Abhimanyu Das
16 papers · 2012–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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(6)
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(91)
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Research topics
Machine Learning
(15)
Core Methods
(9)
Optimization & Theory Β· Machine Learning
(8)
Learning Types
(6)
Deep Learning
(4)
Mathematics & Optimization
(4)
Architectures
(4)
Optimization
(4)
Artificial Intelligence
(3)
Core AI
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Keywords
linear regression
(3)
multi-task learning
(2)
forecasting
(2)
submodular function
(2)
submodular optimization
(2)
linear bandit
(2)
greedy algorithm
(2)
graph neural network
(2)
feature learning
(1)
robust statistics
(1)
representation learning
(1)
convergence analysis
(1)
sample complexity
(1)
deep learning
(1)
feature selection
(1)
multi-source learning
(1)
reinforcement learning
(1)
prior knowledge
(1)
gradient descent
(1)
message passing
(1)
Papers
In-Context Fine-Tuning for Time-Series Foundation Models
ICML 2025
A decoder-only foundation model for time-series forecasting
ICML 2024
Linear Regression using Heterogeneous Data Batches
NeurIPS 2024
Transformers can optimally learn regression mixture models
ICLR 2024
Efficient List-Decodable Regression using Batches
ICML 2023
Beyond GNNs: An Efficient Architecture for Graph Problems
AAAI 2022
Leveraging Initial Hints for Free in Stochastic Linear Bandits
ALT 2022
On the benefits of maximum likelihood estimation for Regression and Forecasting
ICLR 2022
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model
NeurIPS 2022
A Convergence Analysis of Gradient Descent on Graph Neural Networks
NeurIPS 2021
Dynamic Balancing for Model Selection in Bandits and RL
ICML 2021
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks
ICLR 2021
Robust Pure Exploration in Linear Bandits with Limited Budget
ICML 2021
Approximate Submodularity and its Applications: Subset Selection, Sparse Approximation and Dictionary Selection
JMLR 2018
Discovering Topical Aspects in Microblogs
COLING 2014
Selecting Diverse Features via Spectral Regularization
NeurIPS 2012