Subhro Das
20 papers · 2021–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Cross-Pollinator (14)
π§
Keyword Pioneer
π
Renaissance Researcher
(9)
π
Grand Slam
π
Triple Crown
π₯
Unstoppable
(5)
β
The Questioner
(2)
π
Century Club
(20)
ποΈ
Keyword Collector
(85)
β‘
Prolific Year
(5)
Conferences
ICML (8)
AAAI (4)
NIPS (3)
ACL (1)
AISTATS (1)
EACL (1)
ICLR (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
uncertainty quantification
(4)
natural language processing
(2)
fairness criterion
(2)
mutual information
(2)
text classification
(2)
transfer learning
(2)
out-of-distribution detection
(2)
epistemic uncertainty
(2)
gradient descent
(2)
information extraction
(2)
deep learning
(1)
out-of-domain detection
(1)
energy minimization
(1)
neural network optimization
(1)
bayesian learning
(1)
object detection
(1)
embedding space
(1)
worst-case analysis
(1)
stochastic approximation
(1)
minimax optimization
(1)
Papers
Symmetry-Driven Discovery of Dynamical Variables in Molecular Simulations
ICML 2025
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
ICML 2025
Thermometer: Towards Universal Calibration for Large Language Models
ICML 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
AAAI 2024
A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning
AAAI 2024
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
NIPS 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
NIPS 2024
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
NIPS 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model
AAAI 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
AISTATS 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning
EACL 2023
Label-free Concept Bottleneck Models
ICLR 2023
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
ICML 2023
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
ICML 2022
Selective Regression under Fairness Criteria
ICML 2022
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
ICML 2022
Online Optimal Control with Affine Constraints
AAAI 2021
Fair Selective Classification Via Sufficiency
ICML 2021
A Research Framework for Understanding Education-Occupation Alignment with NLP Techniques
IJCNLP 2021
A Research Framework for Understanding Education-Occupation Alignment with NLP Techniques
ACL 2021