Gangrade, Aditya
- Selective Classification via One-Sided Prediction
2020/10/15 by Gangrade, Aditya, Kag, Anil, Saligrama, Venkatesh · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Online Selective Classification with Limited Feedback
2021/10/27 by Aditya Gangrade, Gangrade, Aditya, Anil Kag +5 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Piecewise Linear Regression via a Difference of Convex Functions
2020/07/05 by Ali Siahkamari, Aditya Gangrade, Siahkamari, Ali +5 · 2 citations
Biochemistry, Genetics and Molecular Biology · Mathematics · #Metabolomics and Mass Spectrometry Studies #Statistical Methods and Inference #Advanced Statistical Methods and Models
- Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
2022/04/01 by Chen, Tianrui, Gangrade, Aditya, Saligrama, Venkatesh · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Safe Linear Bandits over Unknown Polytopes
2022/09/27 by Gangrade, Aditya, Chen, Tianrui, Saligrama, Venkatesh · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Sequential Test for Log-Concavity
2023/01/09 by Aditya Gangrade, Alessandro Rinaldo, Gangrade, Aditya +3 · 2 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
- Label Noise: Ignorance Is Bliss
2024/10/31 by Yilun Zhu, Jianxin Zhang, Zhu, Yilun +5 · 4 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing
- Budget Learning via Bracketing
2020/04/14 by Gangrade, Aditya, Acar, Durmus Alp Emre, Saligrama, Venkatesh · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
2021/11/17 by Robin Dunn, Dunn, Robin, Gangrade, Aditya +4 · 1 citation
Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
- Counterfactually Comparing Abstaining Classifiers
2023/05/17 by Yo Joong Choe, Choe, Yo Joong, Aditya Gangrade +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models
2025/02/24 by Kevin Miller, Miller, Kevin, Samarth Mishra +7 · 1 voice · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV