Shachi Deshpande

13 papers A* 2A 3Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Calibrated Regression Against An Adversary Without Regret. UAI Shachi Deshpande, Charles Marx, Volodymyr Kuleshov
2025	—	`conf`	Towards xApp Conflict Evaluation with Explainable Machine Learning and Causal Inference in O-RAN. NFV-SDN Pragya Sharma, Shihua Sun, Shachi Deshpande, Angelos Stavrou, Haining Wang
2025	J	`jnl`	Towards xApp Conflict Evaluation with Explainable Machine Learning and Causal Inference in O-RAN. CoRR Pragya Sharma, Shihua Sun, Shachi Deshpande, Angelos Stavrou, Haining Wang
2024	A	`conf`	Calibrated and Conformal Propensity Scores for Causal Effect Estimation. UAI Shachi Deshpande, Volodymyr Kuleshov
2024	A	`conf`	Online Calibrated and Conformal Prediction Improves Bayesian Optimization. AISTATS Shachi Deshpande, Charles Marx, Volodymyr Kuleshov
2023	J	`jnl`	Calibrated Propensity Scores for Causal Effect Estimation. CoRR Shachi Deshpande, Volodymyr Kuleshov
2023	J	`jnl`	Online Calibrated Regression for Adversarially Robust Forecasting. CoRR Volodymyr Kuleshov, Shachi Deshpande
2022	A*	`conf`	Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation. ICML Volodymyr Kuleshov, Shachi Deshpande
2022	A*	`conf`	Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies. NeurIPS Shachi Deshpande, Kaiwen Wang, Dhruv Sreenivas, Zheng Li, Volodymyr Kuleshov
2022	J	`jnl`	Multi-Modal Causal Inference with Deep Structural Equation Models. CoRR Shachi Deshpande, Zheng Li, Volodymyr Kuleshov
2021	J	`jnl`	Calibrated and Sharp Uncertainties in Deep Learning via Simple Density Estimation. CoRR Volodymyr Kuleshov, Shachi Deshpande
2021	J	`jnl`	Calibration Improves Bayesian Optimization. CoRR Shachi Deshpande, Volodymyr Kuleshov
2017	J	`jnl`	New Genome Similarity Measures based on Conserved Gene Adjacencies. J. Comput. Biol. Daniel Doerr, Luis Antonio Brasil Kowada, Eloi Araujo, Shachi Deshpande, Simone Dantas, Bernard M. E. Moret, Jens Stoye