Hemant Tyagi

12 papers · 2014–2025 · 4 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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🗺️ Taxonomy Completionist (23) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🏆 Keyword Champion (2) 🧬 Topic Evolution 📈 Trend Setter 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (65)

Venues

JMLR (6) AISTATS (4) ICML (1) NeurIPS (1)

Top co-authors

Mihai Cucuringu (6) Guillaume Braun (3) Andreas Krause (2) Bernd Gärtner (2) Ernesto Araya (2) Christophe Biernacki (2) Eglantine Karlé (1) Peter Davies (1) Anastasios Kyrillidis (1) Apoorv Vikram Singh (1)

Research topics

Machine Learning (11) Mathematics & Optimization (11) Core Methods (9) Mathematics (7) Optimization (7) Optimization & Theory (6) Computer Science (3) Data Science & Analytics (3) Applications (3) Foundations (3) Learning Types (1)

Keywords

stochastic block model (4) network clustering (2) smooth function (2) spectral clustering (2) function approximation (2) signed graph (2) angular synchronization (2) pairwise measurement (2) graph clustering (1) high-dimensional statistics (1) compressive sensing (1) matrix perturbation (1) sparse regression (1) ranking aggregation (1) non-convex optimization (1) sample complexity (1) graph analysis (1) convex optimization (1) mean squared error (1) matrix completion (1)

Papers

Dynamic angular synchronization under smoothness constraints JMLR 2025 Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method JMLR 2024 Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method JMLR 2023 An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees ICML 2022 Clustering multilayer graphs with missing nodes AISTATS 2021 Ranking and synchronization from pairwise measurements via SVD JMLR 2021 Regularized spectral methods for clustering signed networks JMLR 2021 Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping JMLR 2020 SPONGE: A generalized eigenproblem for clustering signed networks AISTATS 2019 On denoising modulo 1 samples of a function AISTATS 2018 Learning Sparse Additive Models with Interactions in High Dimensions AISTATS 2016 Efficient Sampling for Learning Sparse Additive Models in High Dimensions NeurIPS 2014