Abhimanyu Das
16 papers · 2012–2025 · 7 conferences · across top CS/AI conferences
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π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Academic Marathon (13)
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(6)
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(3)
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(5)
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(64)
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Century Club
(16)
Conferences
ICML (5)
NIPS (4)
ICLR (3)
AAAI (1)
ALT (1)
COLING (1)
JMLR (1)
Top co-authors
Keywords
linear regression
(3)
linear bandit
(2)
greedy algorithm
(2)
submodular optimization
(2)
submodular function
(2)
graph neural network
(2)
model selection
(1)
adversarial robustness
(1)
orthogonal matching pursuit
(1)
convergence analysis
(1)
sample complexity
(1)
deep learning
(1)
regret minimization
(1)
message passing
(1)
robust statistics
(1)
multi-task learning
(1)
batch learning
(1)
spectral regularization
(1)
optimal experimental design
(1)
feature selection
(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
NIPS 2024
Transformers can optimally learn regression mixture models
ICLR 2024
Efficient List-Decodable Regression using Batches
ICML 2023
Leveraging Initial Hints for Free in Stochastic Linear Bandits
ALT 2022
Beyond GNNs: An Efficient Architecture for Graph Problems
AAAI 2022
On the benefits of maximum likelihood estimation for Regression and Forecasting
ICLR 2022
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model
NIPS 2022
A Convergence Analysis of Gradient Descent on Graph Neural Networks
NIPS 2021
Robust Pure Exploration in Linear Bandits with Limited Budget
ICML 2021
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks
ICLR 2021
Dynamic Balancing for Model Selection in Bandits and RL
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
NIPS 2012