Mohit Yadav
6 papers · 2017–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Core Methods
(4)
Optimization & Theory
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Architectures
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types
(2)
Optimization
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Applications
(1)
Keywords
gaussian process
(3)
inducing point
(2)
information bottleneck
(1)
curriculum learning
(1)
knowledge transfer
(1)
syntactic analysis
(1)
text understanding
(1)
bayesian linear regression
(1)
constituency parsing
(1)
multi-armed bandit
(1)
regret bound
(1)
contextual bandit
(1)
sublinear regret
(1)
bandit algorithm
(1)
recommendation system
(1)
recommender system
(1)
gaussian process bandit
(1)
top-k recommendation
(1)
kendall kernel
(1)
matrix-vector multiplication
(1)
Papers
Gaussian Process Bandits for Top-k Recommendations
NeurIPS 2024
Kernel Interpolation with Sparse Grids
NeurIPS 2022
Faster Kernel Interpolation for Gaussian Processes
AISTATS 2021
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders
NAACL 2019
Information Bottleneck Inspired Method For Chat Text Segmentation
IJCNLP 2017
Learning and Knowledge Transfer with Memory Networks for Machine Comprehension
EACL 2017