Promit Ghosal

5 papers · 2021–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

NeurIPS (3) ICLR (1) UAI (1)

Top co-authors

Sujai Hiremath (2) Kyra Gan (2) Krishna Balasubramanian (1) NABARUN DEB (1) Bodhisattva Sen (1) Tianle Liu (1) Sayan Banerjee (1) Natesh Pillai (1) Mengxiao Gao (1) Jacqueline Maasch (1)

Research topics

Machine Learning (4) Optimization & Theory (3) Artificial Intelligence (2) Bayesian & Probabilistic · Machine Learning (2) Knowledge & Reasoning (1) Mathematics & Optimization (1) Bayesian & Probabilistic · Artificial Intelligence (1) Core AI (1) Learning Types (1) Optimization (1) Reasoning (1)

Keywords

additive noise model (2) stein variational gradient descent (2) wasserstein distance (2) optimal transport (1) kl divergence (1) convergence rate (1) directed acyclic graph (1) asymptotic consistency (1) particle method (1) local search (1) kernelized stein discrepancy (1) constraint-based algorithm (1) plug-in estimator (1) topological sorting (1) barycentric projection (1) propagation of chao (1) topological ordering (1) finite particle convergence (1) global causal discovery (1) variational inference (1)

Papers

Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent ICLR 2025 LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery UAI 2025 Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models NeurIPS 2024 Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent NeurIPS 2023 Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections NeurIPS 2021