Dasgupta, Anirban

14 publications

TMLR 2026 Generalization Bound for a Shallow Transformer Trained Using Gradient Descent Brian Mwigo, Anirban Dasgupta

NeurIPSW 2024 Latent Probabilistic Dataset Distillation with Theoretical Guarantees Progyan Das, Shrutimoy Das, Anirban Dasgupta

AAAI 2024 Simple Weak Coresets for Non-Decomposable Classification Measures Jayesh Malaviya, Anirban Dasgupta, Rachit Chhaya

NeurIPSW 2023 $ODE$Solvers Are Also Wayfinders: Neural ODEs for Multi-Agent Pathplanning Progyan Das, Dwip Dalal, Anirban Dasgupta

NeurIPS 2023 Locality Sensitive Hashing in Fourier Frequency Domain for Soft Set Containment Search Indradyumna Roy, Rishi Agarwal, Soumen Chakrabarti, Anirban Dasgupta, Abir De

AISTATS 2022 On Coresets for Fair Regression and Individually Fair Clustering Rachit Chhaya, Anirban Dasgupta, Jayesh Choudhari, Supratim Shit

TMLR 2022 Online Coresets for Parameteric and Non-Parametric Bregman Clustering Supratim Shit, Anirban Dasgupta, Rachit Chhaya, Jayesh Choudhari

ICML 2020 On Coresets for Regularized Regression Rachit Chhaya, Anirban Dasgupta, Supratim Shit

ICML 2020 Streaming Coresets for Symmetric Tensor Factorization Rachit Chhaya, Jayesh Choudhari, Anirban Dasgupta, Supratim Shit

MLJ 2019 Improved Linear Embeddings via Lagrange Duality Kshiteej Sheth, Dinesh Garg, Anirban Dasgupta

NeurIPS 2018 Mallows Models for Top-K Lists Flavio Chierichetti, Anirban Dasgupta, Shahrzad Haddadan, Ravi Kumar, Silvio Lattanzi

AAAI 2018 Task-Specific Representation Learning for Web-Scale Entity Disambiguation Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti

NeurIPS 2012 Selecting Diverse Features via Spectral Regularization Abhimanyu Das, Anirban Dasgupta, Ravi Kumar

ICML 2009 Feature Hashing for Large Scale Multitask Learning Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, Josh Attenberg