Adarsh Barik

7 papers · 2019–2026 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (27)

Venues

ICML (2) NeurIPS (2) UAI (2) AAAI (1)

Top co-authors

Jean Honorio (5) Vincent Y. F. Tan (2) Anand Krishna (2) Wenjie Li (1) Deepak Maurya (1) Philips George John (1)

Research topics

Machine Learning (7) Mathematics & Optimization (4) Core Methods (4) Learning Types (4) Optimization (4) Optimization & Theory (4) Artificial Intelligence (1) Application Areas (1) Bayesian & Probabilistic · Artificial Intelligence (1) Bayesian & Probabilistic · Machine Learning (1) Core AI (1)

Keywords

regret bound (3) sparse regression (3) invex relaxation (2) online advertising (1) sample complexity (1) dynamic regret (1) feature selection (1) low-rank matrix (1) lasso regression (1) high-dimensional regression (1) sequential decision (1) online convex optimization (1) conditional probability (1) support recovery (1) outlier robustness (1) algorithm design (1) regret minimization (1) ucb algorithm (1) exact recovery (1) structure learning (1)

Papers

Dynamic Regret in Outlier-Oblivious Online Optimization using Nonconvex Robust Losses UAI 2026 Provable Guarantees For Robust Feature Selection in Sparse Linear Models in High-Dimensions UAI 2026 p-Mean Regret for Stochastic Bandits AAAI 2025 A Simple Unified Framework for High Dimensional Bandit Problems ICML 2022 Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation ICML 2022 Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem NeurIPS 2021 Learning Bayesian Networks with Low Rank Conditional Probability Tables NeurIPS 2019