Asish Ghoshal
13 papers · 2017–2024 · 7 conferences · across top CS/AI conferences
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Conferences
AISTATS (6)
EMNLP (2)
ACL (1)
ICLR (1)
ICML (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
sample complexity
(5)
high-dimensional statistics
(2)
polynomial time
(2)
structured prediction
(2)
sparse recovery
(1)
few-shot learning
(1)
causal inference
(1)
dense retrieval
(1)
representation learning
(1)
logistic regression
(1)
structure learning
(1)
fact verification
(1)
question answering
(1)
semantic parsing
(1)
task-oriented dialogue
(1)
game theory
(1)
information retrieval
(1)
efficient computing
(1)
domain adaptation
(1)
active learning
(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
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
AISTATS 2021
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing
ICLR 2021
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
EMNLP 2021
Minimax Bounds for Structured Prediction Based on Factor Graphs
AISTATS 2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
EMNLP 2020
Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity
AISTATS 2018
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
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
NIPS 2017