Deshpande, Amit

22 publications

ICLRW 2025 An Optimal Criterion for Steering Data Distributions to Achieve Exact Fairness Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah

NeurIPS 2025 On Optimal Steering to Achieve Exact Fairness Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah

ICML 2025 Optimal Fair Learning Robust to Adversarial Distribution Shift Sushant Agarwal, Amit Deshpande, Rajmohan Rajaraman, Ravi Sundaram

ICLRW 2025 Outlier-Aware Preference Optimization for Large Language Models Pragya Srivastava, Sai Soumya Nalli, Amit Deshpande, Amit Sharma

ICML 2024 How Far Can Fairness Constraints Help Recover from Biased Data? Mohit Sharma, Amit Deshpande

AAAI 2024 Rethinking Robustness of Model Attributions Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N. Balasubramanian

NeurIPS 2023 Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations Abhinav Kumar, Amit Deshpande, Amit Sharma

NeurIPSW 2023 Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post Fairness Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis

IJCAI 2023 Sampling Ex-Post Group-Fair Rankings Sruthi Gorantla, Amit Deshpande, Anand Louis

ECML-PKDD 2023 Socially Fair Center-Based and Linear Subspace Clustering Sruthi Gorantla, Kishen N. Gowda, Amit Deshpande, Anand Louis

AISTATS 2022 Learning and Generalization in Overparameterized Normalizing Flows Kulin Shah, Amit Deshpande, Navin Goyal

NeurIPS 2021 Can We Have It All? on the Trade-Off Between Spatial and Adversarial Robustness of Neural Networks Sandesh Kamath, Amit Deshpande, Subrahmanyam Kambhampati Venkata, Vineeth N Balasubramanian

AAAI 2021 How Linguistically Fair Are Multilingual Pre-Trained Language Models? Monojit Choudhury, Amit Deshpande

ICML 2021 On the Problem of Underranking in Group-Fair Ranking Sruthi Gorantla, Amit Deshpande, Anand Louis

AAAI 2021 The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma

UAI 2020 Robust $k$-Means++ Amit Deshpande, Praneeth Kacham, Rameshwar Pratap

AISTATS 2019 On Euclidean K-Means Clustering with Alpha-Center Proximity Amit Deshpande, Anand Louis, Apoorv Singh

ICML 2018 Fair and Diverse DPP-Based Data Summarization Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth Vishnoi

ICLR 2017 On Robust Concepts and Small Neural Nets Amit Deshpande, Sushrut Karmalkar

NeurIPS 2016 Batched Gaussian Process Bandit Optimization via Determinantal Point Processes Tarun Kathuria, Amit Deshpande, Pushmeet Kohli

ICML 2015 On Greedy Maximization of Entropy Dravyansh Sharma, Ashish Kapoor, Amit Deshpande

MLJ 2009 NP-Hardness of Euclidean Sum-of-Squares Clustering Daniel Aloise, Amit Deshpande, Pierre Hansen, Preyas Popat