Soumyabrata Pal
27 papers · 2017–2025 · 10 venues · across top CS/AI venues
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Research topics
Machine Learning
(23)
Mathematics & Optimization
(13)
Optimization & Theory
(13)
Core Methods
(12)
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(12)
Artificial Intelligence
(8)
Mathematics
(7)
Optimization
(7)
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(6)
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Keywords
multi-armed bandit
(4)
mixture of linear regression
(4)
sample complexity
(4)
online learning
(3)
query complexity
(3)
regret bound
(3)
collaborative filtering
(3)
compressed sensing
(3)
mixture model
(3)
approximation algorithm
(2)
few-shot learning
(2)
active learning
(2)
inference latency
(2)
alternating minimization
(2)
low-resource language
(2)
sparse signal recovery
(2)
support recovery
(2)
parameter estimation
(2)
in-context learning
(2)
matrix completion
(2)
Papers
FiRST: Finetuning Router-Selective Transformers for Input-Adaptive Latency Reduction
EMNLP 2025
From Selection to Generation: A Survey of LLM-based Active Learning
ACL 2025
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from related Example Banks
NAACL 2025
RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples
EMNLP 2025
TTD-SQL: Tree-Guided Token Decoding for Efficient and Schema-Aware SQL Generation
EMNLP 2025
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD
NeurIPS 2024
Online Matrix Completion: A Collaborative Approach with Hott Items
ICML 2024
Random Subgraph Detection Using Queries
JMLR 2024
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components
AISTATS 2024
Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints
NeurIPS 2023
Community Recovery in the Geometric Block Model
JMLR 2023
Nash Regret Guarantees for Linear Bandits
NeurIPS 2023
Online Low Rank Matrix Completion
ICLR 2023
Optimal Algorithms for Latent Bandits with Cluster Structure
AISTATS 2023
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians
ALT 2022
On Learning Mixture Models with Sparse Parameters
AISTATS 2022
On Learning Mixture of Linear Regressions in the Non-Realizable Setting
ICML 2022
Fuzzy Clustering with Similarity Queries
NeurIPS 2021
Learning User Preferences in Non-Stationary Environments
AISTATS 2021
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
NeurIPS 2021
Algebraic and Analytic Approaches for Parameter Learning in Mixture Models
ALT 2020
High Dimensional Discrete Integration over the Hypergrid
UAI 2020
Recovery of sparse linear classifiers from mixture of responses
NeurIPS 2020
Recovery of Sparse Signals from a Mixture of Linear Samples
ICML 2020
Same-Cluster Querying for Overlapping Clusters
NeurIPS 2019
Sample Complexity of Learning Mixture of Sparse Linear Regressions
NeurIPS 2019
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
NeurIPS 2017