Sewoong Oh

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Compounding of Wealth in Proof-of-Stake Cryptocurrencies pdf

Pramod Viswanath, Sewoong Oh, Giulia C. Fanti, 2018, Financial Cryptography.

Matrix completion from a few entries

Andrea Montanari, Sewoong Oh, Raghunandan H. Keshavan, 2009, 2009 IEEE International Symposium on Information Theory.

Matrix Completion from Noisy Entries

Andrea Montanari, Sewoong Oh, Raghunandan H. Keshavan, 2009, J. Mach. Learn. Res..

Achieving budget-optimality with adaptive schemes in crowdsourcing

Ashish Khetan, Sewoong Oh, Sewoong Oh, 2016, NIPS.

Counting with the Crowd

David R. Karger, Adam Marcus, Samuel Madden, 2012, Proc. VLDB Endow..

Matrix completion from a few entries

Andrea Montanari, Sewoong Oh, Raghunandan H. Keshavan, 2009, ISIT.

Data-driven Rank Breaking for Efficient Rank Aggregation pdf

Ashish Khetan, Sewoong Oh, Sewoong Oh, 2016, J. Mach. Learn. Res..

The Composition Theorem for Differential Privacy

Pramod Viswanath, Sewoong Oh, Peter Kairouz, 2013, IEEE Transactions on Information Theory.

PacGAN: The Power of Two Samples in Generative Adversarial Networks

Ashish Khetan, Sewoong Oh, Zinan Lin, 2017, IEEE Journal on Selected Areas in Information Theory.

The Staircase Mechanism in Differential Privacy

Pramod Viswanath, Sewoong Oh, Peter Kairouz, 2015, IEEE Journal of Selected Topics in Signal Processing.

Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems

Devavrat Shah, David R. Karger, Sewoong Oh, 2011, Oper. Res..

Iterative Learning for Reliable Crowdsourcing Systems

Devavrat Shah, David R. Karger, Sewoong Oh, 2011, NIPS.

Estimating Mutual Information for Discrete-Continuous Mixtures

Sreeram Kannan, Pramod Viswanath, Sewoong Oh, 2017, NIPS.

Iterative ranking from pair-wise comparisons

Devavrat Shah, Sewoong Oh, Sahand Negahban, 2012, NIPS.

Minimax-optimal Inference from Partial Rankings

Bruce E. Hajek, Sewoong Oh, Jiaming Xu, 2014, NIPS.

Provable Tensor Factorization with Missing Data

Prateek Jain, Sewoong Oh, Sewoong Oh, 2014, NIPS.

Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation

Pramod Viswanath, Sewoong Oh, Weihao Gao, 2016, IEEE Transactions on Information Theory.

DEEPTURBO: Deep Turbo Decoder

Sreeram Kannan, Himanshu Asnani, Pramod Viswanath, 2019, 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Statistically and Computationally Efficient Linear Meta-representation Learning

Sewoong Oh, Prateek Jain, Praneeth Netrapalli, 2021, NeurIPS.

Gradient flows on graphons: existence, convergence, continuity equations

Sewoong Oh, Soumik Pal, Raghav Somani, 2021, ArXiv.

Reconstruction of visual images from mouse retinal ganglion cell spiking activity using convolutional neural networks

Sewoong Oh, John Thickstun, Z. Harchaoui, 2022, bioRxiv.

52‐3: Late newspaper: Enhanced Viewing Angle Performance of an Advanced WRGB OLED Technology

Don Gyou Lee, Sewoong Oh, Sooyoung Yoon, 2022, SID Symposium Digest of Technical Papers.

Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization

Sewoong Oh, L. Zhang, Niao He, 2022, ArXiv.

Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization

Sewoong Oh, L. Zhang, Niao He, 2022, NeurIPS.

Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP

Sewoong Oh, Gabriel Ilharco, Ludwig Schmidt, 2022, ArXiv.

Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP

Sewoong Oh, Gabriel Ilharco, Ludwig Schmidt, 2022, Neural Information Processing Systems.

Inference of Structure Using LBP

Sewoong Oh, F. Amat, F. Moussavi, 2007 .

Learning to Generate Image Embeddings with User-level Differential Privacy

Maxwell D. Collins, Florian Schroff, Sewoong Oh, 2022, 2211.10844.

MAUVE Scores for Generative Models: Theory and Practice

Yejin Choi, Sewoong Oh, John Thickstun, 2022, ArXiv.

Efficient Algorithms for Smooth Minimax Optimization

Prateek Jain, Praneeth Netrapalli, Sewoong Oh, 2019, NeurIPS.

Rank Centrality: Ranking from Pairwise Comparisons

Devavrat Shah, Sewoong Oh, Sahand Negahban, 2012, Oper. Res..

Learning from Comparisons and Choices pdf

Sewoong Oh, Jiaming Xu, Kiran Koshy Thekumparampil, 2017, J. Mach. Learn. Res..

Optimal Sample Complexity of M-wise Data for Top-K Ranking

Minje Jang, Sewoong Oh, Changho Suh, 2017, NIPS.

Collaboratively Learning Preferences from Ordinal Data

Sewoong Oh, Jiaming Xu, Kiran Koshy Thekumparampil, 2015, NIPS.

Learning Mixed Multinomial Logit Model from Ordinal Data

Devavrat Shah, Sewoong Oh, Sewoong Oh, 2014, NIPS.

What's your choice?: learning the mixed multi-nomial

Devavrat Shah, Sewoong Oh, Ammar Ammar, 2014, SIGMETRICS '14.

Detecting Sponsored Recommendations pdf

Sanjay Shakkottai, Subhashini Krishnasamy, Sewoong Oh, 2015, SIGMETRICS.

Spectrum Estimation from a Few Entries pdf

Ashish Khetan, Sewoong Oh, Sewoong Oh, 2017, J. Mach. Learn. Res..

Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP

Sewoong Oh, Gabriel Ilharco, Ludwig Schmidt, 2022, NeurIPS.

Learning Mixtures of Discrete Product Distributions using Spectral Decompositions pdf

Prateek Jain, Sewoong Oh, Sewoong Oh, 2013, COLT.

Attention-based Graph Neural Network for Semi-supervised Learning pdf

Chong Wang, Sewoong Oh, Li-Jia Li, 2018, ArXiv.

Top-K Ranking from Pairwise Comparisons: When Spectral Ranking is Optimal pdf

Minje Jang, Sewoong Oh, Changho Suh, 2016, ArXiv.

Demystifying fixed k-nearest neighbor information estimators

Pramod Viswanath, Sewoong Oh, Weihao Gao, 2016, 2017 IEEE International Symposium on Information Theory (ISIT).

Learning One-hidden-layer Neural Networks under General Input Distributions pdf

Pramod Viswanath, Sewoong Oh, Ashok Vardhan Makkuva, 2018, AISTATS.

Discovering Potential Correlations via Hypercontractivity

Sreeram Kannan, Pramod Viswanath, Sewoong Oh, 2017, NIPS.

Gradient Inversion with Generative Image Prior pdf

Jungseul Ok, Kangwook Lee, Jaechang Kim, 2021, NeurIPS.

Communication Algorithms via Deep Learning pdf

Sreeram Kannan, Pramod Viswanath, Sewoong Oh, 2018, ICLR.

Challenges towards the Next Frontier in Privacy

Ryan M. Rogers, Weijie J. Su, Nicolas Papernot, 2023, ArXiv.

Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms

Sreeram Kannan, Pramod Viswanath, Sewoong Oh, 2018, ICML.

A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion pdf

Sewoong Oh, Raghunandan H. Keshavan, Sewoong Oh, 2009, ArXiv.

Optimal Inference in Crowdsourced Classification via Belief Propagation

Jinwoo Shin, Yung Yi, Sewoong Oh, 2016, IEEE Transactions on Information Theory.

Deepcode: Feedback Codes via Deep Learning

Sreeram Kannan, Pramod Viswanath, Sewoong Oh, 2018, IEEE Journal on Selected Areas in Information Theory.

Extremal Mechanisms for Local Differential Privacy

Pramod Viswanath, Sewoong Oh, Peter Kairouz, 2014, J. Mach. Learn. Res..

Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization pdf

Niao He, Kiran Koshy Thekumparampil, Sewoong Oh, 2022, AISTATS.

Gossip PCA pdf

Andrea Montanari, Sewoong Oh, Satish Babu Korada, 2011, PERV.

Efficient crowdsourcing for multi-class labeling

Devavrat Shah, David R. Karger, Sewoong Oh, 2013, SIGMETRICS '13.

Budget-optimal crowdsourcing using low-rank matrix approximations

Devavrat Shah, David R. Karger, Sewoong Oh, 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Evaluating proteomics imputation methods with improved criteria

William Stafford Noble, William E. Fondrie, Sewoong Oh, 2023, bioRxiv.

MAML and ANIL Provably Learn Representations

Sewoong Oh, S. Shakkottai, Aryan Mokhtari, 2022, ICML.

LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks

Sreeram Kannan, Himanshu Asnani, Pramod Viswanath, 2018, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

Learning low rank matrices from O(n) entries

Andrea Montanari, Sewoong Oh, Raghunandan H. Keshavan, 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.

Hiding the Rumor Source

Kannan Ramchandran, Pramod Viswanath, Sewoong Oh, 2015, IEEE Transactions on Information Theory.

Metadata-Conscious Anonymous Messaging

Kannan Ramchandran, Pramod Viswanath, Sewoong Oh, 2016, IEEE Transactions on Signal and Information Processing over Networks.

Rate Distortion For Model Compression: From Theory To Practice pdf

Sewoong Oh, Chong Wang, Weihao Gao, 2018, ICML.

Iterative Bayesian Learning for Crowdsourced Regression

Yung Yi, Sewoong Oh, Jungseul Ok, 2017, AISTATS.

Robustness of Conditional GANs to Noisy Labels

Ashish Khetan, Sewoong Oh, Kiran Koshy Thekumparampil, 2018, NeurIPS.

Efficient Learning for Crowdsourced Regression pdf

Jinwoo Shin, Yung Yi, Sewoong Oh, 2017, ArXiv.

Optimality of Belief Propagation for Crowdsourced Classification pdf

Jinwoo Shin, Yung Yi, Sewoong Oh, 2016, ICML.

Optimality of Belief Propagation for Crowdsourced Classification: Proof for Arbitrary Number of Per-worker Assignments

Jinwoo Shin, Yung Yi, Sewoong Oh, 2016 .

Reliable Crowdsourcing under the Generalized Dawid-Skene Model pdf

Ashish Khetan, Sewoong Oh, Sewoong Oh, 2016, ArXiv.

Unleashing the Power of Randomization in Auditing Differentially Private ML

Sewoong Oh, H. B. McMahan, P. Kairouz, 2023, NeurIPS.

One-shot Empirical Privacy Estimation for Federated Learning

Sewoong Oh, H. B. McMahan, V. Suriyakumar, 2023, ArXiv.

Learning to Generate Image Embeddings with User-Level Differential Privacy

Maxwell D. Collins, Florian Schroff, Sewoong Oh, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Can Public Large Language Models Help Private Cross-device Federated Learning?

Boxin Wang, Manzil Zaheer, Sewoong Oh, 2023, ArXiv.

Computational and Statistical Tradeoffs in Learning to Rank

Ashish Khetan, Sewoong Oh, Sewoong Oh, 2016, NIPS.

Improving Multimodal Datasets with Image Captioning

Sewoong Oh, Gabriel Ilharco, Ludwig Schmidt, 2023, ArXiv.

Robust and Differentially Private Mean Estimation pdf

Weihao Kong, Sewoong Oh, Sham Kakade, 2021, NeurIPS.

Gradient flows on graphons: existence, convergence, continuity equations

Sewoong Oh, Soumik Pal, Raghav Somani, 2021, Journal of Theoretical Probability.

De novo mass spectrometry peptide sequencing with a transformer model

William Stafford Noble, William E. Fondrie, Sewoong Oh, 2022, bioRxiv.

Robust Meta-learning for Mixed Linear Regression with Small Batches pdf

Weihao Kong, Sewoong Oh, Raghav Somani, 2020, NeurIPS.

DP-PCA: Statistically Optimal and Differentially Private PCA

Sewoong Oh, Prateek Jain, Weihao Kong, 2022, NeurIPS.

Spy vs. Spy

Pramod Viswanath, Sewoong Oh, Peter Kairouz, 2014, SIGMETRICS.

Near Optimal Private and Robust Linear Regression

Arun Sai Suggala, Sewoong Oh, Prateek Jain, 2023, ArXiv.

Differential privacy and robust statistics in high dimensions pdf

Weihao Kong, Sewoong Oh, Xiyang Liu, 2021, COLT.

Why Is Public Pretraining Necessary for Private Model Training?

Sewoong Oh, Abhradeep Thakurta, T. Steinke, 2023, ICML.

Differentially private multi-party computation

Pramod Viswanath, Sewoong Oh, Peter Kairouz, 2016, 2016 Annual Conference on Information Science and Systems (CISS).

Secure Multi-party Differential Privacy

Pramod Viswanath, Sewoong Oh, Peter Kairouz, 2015, NIPS.

Differentially Private Multi-party Computation: Optimality of Non-Interactive Randomized Response

Pramod Viswanath, Sewoong Oh, Peter Kairouz, 2014, 1407.1546.

DEEPTURBO: Deep Turbo Decoder

Sewoong Oh, P. Viswanath, Sreeram Kannan, 2019, 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications

Sreeram Kannan, Pramod Viswanath, Sewoong Oh, 2016, ICML.

Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks

Sewoong Oh, Abhradeep Thakurta, Daogao Liu, 2023, ArXiv.

Improving Multimodal Datasets with Image Captioning

Sewoong Oh, Gabriel Ilharco, Ludwig Schmidt, 2023, NeurIPS.

Stochastic optimization on matrices and a graphon McKean-Vlasov limit

Sewoong Oh, Soumik Pal, Raghav Somani, 2022, 2210.00422.

Low-rank matrix completion with noisy observations: A quantitative comparison

Andrea Montanari, Sewoong Oh, Raghunandan H. Keshavan, 2009, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Demystifying fixed k-nearest neighbor information estimators

Sewoong Oh, P. Viswanath, Weihao Gao, 2016, 2017 IEEE International Symposium on Information Theory (ISIT).

Detecting Sponsored Recommendations

Sewoong Oh, Rajat Sen, S. Shakkottai, 2016, ACM Trans. Model. Perform. Evaluation Comput. Syst..

Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals

Sean Welleck, Krishna Pillutla, Yejin Choi, 2021, NeurIPS.

Matrix Completion From a Few Entries

Raghunandan H. Keshavan, Sewoong Oh, A. Montanari, 2010, IEEE Transactions on Information Theory.

One-shot Empirical Privacy Estimation for Federated Learning

Sewoong Oh, H. B. McMahan, V. Suriyakumar, 2023, ArXiv.

Number of Connected Components in a Graph: Estimation via Counting Patterns pdf

Ashish Khetan, Sewoong Oh, Harshay Shah, 2018, ArXiv.