Xiyang Liu, Sewoong Oh:
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases. NeurIPS 2019: 2414-2425 - [c45]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels. NeurIPS 2019: 2754-2764 - [c44]Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh:
Efficient Algorithms for Smooth Minimax Optimization. NeurIPS 2019: 12659-12670 - [c43]Yihan Jiang, Sreeram Kannan, Hyeji Kim, Sewoong Oh, Himanshu Asnani, Pramod Viswanath:
DEEPTURBO: Deep Turbo Decoder. SPAWC 2019: 1-5 - [i52]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
DeepTurbo: Deep Turbo Decoder. CoRR abs/1903.02295 (2019) - [i51]Xiyang Liu, Sewoong Oh:
Minimax Rates of Estimating Approximate Differential Privacy. CoRR abs/1905.10335 (2019) - [i50]Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath:
Learning in Gated Neural Networks. CoRR abs/1906.02777 (2019) - [i49]Kiran Koshy Thekumparampil, Sewoong Oh, Ashish Khetan:
Robust conditional GANs under missing or uncertain labels. CoRR abs/1906.03579 (2019) - [i48]Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh:
InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers. CoRR abs/1906.06034 (2019) - [i47]Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh:
Efficient Algorithms for Smooth Minimax Optimization. CoRR abs/1907.01543 (2019) - [i46]Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee:
Optimal transport mapping via input convex neural networks. CoRR abs/1908.10962 (2019) - [i45]Weizhao Tang, Weina Wang, Giulia Fanti, Sewoong Oh:
Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks. CoRR abs/1909.02717 (2019) - [i44]Giulia Fanti, Jiantao Jiao, Ashok Vardhan Makkuva, Sewoong Oh, Ranvir Rana, Pramod Viswanath:
Barracuda: The Power of 𝓁-polling in Proof-of-Stake Blockchains. CoRR abs/1909.08719 (2019) - [i43]Xuechao Wang, Govinda M. Kamath, Vivek Kumar Bagaria, Sreeram Kannan, Sewoong Oh, David Tse, Pramod Viswanath:
Proof-of-Stake Longest Chain Protocols Revisited. CoRR abs/1910.02218 (2019) - [i42]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels. CoRR abs/1911.03038 (2019) - 2018
- [j20]Ashish Khetan, Sewoong Oh:
Generalized Rank-Breaking: Computational and Statistical Tradeoffs. J. Mach. Learn. Res. 19: 28:1-28:42 (2018) - [j19]Sahand Negahban, Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu:
Learning from Comparisons and Choices. J. Mach. Learn. Res. 19: 40:1-40:95 (2018) - [j18]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. IEEE Trans. Inf. Theory 64(5): 3313-3330 (2018) - [j17]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Demystifying Fixed k-Nearest Neighbor Information Estimators. IEEE Trans. Inf. Theory 64(8): 5629-5661 (2018) - [j16]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimal Inference in Crowdsourced Classification via Belief Propagation. IEEE Trans. Inf. Theory 64(9): 6127-6138 (2018) - [c42]Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Communication Algorithms via Deep Learning. ICLR (Poster) 2018 - [c41]Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh:
PacGAN: The power of two samples in generative adversarial networks. NeurIPS 2018: 1505-1514 - [c40]Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Deepcode: Feedback Codes via Deep Learning. NeurIPS 2018: 9458-9468 - [c39]Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh:
Robustness of conditional GANs to noisy labels. NeurIPS 2018: 10292-10303 - [i41]Kiran Koshy Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li:
Attention-based Graph Neural Network for Semi-supervised Learning. CoRR abs/1803.03735 (2018) - [i40]Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Communication Algorithms via Deep Learning. CoRR abs/1805.09317 (2018) - [i39]Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Deepcode: Feedback Codes via Deep Learning. CoRR abs/1807.00801 (2018) - [i38]Giulia Fanti, Leonid Kogan, Sewoong Oh, Kathleen Ruan, Pramod Viswanath, Gerui Wang:
Compounding of Wealth in Proof-of-Stake Cryptocurrencies. CoRR abs/1809.07468 (2018) - [i37]Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath:
Learning One-hidden-layer Neural Networks under General Input Distributions. CoRR abs/1810.04133 (2018) - [i36]Weihao Gao, Chong Wang, Sewoong Oh:
Rate Distortion For Model Compression: From Theory To Practice. CoRR abs/1810.06401 (2018) - [i35]Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh:
Robustness of Conditional GANs to Noisy Labels. CoRR abs/1811.03205 (2018) - [i34]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks. CoRR abs/1811.12707 (2018) - [i33]Ashish Khetan, Harshay Shah, Sewoong Oh:
Number of Connected Components in a Graph: Estimation via Counting Patterns. CoRR abs/1812.00139 (2018) - 2017
- [j15]Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Discovering Potential Correlations via Hypercontractivity. Entropy 19(11): 586 (2017) - [j14]Sahand Negahban, Sewoong Oh, Devavrat Shah:
Rank Centrality: Ranking from Pairwise Comparisons. Oper. Res. 65(1): 266-287 (2017) - [j13]Peter Kairouz, Sewoong Oh, Pramod Viswanath:
The Composition Theorem for Differential Privacy. IEEE Trans. Inf. Theory 63(6): 4037-4049 (2017) - [j12]Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath:
Hiding the Rumor Source. IEEE Trans. Inf. Theory 63(10): 6679-6713 (2017) - [c38]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Demystifying fixed k-nearest neighbor information estimators. ISIT 2017: 1267-1271 - [c37]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Density functional estimators with k-nearest neighbor bandwidths. ISIT 2017: 1351-1355 - [c36]Minje Jang, Sunghyun Kim, Changho Suh, Sewoong Oh:
Optimal Sample Complexity of M-wise Data for Top-K Ranking. NIPS 2017: 1686-1696 - [c35]Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Discovering Potential Correlations via Hypercontractivity. NIPS 2017: 4577-4587 - [c34]Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Estimating Mutual Information for Discrete-Continuous Mixtures. NIPS 2017: 5986-5997 - [c33]Ashish Khetan, Sewoong Oh:
Matrix Norm Estimation from a Few Entries. NIPS 2017: 6424-6433 - [c32]Sewoong Oh:
Matrix Factorization at the Frontier of Non-convex Optimizations: Abstract for SIGMETRICS 2017 Rising Star Award Talk. SIGMETRICS (Abstracts) 2017: 62 - [e1]Bruce E. Hajek, Sewoong Oh, Augustin Chaintreau, Leana Golubchik, Zhi-Li Zhang:
Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05 - 09, 2017. ACM 2017, ISBN 978-1-4503-5032-7 [contents] - [i32]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Density Functional Estimators with k-Nearest Neighbor Bandwidths. CoRR abs/1702.03051 (2017) - [i31]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yunhun Jang, Yung Yi:
Efficient Learning for Crowdsourced Regression. CoRR abs/1702.08840 (2017) - [i30]Ashish Khetan, Sewoong Oh:
Spectrum Estimation from a Few Entries. CoRR abs/1703.06327 (2017) - [i29]Sahand Negahban, Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu:
Learning from Comparisons and Choices. CoRR abs/1704.07228 (2017) - [i28]Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Estimating Mutual Information for Discrete-Continuous Mixtures. CoRR abs/1709.06212 (2017) - [i27]Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh:
PacGAN: The power of two samples in generative adversarial networks. CoRR abs/1712.04086 (2017) - 2016
- [j11]Peter Kairouz, Sewoong Oh, Pramod Viswanath:
Extremal Mechanisms for Local Differential Privacy. J. Mach. Learn. Res. 17: 17:1-17:51 (2016) - [j10]Ashish Khetan, Sewoong Oh:
Data-driven Rank Breaking for Efficient Rank Aggregation. J. Mach. Learn. Res. 17: 193:1-193:54 (2016) - [j9]Subhashini Krishnasamy, Rajat Sen, Sanjay Shakkottai, Sewoong Oh:
Detecting Sponsored Recommendations. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2(1): 6:1-6:29 (2016) - [j8]Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath:
Metadata-Conscious Anonymous Messaging. IEEE Trans. Signal Inf. Process. over Networks 2(4): 582-594 (2016) - [c31]Peter Kairouz, Sewoong Oh, Pramod Viswanath:
Differentially private multi-party computation. CISS 2016: 128-132 - [c30]Ashish Khetan, Sewoong Oh:
Data-driven Rank Breaking for Efficient Rank Aggregation. ICML 2016: 89-98 - [c29]Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath:
Metadata-conscious anonymous messaging. ICML 2016: 108-116 - [c28]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimality of Belief Propagation for Crowdsourced Classification. ICML 2016: 535-544 - [c27]Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications. ICML 2016: 2780-2789 - [c26]Ashish Khetan, Sewoong Oh:
Computational and Statistical Tradeoffs in Learning to Rank. NIPS 2016: 739-747 - [c25]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. NIPS 2016: 2460-2468 - [c24]Ashish Khetan, Sewoong Oh:
Achieving budget-optimality with adaptive schemes in crowdsourcing. NIPS 2016: 4844-4852 - [c23]Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath:
Rumor Source Obfuscation on Irregular Trees. SIGMETRICS 2016: 153-164 - [i26]Ashish Khetan, Sewoong Oh:
Data-driven Rank Breaking for Efficient Rank Aggregation. CoRR abs/1601.05495 (2016) - [i25]Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Causal Strength via Shannon Capacity: Axioms, Estimators and Applications. CoRR abs/1602.03476 (2016) - [i24]Ashish Khetan, Sewoong Oh:
Reliable Crowdsourcing under the Generalized Dawid-Skene Model. CoRR abs/1602.03481 (2016) - [i23]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimality of Belief Propagation for Crowdsourced Classification. CoRR abs/1602.03619 (2016) - [i22]Minje Jang, Sunghyun Kim, Changho Suh, Sewoong Oh:
Top-K Ranking from Pairwise Comparisons: When Spectral Ranking is Optimal. CoRR abs/1603.04153 (2016) - [i21]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Demystifying Fixed k-Nearest Neighbor Information Estimators. CoRR abs/1604.03006 (2016) - [i20]Ashish Khetan, Sewoong Oh:
Computational and Statistical Tradeoffs in Learning to Rank. CoRR abs/1608.06203 (2016) - [i19]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. CoRR abs/1609.02208 (2016) - 2015
- [j7]Quan Geng, Peter Kairouz, Sewoong Oh, Pramod Viswanath:
The Staircase Mechanism in Differential Privacy. IEEE J. Sel. Top. Signal Process. 9(7): 1176-1184 (2015) - [c22]Peter Kairouz, Sewoong Oh, Pramod Viswanath:
The Composition Theorem for Differential Privacy. ICML 2015: 1376-1385 - [c21]