← Authors

Soumyabrata Pal

27 papers · 2017–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (13) πŸ‘₯ Mega-Team (34) 🀝 Dynamic Duo (14) πŸ† Keyword Champion (2) ⚑ Prolific Year (5) πŸ’Ž Century Club (27) πŸ—ƒοΈ Keyword Collector (117) πŸ”₯ Unstoppable (7)

Conferences

NIPS (9) AISTATS (4) EMNLP (3) ICML (3) ALT (2) JMLR (2) ACL (1) ICLR (1) NAACL (1) UAI (1)

Top co-authors

Arya Mazumdar (14) Wasim Huleihel (4) Prateek Jain (4) Koyel Mukherjee (4) Soumya Suvra Ghosal (2) Akshay Krishnamurthy (2) Prateek Varshney (2) Arun Sai Suggala (2) Dinesh Manocha (2) Venkata Gandikota (2)

Keywords

sample complexity (4) mixture of linear regression (4) multi-armed bandit (3) mixture model (3) query complexity (3) compressed sensing (3) inference latency (2) approximation algorithm (2) gaussian mixture (2) low-resource language (2) active learning (2) few-shot learning (2) online learning (2) alternating minimization (2) collaborative filtering (2) sparse signal recovery (2) parameter estimation (2) in-context learning (2) support recovery (2) regret bound (2)

Papers

RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples EMNLP 2025
FiRST: Finetuning Router-Selective Transformers for Input-Adaptive Latency Reduction EMNLP 2025
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from related Example Banks NAACL 2025
From Selection to Generation: A Survey of LLM-based Active Learning ACL 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 NIPS 2024
Random Subgraph Detection Using Queries JMLR 2024
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components AISTATS 2024
Online Matrix Completion: A Collaborative Approach with Hott Items ICML 2024
Online Low Rank Matrix Completion ICLR 2023
Community Recovery in the Geometric Block Model JMLR 2023
Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints NIPS 2023
Nash Regret Guarantees for Linear Bandits NIPS 2023
Optimal Algorithms for Latent Bandits with Cluster Structure AISTATS 2023
On Learning Mixture Models with Sparse Parameters AISTATS 2022
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians ALT 2022
On Learning Mixture of Linear Regressions in the Non-Realizable Setting ICML 2022
Learning User Preferences in Non-Stationary Environments AISTATS 2021
Support Recovery of Sparse Signals from a Mixture of Linear Measurements NIPS 2021
Fuzzy Clustering with Similarity Queries NIPS 2021
High Dimensional Discrete Integration over the Hypergrid UAI 2020
Recovery of sparse linear classifiers from mixture of responses NIPS 2020
Algebraic and Analytic Approaches for Parameter Learning in Mixture Models ALT 2020
Recovery of Sparse Signals from a Mixture of Linear Samples ICML 2020
Same-Cluster Querying for Overlapping Clusters NIPS 2019
Sample Complexity of Learning Mixture of Sparse Linear Regressions NIPS 2019
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding NIPS 2017