Nikhil Rao
18 papers · 2012–2024 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (50)
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Renaissance Researcher
(7)
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Research topics
Machine Learning
(18)
Core Methods
(12)
Learning Types
(8)
Deep Learning
(6)
Architectures
(6)
Mathematics & Optimization
(5)
Application Areas
(5)
Optimization
(5)
Artificial Intelligence
(4)
Data Science & Analytics
(4)
Optimization & Theory
(4)
Applications
(3)
Core AI
(2)
Learning Paradigms
(2)
Computer Vision
(1)
Keywords
graph neural network
(4)
feature selection
(3)
node classification
(3)
multi-task learning
(3)
matrix factorization
(2)
collaborative filtering
(2)
convex optimization
(2)
group sparsity
(2)
low-rank matrix
(2)
few-shot learning
(1)
sparse learning
(1)
compressive sensing
(1)
multivariate gaussian
(1)
compressed sensing
(1)
self-supervised learning
(1)
semi-supervised learning
(1)
direct preference optimization
(1)
preference learning
(1)
domain generalization
(1)
logical reasoning
(1)
Papers
Automatic Pair Construction for Contrastive Post-training
NAACL 2024
Dodo: Dynamic Contextual Compression for Decoder-only LMs
ACL 2024
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
NeurIPS 2023
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
ICLR 2022
Maximizing and Satisficing in Multi-armed Bandits with Graph Information
NeurIPS 2022
Task-Agnostic Graph Explanations
NeurIPS 2022
Finding Needles in Heterogeneous Haystacks
AAAI 2021
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
NeurIPS 2021
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering
AISTATS 2020
Learning Robust Models for e-Commerce Product Search
ACL 2020
Regularized Graph Convolutional Networks for Short Text Classification
COLING 2020
Scalable Feature Selection for (Multitask) Gradient Boosted Trees
AISTATS 2020
Structured Sparse Regression via Greedy Hard Thresholding
NeurIPS 2016
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction
NeurIPS 2016
Collaborative Filtering with Graph Information: Consistency and Scalable Methods
NeurIPS 2015
Sparse and Low-Rank Tensor Decomposition
NeurIPS 2015
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis
NeurIPS 2013
Universal Measurement Bounds for Structured Sparse Signal Recovery
AISTATS 2012