Asish Ghoshal
13 papers · 2017–2024 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(13)
Optimization & Theory
(9)
Artificial Intelligence
(6)
Deep Learning
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Natural Language Processing
(3)
Applications
(3)
Knowledge & Reasoning
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
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Computer Science
(1)
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(1)
Keywords
sample complexity
(5)
directed acyclic graph
(2)
structured prediction
(2)
high-dimensional statistics
(2)
semantic parsing
(2)
structural equation model
(2)
polynomial time
(2)
few-shot learning
(1)
sparse recovery
(1)
causal inference
(1)
structure learning
(1)
model calibration
(1)
fact verification
(1)
question answering
(1)
logistic regression
(1)
efficient computing
(1)
representation learning
(1)
task-oriented dialogue
(1)
game theory
(1)
information retrieval
(1)
Papers
Identifying Causal Changes Between Linear Structural Equation Models
UAI 2024
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval
ACL 2023
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
EMNLP 2021
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing
ICLR 2021
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
AISTATS 2021
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
EMNLP 2020
Minimax Bounds for Structured Prediction Based on Factor Graphs
AISTATS 2020
Learning linear structural equation models in polynomial time and sample complexity
AISTATS 2018
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time
ICML 2018
Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity
AISTATS 2018
Information-theoretic limits of Bayesian network structure learning
AISTATS 2017
Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions
AISTATS 2017
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
NeurIPS 2017