Anay Mehrotra - RankMe

46 papers A* 12C 1Journal 28Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Linear Regression with Unknown Truncation Beyond Gaussian Features. CoRR Alexandros Kouridakis, Anay Mehrotra, Alkis Kalavasis, Constantine Caramanis
2026	J	`jnl`	Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms. CoRR Alkis Kalavasis, Anay Mehrotra, Manolis Zampetakis, Felix Zhou, Ziyu Zhu
2025	J	`jnl`	Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases and Beyond. CoRR Alkis Kalavasis, Anay Mehrotra, Felix Zhou
2025	J	`jnl`	DDPM Score Matching and Distribution Learning. CoRR Sinho Chewi, Alkis Kalavasis, Anay Mehrotra, Omar Montasser
2025	J	`jnl`	Language Generation with Infinite Contamination. CoRR Anay Mehrotra, Grigoris Velegkas, Xifan Yu, Felix Zhou
2025	J	`jnl`	Learning with Positive and Imperfect Unlabeled Data. CoRR Jane H. Lee, Anay Mehrotra, Manolis Zampetakis
2025	J	`jnl`	On Union-Closedness of Language Generation. CoRR Steve Hanneke, Amin Karbasi, Anay Mehrotra, Grigoris Velegkas
2025	A*	`conf`	On the Limits of Language Generation: Trade-Offs between Hallucination and Mode-Collapse. STOC Alkis Kalavasis, Anay Mehrotra, Grigoris Velegkas
2025	A*	`conf`	What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness (Extended Abstract). COLT Yang Cai, Alkis Kalavasis, Katerina Mamali, Anay Mehrotra, Manolis Zampetakis
2025	J	`jnl`	What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness. CoRR Yang Cai, Alkis Kalavasis, Katerina Mamali, Anay Mehrotra, Manolis Zampetakis
2024	J	`jnl`	Characterizations of Language Generation With Breadth. CoRR Alkis Kalavasis, Anay Mehrotra, Grigoris Velegkas
2024	A*	`conf`	Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians. FOCS Jane H. Lee, Anay Mehrotra, Manolis Zampetakis
2024	J	`jnl`	Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians. CoRR Jane H. Lee, Anay Mehrotra, Manolis Zampetakis
2024	A*	`conf`	Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach. ICML Vijay Keswani, Anay Mehrotra, L. Elisa Celis
2024	J	`jnl`	Fair Classification with Partial Feedback: An Exploration-Based Data-Collection Approach. CoRR Vijay Keswani, Anay Mehrotra, L. Elisa Celis
2024	J	`jnl`	On the Limits of Language Generation: Trade-Offs Between Hallucination and Mode Collapse. CoRR Alkis Kalavasis, Anay Mehrotra, Grigoris Velegkas
2024	A*	`conf`	Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract). COLT Alkis Kalavasis, Anay Mehrotra, Manolis Zampetakis
2024	J	`jnl`	Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening. CoRR Alkis Kalavasis, Anay Mehrotra, Manolis Zampetakis
2024	A*	`conf`	Tree of Attacks: Jailbreaking Black-Box LLMs Automatically. NeurIPS Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi
2023	A*	`conf`	Bias in Evaluation Processes: An Optimization-Based Model. NeurIPS L. Elisa Celis, Amit Kumar, Anay Mehrotra, Nisheeth K. Vishnoi
2023	J	`jnl`	Bias in Evaluation Processes: An Optimization-Based Model. CoRR L. Elisa Celis, Amit Kumar, Anay Mehrotra, Nisheeth K. Vishnoi
2023	A*	`conf`	Maximizing Submodular Functions for Recommendation in the Presence of Biases. WWW Anay Mehrotra, Nisheeth K. Vishnoi
2023	J	`jnl`	Maximizing Submodular Functions for Recommendation in the Presence of Biases. CoRR Anay Mehrotra, Nisheeth K. Vishnoi
2023	C	`conf`	Sampling Individually-Fair Rankings that are Always Group Fair. AIES Sruthi Gorantla, Anay Mehrotra, Amit Deshpande, Anand Louis
2023	J	`jnl`	Sampling Individually-Fair Rankings that are Always Group Fair. CoRR Sruthi Gorantla, Anay Mehrotra, Amit Deshpande, Anand Louis
2023	A*	`conf`	Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions. ICML Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi
2023	J	`jnl`	Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions. CoRR Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi
2023	J	`jnl`	Tree of Attacks: Jailbreaking Black-Box LLMs Automatically. CoRR Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi
2022	A*	`conf`	Fair Ranking with Noisy Protected Attributes. NeurIPS Anay Mehrotra, Nisheeth K. Vishnoi
2022	J	`jnl`	Fair Ranking with Noisy Protected Attributes. CoRR Anay Mehrotra, Nisheeth K. Vishnoi
2022	—	`conf`	Fairness for AUC via Feature Augmentation. FAccT Hortense Fong, Vineet Kumar, Anay Mehrotra, Nisheeth K. Vishnoi
2022	J	`jnl`	Revisiting Group Fairness Metrics: The Effect of Networks. Proc. ACM Hum. Comput. Interact. Anay Mehrotra, Jeff Sachs, L. Elisa Celis
2022	—	`conf`	Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints. FAccT Anay Mehrotra, Bary S. R. Pradelski, Nisheeth K. Vishnoi
2022	J	`jnl`	Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints. CoRR Anay Mehrotra, Bary S. R. Pradelski, Nisheeth K. Vishnoi
2021	A*	`conf`	Fair Classification with Adversarial Perturbations. NeurIPS L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
2021	J	`jnl`	Fair Classification with Adversarial Perturbations. CoRR L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
2021	J	`jnl`	Fairness for AUC via Feature Augmentation. CoRR Hortense Fong, Vineet Kumar, Anay Mehrotra, Nisheeth K. Vishnoi
2021	J	`jnl`	Input Validation with Symbolic Execution. CoRR Anay Mehrotra, Ayush Bansal, Awanish Pandey, Subhajit Roy
2021	—	`conf`	Mitigating Bias in Set Selection with Noisy Protected Attributes. FAccT Anay Mehrotra, L. Elisa Celis
2021	—	`conf`	The Effect of the Rooney Rule on Implicit Bias in the Long Term. FAccT L. Elisa Celis, Chris Hays, Anay Mehrotra, Nisheeth K. Vishnoi
2020	J	`jnl`	Interventions for Ranking in the Presence of Implicit Bias. CoRR L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
2020	—	`conf`	Interventions for ranking in the presence of implicit bias. FAT* L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
2020	J	`jnl`	Mitigating Bias in Set Selection with Noisy Protected Attributes. CoRR Anay Mehrotra, L. Elisa Celis
2020	J	`jnl`	The Effect of the Rooney Rule on Implicit Bias in the Long Term. CoRR L. Elisa Celis, Chris Hays, Anay Mehrotra, Nisheeth K. Vishnoi
2019	J	`jnl`	Fair Online Advertising. CoRR L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
2019	A*	`conf`	Toward Controlling Discrimination in Online Ad Auctions. ICML L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi