Nikhil Rao
18 papers · 2012–2024 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (7) 🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(12)
🏆
Keyword Champion
💎
Century Club
(18)
🗃️
Keyword Collector
(102)
🔥
Unstoppable
(5)
📈
Trend Setter
Conferences
NIPS (9)
AISTATS (3)
ACL (2)
AAAI (1)
COLING (1)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
feature selection
(3)
graph neural network
(3)
multitask learning
(3)
low-rank matrix
(2)
convex optimization
(2)
collaborative filtering
(2)
group sparsity
(2)
node classification
(2)
matrix factorization
(2)
probabilistic modeling
(1)
multivariate gaussian
(1)
sparse learning
(1)
few-shot learning
(1)
logical reasoning
(1)
compressed sensing
(1)
compressive sensing
(1)
information retrieval
(1)
semi-supervised learning
(1)
self-supervised learning
(1)
direct preference optimization
(1)
Papers
Dodo: Dynamic Contextual Compression for Decoder-only LMs
ACL 2024
Automatic Pair Construction for Contrastive Post-training
NAACL 2024
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
NIPS 2023
Maximizing and Satisficing in Multi-armed Bandits with Graph Information
NIPS 2022
Task-Agnostic Graph Explanations
NIPS 2022
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
ICLR 2022
Finding Needles in Heterogeneous Haystacks
AAAI 2021
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
NIPS 2021
Scalable Feature Selection for (Multitask) Gradient Boosted Trees
AISTATS 2020
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
Structured Sparse Regression via Greedy Hard Thresholding
NIPS 2016
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction
NIPS 2016
Collaborative Filtering with Graph Information: Consistency and Scalable Methods
NIPS 2015
Sparse and Low-Rank Tensor Decomposition
NIPS 2015
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis
NIPS 2013
Universal Measurement Bounds for Structured Sparse Signal Recovery
AISTATS 2012