Sinha, Abhishek

21 publications

NeurIPS 2025 $O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Rahul Vaze, Abhishek Sinha

NeurIPS 2025 Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints Abhishek Sinha, Rahul Vaze

ICMLW 2024 $\alpha$-Fair Contextual Bandits Siddhant Chaudhary, Abhishek Sinha

UAI 2024 BanditQ:Fair Bandits with Guaranteed Rewards Abhishek Sinha

AAAI 2024 Confidence Is All You Need for MI Attacks (Student Abstract) Abhishek Sinha, Himanshi Tibrewal, Mansi Gupta, Nikhar Waghela, Shivank Garg

NeurIPS 2024 Optimal Algorithms for Online Convex Optimization with Adversarial Constraints Abhishek Sinha, Rahul Vaze

ICMLW 2024 Tight Bounds for Online Convex Optimization with Adversarial Constraints Abhishek Sinha, Rahul Vaze

NeurIPS 2023 No-Regret Algorithms for Fair Resource Allocation Abhishek Sinha, Ativ Joshi, Rajarshi Bhattacharjee, Cameron Musco, Mohammad Hajiesmaili

AISTATS 2022 K-Experts - Online Policies and Fundamental Limits Samrat Mukhopadhyay, Sourav Sahoo, Abhishek Sinha

ICLR 2022 Comparing Distributions by Measuring Differences That Affect Decision Making Shengjia Zhao, Abhishek Sinha, Yutong He, Aidan Perreault, Jiaming Song, Stefano Ermon

NeurIPS 2021 $\texttt{LeadCache}$: Regret-Optimal Caching in Networks Debjit Paria, Abhishek Sinha

NeurIPS 2021 D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon

ICLRW 2021 Hybrid Mutual Information Lower-Bound Estimators for Representation Learning Abhishek Sinha, Jiaming Song, Stefano Ermon

ICLR 2021 Negative Data Augmentation Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon

NeurIPSW 2021 Status-Quo Policy Gradient in Multi-Agent Reinforcement Learning Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy

ECCV 2020 Attributional Robustness Training Using Input-Gradient Spatial Alignment Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N Balasubramanian, Balaji Krishnamurthy

WACV 2020 Charting the Right Manifold: Manifold Mixup for Few-Shot Learning Puneet Mangla, Nupur Kumari, Abhishek Sinha, Mayank Singh, Balaji Krishnamurthy, Vineeth N Balasubramanian

WACV 2019 Attention Based Natural Language Grounding by Navigating Virtual Environment Abhishek Sinha, Akilesh B, Mausoom Sarkar, Balaji Krishnamurthy

IJCAI 2019 Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian

CVPRW 2019 Powering Robust Fashion Retrieval with Information Rich Feature Embeddings Ayush Chopra, Abhishek Sinha, Hiresh Gupta, Mausoom Sarkar, Kumar Ayush, Balaji Krishnamurthy

ICLR 2017 Introspection: Accelerating Neural Network Training by Learning Weight Evolution Abhishek Sinha, Aahitagni Mukherjee, Mausoom Sarkar, Balaji Krishnamurthy