← Authors

Sewoong Oh

90 papers · 2009–2025 · 9 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸ—ΊοΈ Taxonomy Completionist (35) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (16) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (43) 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (18) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ‘₯ Mega-Team (60) πŸ”¬ Deep Specialist (21) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (12) ❓ The Questioner (2) ⚑ Prolific Year (5) πŸ’Ž Century Club (90) πŸ—ƒοΈ Keyword Collector (93)

Conferences

NIPS (43) ICML (24) JMLR (7) ICLR (5) AISTATS (4) COLT (3) CVPR (2) EMNLP (1) NAACL (1)

Top co-authors

Pramod Viswanath (18) Peter Kairouz (10) Ashish Khetan (9) Weihao Kong (8) Jonathan Hayase (8) Sreeram Kannan (8) Prateek Jain (7) Xiyang Liu (7) Thao Nguyen (7) Ludwig Schmidt (7)

Research topics

Differential Privacy (5) Privacy (1) Statistics (1)

Keywords

differential privacy (15) sample complexity (7) preference learning (6) rank aggregation (6) information theory (5) matrix completion (5) spectral method (5) generative model (5) pairwise comparison (5) federated learning (5) low-rank matrix (5) distribution shift (4) minimax optimization (4) mutual information (4) contrastive learning (3) alternating minimization (3) channel coding (3) learning to rank (3) linear regression (3) deep learning (3)

Papers

Position: When Incentives Backfire, Data Stops Being Human ICML 2025
Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents ICML 2025
S4S: Solving for a Fast Diffusion Model Solver ICML 2025
PLeaS - Merging Models with Permutations and Least Squares CVPR 2025
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning ICML 2024
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy ICML 2024
One-shot Empirical Privacy Estimation for Federated Learning ICLR 2024
Better Alignment with Instruction Back-and-Forth Translation EMNLP 2024
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract COLT 2024
Multilingual Diversity Improves Vision-Language Representations NIPS 2024
DataComp-LM: In search of the next generation of training sets for language models NIPS 2024
Understanding the Gains from Repeated Self-Distillation NIPS 2024
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NIPS 2024
Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024
DPZero: Private Fine-Tuning of Language Models without Backpropagation ICML 2024
Privacy-Preserving Instructions for Aligning Large Language Models ICML 2024
DataComp: In search of the next generation of multimodal datasets NIPS 2023
Improving multimodal datasets with image captioning NIPS 2023
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NIPS 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks NIPS 2023
Unleashing the Power of Randomization in Auditing Differentially Private ML NIPS 2023
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness NIPS 2023
Label Poisoning is All You Need NIPS 2023
Learning To Generate Image Embeddings With User-Level Differential Privacy CVPR 2023
Few-shot Backdoor Attacks via Neural Tangent Kernels ICLR 2023
Why Is Public Pretraining Necessary for Private Model Training? ICML 2023
CRISP: Curriculum based Sequential neural decoders for Polar code family ICML 2023
Private Federated Learning with Autotuned Compression ICML 2023
MAUVE Scores for Generative Models: Theory and Practice JMLR 2023
FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning ICLR 2022
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise ICLR 2022
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization NIPS 2022
Zonotope Domains for Lagrangian Neural Network Verification NIPS 2022
De novo mass spectrometry peptide sequencing with a transformer model ICML 2022
MAML and ANIL Provably Learn Representations ICML 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP NIPS 2022
DP-PCA: Statistically Optimal and Differentially Private PCA NIPS 2022
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization AISTATS 2022
Differential privacy and robust statistics in high dimensions COLT 2022
Gradient Inversion with Generative Image Prior NIPS 2021
Statistically and Computationally Efficient Linear Meta-representation Learning NIPS 2021
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals NIPS 2021
Robust and differentially private mean estimation NIPS 2021
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning ICML 2021
SPECTRE: defending against backdoor attacks using robust statistics ICML 2021
Robust Meta-learning for Mixed Linear Regression with Small Batches NIPS 2020
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs ICML 2020
Optimal transport mapping via input convex neural networks ICML 2020
Meta-learning for Mixed Linear Regression ICML 2020
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method NIPS 2020
Learning in Gated Neural Networks AISTATS 2020
Iterative Bayesian Learning for Crowdsourced Regression AISTATS 2019
Learning One-hidden-layer Neural Networks under General Input Distributions AISTATS 2019
Rate Distortion For Model Compression:From Theory To Practice ICML 2019
Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms ICML 2019
Spectrum Estimation from a Few Entries JMLR 2019
Efficient Algorithms for Smooth Minimax Optimization NIPS 2019
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels NIPS 2019
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NIPS 2019
Deepcode: Feedback Codes via Deep Learning NIPS 2018
Robustness of conditional GANs to noisy labels NIPS 2018
Generalized Rank-Breaking: Computational and Statistical Tradeoffs JMLR 2018
PacGAN: The power of two samples in generative adversarial networks NIPS 2018
Learning from Comparisons and Choices JMLR 2018
Communication Algorithms via Deep Learning ICLR 2018
Estimating Mutual Information for Discrete-Continuous Mixtures NIPS 2017
Matrix Norm Estimation from a Few Entries NIPS 2017
Optimal Sample Complexity of M-wise Data for Top-K Ranking NIPS 2017
Discovering Potential Correlations via Hypercontractivity NIPS 2017
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation NIPS 2016
Extremal Mechanisms for Local Differential Privacy JMLR 2016
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications ICML 2016
Data-driven Rank Breaking for Efficient Rank Aggregation ICML 2016
Data-driven Rank Breaking for Efficient Rank Aggregation JMLR 2016
Achieving budget-optimality with adaptive schemes in crowdsourcing NIPS 2016
Computational and Statistical Tradeoffs in Learning to Rank NIPS 2016
Metadata-conscious anonymous messaging ICML 2016
Optimality of Belief Propagation for Crowdsourced Classification ICML 2016
The Composition Theorem for Differential Privacy ICML 2015
Collaboratively Learning Preferences from Ordinal Data NIPS 2015
Secure Multi-party Differential Privacy NIPS 2015
Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014
Provable Tensor Factorization with Missing Data NIPS 2014
Minimax-optimal Inference from Partial Rankings NIPS 2014
Extremal Mechanisms for Local Differential Privacy NIPS 2014
Learning Mixed Multinomial Logit Model from Ordinal Data NIPS 2014
Iterative ranking from pair-wise comparisons NIPS 2012
Iterative Learning for Reliable Crowdsourcing Systems NIPS 2011
Matrix Completion from Noisy Entries JMLR 2010
Matrix Completion from Noisy Entries NIPS 2009