# Posts by Collection

## portfolio

### Portfolio item number 2

## publications

### Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression

**J. Kwon**, W. Qian, C. Caramanis, Y. Chen, and D. Damek

Proceedings of the 32nd Annual Conference on Learning Theory (COLT) 2019

__[Arxiv]__

__[Conference]__

__[Video]__

### EM Converges for a Mixture of Many Linear Regressions

**J. Kwon**and C. Caramanis

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020

__[Arxiv]__

__[Conference]__

### The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians

**J. Kwon**and C. Caramanis

Proceedings of the 33rd Annual Conference on Learning Theory (COLT) 2020

__[Arxiv]__

__[Conference]__

__[Video]__

### On the Minimax Optimality of the EM Algorithm for Two-Component Mixed Linear Regression

**J. Kwon**, N. Ho and C. Caramanis

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021

__[Arxiv]__

__[Conference]__

### On the Computational and Statistical Complexity of Over-Parameterized Matrix Sensing

J. Zhuo, J. Kwon, N. Ho and C. CaramanisPreprint, 2021

__[Arxiv]__

### RL for Latent MDPs: Regret Guarantees and a Lower Bound

**J. Kwon**, Y. Efroni, C. Caramanis and S. Mannor

Proceedings of the 35th Neural Information Processing Systems (NeurIPS) 2021 (Spotlight)

__[Arxiv]__

__[Conference]__

__[RL Theory Seminar]__

### MLE and EM for Well-Separated Mixtures: Minimax Rates

**J. Kwon**and C. Caramanis

Work in Progress

__[Arxiv]__

### Reinforcement Learning in Reward-Mixing MDPs

**J. Kwon**, Y. Efroni, C. Caramanis and S. Mannor

Proceedings of the 35th Neural Information Processing Systems (NeurIPS) 2021

__[Arxiv]__

__[Conference]__

### Coordinate Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms

**J. Kwon**, Y. Efroni, C. Caramanis and S. Mannor

Proceedings of the 39th International Conference on Machine Learning (ICML) 2022

__[Arxiv]__

__[Conference]__

### Tractable Optimality in Episodic Latent MABs

**J. Kwon**, Y. Efroni, C. Caramanis and S. Mannor

Proceedings of the 36th Neural Information Processing Systems (NeurIPS) 2022

__[Arxiv]__

__[Conference]__

### Reward-Mixing MDPs with Few Latent Contexts are Learnable

**J. Kwon**, Y. Efroni, C. Caramanis and S. Mannor

Proceedings of the 40th International Conference on Machine Learning (ICML) 2023

__[Arxiv]__

### Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection

H. Bai, G. Canal, X. Du, J. Kwon, R. D Nowak, Y. LiProceedings of the 40th International Conference on Machine Learning (ICML) 2023 (to appear)

__[Arxiv]__

### A Fully First-Order Method for Stochastic Bilevel Optimization

**J. Kwon**, D. Kwon, S. Wright and R. Nowak

Proceedings of the 40th International Conference on Machine Learning (ICML) 2023 (Oral Presentation)

__[Arxiv]__

## talks

### Talk 1 on Relevant Topic in Your Field

### Tutorial 1 on Relevant Topic in Your Field

### Talk 2 on Relevant Topic in Your Field

### Conference Proceeding talk 3 on Relevant Topic in Your Field

## teaching

### Teaching experience 1

Undergraduate course, *University 1, Department*, 2014

### Teaching experience 2

Workshop, *University 1, Department*, 2015