Jonathan Ragan-Kelley
9 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird
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Machine Learning
(9)
Deep Learning
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Optimization & Theory · Machine Learning
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Artificial Intelligence
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Core AI
(4)
Optimization & Theory · Deep Learning
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Natural Language Processing
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large language model
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model compression
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gradient descent
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neural tangent kernel
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hyperparameter optimization
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in-context learning
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cognitive modeling
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efficient inference
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efficient computing
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model parallelism
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distributed computing
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automatic differentiation
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feature space
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differentiable programming
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monte carlo algorithm
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model architecture
(1)
kernel optimization
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autoregressive model
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convolutional neural network
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feature learning
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Papers
Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping
ICML 2025
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding
ICML 2025
Fast Matrix Multiplications for Lookup Table-Quantized LLMs
EMNLP 2024
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
NeurIPS 2024
The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning
ICLR 2024
Inferring the Future by Imagining the Past
NeurIPS 2023
Gradient Descent: The Ultimate Optimizer
NeurIPS 2022
DiffTaichi: Differentiable Programming for Physical Simulation
ICLR 2020
Neural Kernels Without Tangents
ICML 2020