Changwoo Lee

5 papers · 2021–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

NeurIPS (3) AISTATS (1) ICLR (1)

Top co-authors

Hun-Seok Kim (3) Huiyan Sang (2) Zhao Tang Luo (2) Hyunwoong Chang (1) Quan Zhou (1) Xiao Hu (1) Qing Qu (1) Soo Min Kwon (1)

Research topics

Machine Learning (5) Optimization & Theory (4) Deep Learning (2) Mathematics & Optimization (2) Application Areas (2) Core Methods (2) Techniques (2) Bayesian & Probabilistic (1) Mathematics (1) Optimization (1)

Keywords

markov chain monte carlo (2) bayesian inference (2) weight matrix (2) structured matrix (2) matrix optimization (1) high-dimensional regression (1) structured sparsity (1) metropolis-hastings algorithm (1) mixing time (1) horseshoe prior (1) proximal gradient descent (1) foundation model (1) perceptual quality (1) neural network inference (1) graph-structured data (1) multiple-try metropoli (1) iterative decoding (1) neural network denoiser (1) joint source-channel coding (1) bayesian horseshoe (1)

Papers

BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference NeurIPS 2024 Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks ICLR 2024 Deep Joint Source-Channel Coding with Iterative Source Error Correction AISTATS 2023 Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems NeurIPS 2022 T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs NeurIPS 2021