Sanyam Kapoor
10 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze ❓ The Questioner
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(7)
Optimization & Theory
(7)
Deep Learning
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(3)
Natural Language Processing
(2)
Core AI
(2)
Learning Paradigms
(2)
Models
(2)
Resources & Methods
(2)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
bayesian inference
(3)
large language model
(3)
uncertainty estimation
(2)
generalization bound
(2)
gaussian process
(2)
transfer learning
(2)
variational inference
(2)
uncertainty quantification
(2)
neural network
(2)
covariate shift
(1)
ai safety
(1)
catastrophic forgetting
(1)
question answering
(1)
maximum a posteriori
(1)
pac-bayes bound
(1)
data augmentation
(1)
autoregressive model
(1)
model calibration
(1)
scalable inference
(1)
probability calibration
(1)
Papers
Compute-Optimal LLMs Provably Generalize Better with Scale
ICLR 2025
Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know
EACL 2024
Large Language Models Must Be Taught to Know What They Don’t Know
NeurIPS 2024
Function-Space Regularization in Neural Networks: A Probabilistic Perspective
ICML 2023
Should We Learn Most Likely Functions or Parameters?
NeurIPS 2023
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
NeurIPS 2022
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization
NeurIPS 2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
NeurIPS 2022
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
ICML 2021
Variational Auto-Regressive Gaussian Processes for Continual Learning
ICML 2021