Benjamin I. Rubinstein

5 papers · 2006–2023 · 1 venue · across top CS/AI venues

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Achievements

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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Full 🗺️ Taxonomy Completionist (13) 🏆 Keyword Champion

📈 Trend Setter 🚀 Conference Pioneer

Venues

NeurIPS (5)

Top co-authors

Bo Li (1) Zhuoqun Huang (1) Joachim Rubinstein (1) Pan Zhou (1) Paul Montague (1) Olga Ohrimenko (1) J. H. Rubinstein (1) Zhuolin Yang (1) Qian Chen (1) Neil G Marchant (1)

Research topics

Machine Learning (5) Artificial Intelligence (3) Core AI (3) Learning Types · Machine Learning (3) Core Methods (2) Optimization & Theory (2) Computer Science (1) Deep Learning (1) Application Areas (1) Foundations (1) Learning Types · Deep Learning (1)

Keywords

vc dimension (2) certified robustness (2) randomized smoothing (2) ensemble learning (1) model robustness (1) pac learning (1) compression scheme (1) expected risk (1) multi-class classification (1) sample compression (1) concept class (1) mistake bound (1) risk bound (1) adversarial transferability (1) adversarial example (1) edit distance (1) pac learnability (1) gradient orthogonality (1) one-inclusion graph (1) model smoothness (1)

Papers

RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion NeurIPS 2023 Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity NeurIPS 2022 Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes NeurIPS 2022 TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness NeurIPS 2021 Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds NeurIPS 2006