Subhro Das
19 papers · 2021–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (49) π Triple Crown
π
Triple Crown
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
π
Century Club Β· Bronze
π
Renaissance Researcher
(7)
ποΈ
Keyword Collector
(98)
Top co-authors
Research topics
Machine Learning
(15)
Artificial Intelligence
(12)
Core AI
(10)
Core Methods
(7)
Learning Types Β· Machine Learning
(7)
Optimization & Theory
(7)
Deep Learning
(5)
Natural Language Processing
(4)
Application Areas
(4)
Learning Types Β· Deep Learning
(4)
Mathematics & Optimization
(3)
Bayesian & Probabilistic
(3)
Optimization
(3)
Resources & Methods
(3)
Reinforcement Learning
(2)
Keywords
uncertainty quantification
(4)
transfer learning
(3)
gradient descent
(2)
mutual information
(2)
fairness criterion
(2)
epistemic uncertainty
(2)
out-of-distribution detection
(2)
neural network
(2)
calibration
(1)
object detection
(1)
contrastive learning
(1)
text classification
(1)
information extraction
(1)
energy minimization
(1)
bayesian learning
(1)
minimax optimization
(1)
neural network optimization
(1)
natural language processing
(1)
model interpretability
(1)
deep learning
(1)
Papers
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
ICML 2025
Symmetry-Driven Discovery of Dynamical Variables in Molecular Simulations
ICML 2025
A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning
AAAI 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
NeurIPS 2024
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
NeurIPS 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
AAAI 2024
Thermometer: Towards Universal Calibration for Large Language Models
ICML 2024
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
ICML 2023
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
NeurIPS 2023
Label-free Concept Bottleneck Models
ICLR 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model
AAAI 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning
EACL 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
AISTATS 2023
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
ICML 2022
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
ICML 2022
Selective Regression under Fairness Criteria
ICML 2022
A Research Framework for Understanding Education-Occupation Alignment with NLP Techniques
ACL 2021
Fair Selective Classification Via Sufficiency
ICML 2021
Online Optimal Control with Affine Constraints
AAAI 2021