Sewoong Oh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
14
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | PLeaS - Merging Models with Permutations and Least Squares. | Anshul Nasery, Jonathan Hayase, Pang Wei Koh, Sewoong Oh |
| 2025 | ICML | S4S: Solving for a Fast Diffusion Model Solver. | Eric Frankel, Sitan Chen, Jerry Li, Pang Wei Koh, Lillian J. Ratliff, Sewoong Oh |
| 2025 | ICML | Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents. | Eric Frankel, Kshitij Kulkarni, Dmitriy Drusvyatskiy, Sewoong Oh, Lillian J. Ratliff |
| 2025 | ICML | Position: When Incentives Backfire, Data Stops Being Human. | Sebastin Santy, Prasanta Bhattacharya, Manoel Horta Ribeiro, Kelsey R. Allen, Sewoong Oh |
| 2024 | CCS | AirGapAgent: Protecting Privacy-Conscious Conversational Agents. | Eugene Bagdasarian, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage |
| 2024 | COLT | Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract. | Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith |
| 2024 | EMNLP | Better Alignment with Instruction Back-and-Forth Translation. | Thao Nguyen, Jeffrey Li, Sewoong Oh, Ludwig Schmidt, Jason Weston, Luke Zettlemoyer, Xian Li |
| 2024 | ICLR | One-shot Empirical Privacy Estimation for Federated Learning. | Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, Hugh Brendan McMahan, Vinith Menon Suriyakumar |
| 2024 | ICML | Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy. | Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu |
| 2024 | ICML | DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning. | S. Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath |
| 2024 | ICML | Privacy-Preserving Instructions for Aligning Large Language Models. | Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu |
| 2024 | ICML | DPZero: Private Fine-Tuning of Language Models without Backpropagation. | Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He |
| 2024 | NAACL | Can Public Large Language Models Help Private Cross-device Federated Learning? | Boxin Wang, Yibo Zhang, Yuan Cao, Bo Li, Hugh McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer |
| 2023 | CVPR | Learning to Generate Image Embeddings with User-Level Differential Privacy. | Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan |
| 2023 | ICLR | Few-shot Backdoor Attacks via Neural Tangent Kernels. | Jonathan Hayase, Sewoong Oh |
| 2023 | ICML | Why Is Public Pretraining Necessary for Private Model Training? | Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang |
| 2023 | ICML | CRISP: Curriculum based Sequential neural decoders for Polar code family. | S. Ashwin Hebbar, Viraj Vivek Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath |
| 2023 | ICML | Private Federated Learning with Autotuned Compression. | Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh |
| 2022 | AISTATS | Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization. | Kiran Koshy Thekumparampil, Niao He, Sewoong Oh |
| 2022 | COLT | Differential privacy and robust statistics in high dimensions. | Xiyang Liu, Weihao Kong, Sewoong Oh |
| 2022 | ICLR | FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning. | Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh |
| 2022 | ICLR | Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise. | Xingyu Wang, Sewoong Oh, Chang-Han Rhee |
| 2022 | ICML | MAML and ANIL Provably Learn Representations. | Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai |
| 2022 | ICML | De novo mass spectrometry peptide sequencing with a transformer model. | Melih Yilmaz, William Fondrie, Wout Bittremieux, Sewoong Oh, William S. Noble |
| 2021 | ICML | Defense against backdoor attacks via robust covariance estimation. | Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh |
| 2021 | ICML | KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning. | Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath |
| 2021 | ISIT | Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding. | Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath |
| 2020 | AISTATS | Learning in Gated Neural Networks. | Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath |
| 2020 | ICASSP | Feedback Turbo Autoencoder. | Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sewoong Oh, Sreeram Kannan, Pramod Viswanath |
| 2020 | ICML | InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs. | Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh |
| 2020 | ICML | Meta-learning for Mixed Linear Regression. | Weihao Kong, Raghav Somani, Zhao Song, Sham M. Kakade, Sewoong Oh |
| 2020 | ICML | Optimal transport mapping via input convex neural networks. | Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee |
| 2020 | SIGMETRICS | Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks. | Weizhao Tang, Weina Wang, Giulia Fanti, Sewoong Oh |
| 2019 | AISTATS | Learning One-hidden-layer Neural Networks under General Input Distributions. | Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath |
| 2019 | AISTATS | Iterative Bayesian Learning for Crowdsourced Regression. | Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi |
| 2019 | FC | Compounding of Wealth in Proof-of-Stake Cryptocurrencies. | Giulia Fanti, Leonid Kogan, Sewoong Oh, Kathleen Ruan, Pramod Viswanath, Gerui Wang |
| 2019 | ICML | Rate Distortion For Model Compression: From Theory To Practice. | Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh |
| 2019 | ICML | Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms. | Ashok Vardhan Makkuva, Pramod Viswanath, Sreeram Kannan, Sewoong Oh |
| 2019 | MOBIHOC | Barracuda: The Power of ℓ-polling in Proof-of-Stake Blockchains. | Giulia Fanti, Jiantao Jiao, Ashok Vardhan Makkuva, Sewoong Oh, Ranvir Rana, Pramod Viswanath |
| 2018 | ICLR | Communication Algorithms via Deep Learning. | Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath |
| 2017 | ISIT | Demystifying fixed k-nearest neighbor information estimators. | Weihao Gao, Sewoong Oh, Pramod Viswanath |
| 2017 | ISIT | Density functional estimators with k-nearest neighbor bandwidths. | Weihao Gao, Sewoong Oh, Pramod Viswanath |
| 2017 | SIGMETRICS | Matrix Factorization at the Frontier of Non-convex Optimizations: Abstract for SIGMETRICS 2017 Rising Star Award Talk. | Sewoong Oh |
| 2016 | CISS | Differentially private multi-party computation. | Peter Kairouz, Sewoong Oh, Pramod Viswanath |
| 2016 | ICML | Metadata-conscious anonymous messaging. | Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath |
| 2016 | ICML | Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications. | Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath |
| 2016 | ICML | Data-driven Rank Breaking for Efficient Rank Aggregation. | Ashish Khetan, Sewoong Oh |
| 2016 | ICML | Optimality of Belief Propagation for Crowdsourced Classification. | Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi |
| 2016 | SIGMETRICS | Rumor Source Obfuscation on Irregular Trees. | Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath |
| 2015 | ICML | The Composition Theorem for Differential Privacy. | Peter Kairouz, Sewoong Oh, Pramod Viswanath |
| 2015 | SIGMETRICS | Spy vs. Spy: Rumor Source Obfuscation. | Giulia Fanti, Peter Kairouz, Sewoong Oh, Pramod Viswanath |
| 2015 | SIGMETRICS | Detecting Sponsored Recommendations. | Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai |
| 2014 | COLT | Learning Mixtures of Discrete Product Distributions using Spectral Decompositions. | Prateek Jain, Sewoong Oh |
| 2014 | SIGMETRICS | What's your choice?: learning the mixed multi-nomial. | Ammar Ammar, Sewoong Oh, Devavrat Shah, Luis Filipe Voloch |
| 2013 | SIGMETRICS | Efficient crowdsourcing for multi-class labeling. | David R. Karger, Sewoong Oh, Devavrat Shah |
| 2011 | SIGMETRICS | Gossip PCA. | Satish Babu Korada, Andrea Montanari, Sewoong Oh |
| 2010 | SIGMETRICS | Distributed sensor network localization from local connectivity: performance analysis for the HOP-TERRAIN algorithm. | Amin Karbasi, Sewoong Oh |
| 2009 | ISIT | Matrix completion from a few entries. | Raghunandan H. Keshavan, Sewoong Oh, Andrea Montanari |
| 2008 | ISIT | The slope scaling parameter for general channels, decoders, and ensembles. | Jeremie Ezri, Andrea Montanari, Sewoong Oh, Rdiger L. Urbanke |
| 2008 | ISIT | Computing the threshold shift for general channels. | Jeremie Ezri, Rdiger L. Urbanke, Andrea Montanari, Sewoong Oh |