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Chris De Sa

7 papers · 2018–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird

Venues

ICML (6) NeurIPS (1)

Top co-authors

Christopher Re (2) Albert Gu (2) Aaron Gokaslan (1) Alexander Ratner (1) Karthik Sridharan (1) Dylan Foster (1) Jayadev Acharya (1) Junwen Bai (1) Wing Wong (1) Ritchie Zhao (1)

Research topics

Machine Learning (7) Optimization & Theory (5) Mathematics & Optimization (3) Application Areas (3) Core Methods (3) Artificial Intelligence (2) Deep Learning (2) Optimization (2) Architectures (1) Bayesian & Probabilistic (1) Core AI (1) Mathematics (1) Models (1)

Keywords

neural network quantization (1) model compression (1) dimensionality reduction (1) representation learning (1) image generation (1) variational inference (1) bayesian inference (1) data augmentation (1) distributed learning (1) energy efficiency (1) markov chain monte carlo (1) gibbs sampling (1) stochastic convex optimization (1) mirror descent (1) variance regularization (1) graphical model (1) diffusion model (1) convergence rate (1) metric space (1) stochastic weight averaging (1)

Papers

Diffusion Models With Learned Adaptive Noise NeurIPS 2024 A Kernel Theory of Modern Data Augmentation ICML 2019 Distributed Learning with Sublinear Communication ICML 2019 Improving Neural Network Quantization without Retraining using Outlier Channel Splitting ICML 2019 SWALP : Stochastic Weight Averaging in Low Precision Training ICML 2019 Minibatch Gibbs Sampling on Large Graphical Models ICML 2018 Representation Tradeoffs for Hyperbolic Embeddings ICML 2018