Adhyyan Narang

16 papers A* 4A 2Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing.
CoRR
Adhyyan Narang, Sarah Dean, Lillian J. Ratliff, Maryam Fazel
2025 A* conf
On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback.
ICLR
Marcus Williams, Micah Carroll, Adhyyan Narang, Constantin Weisser, Brendan Murphy, Anca D. Dragan
2024 A conf
Efficient Interactive Maximization of BP and Weakly Submodular Objectives.
UAI
Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes
2024 J jnl
On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback.
CoRR
Marcus Williams, Micah Carroll, Adhyyan Narang, Constantin Weisser, Brendan Murphy, Anca D. Dragan
2024 A* conf
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning.
NeurIPS
Adhyyan Narang, Andrew Wagenmaker, Lillian J. Ratliff, Kevin Jamieson
2024 J jnl
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning.
CoRR
Adhyyan Narang, Andrew Wagenmaker, Lillian J. Ratliff, Kevin Jamieson
2023 J jnl
Multiplayer Performative Prediction: Learning in Decision-Dependent Games.
J. Mach. Learn. Res.
Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
2022 J jnl
Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity.
CoRR
Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes
2022 A conf
Learning in Stochastic Monotone Games with Decision-Dependent Data.
AISTATS
Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
2022 J jnl
Multiplayer Performative Prediction: Learning in Decision-Dependent Games.
CoRR
Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
2022 J jnl
Towards Sample-efficient Overparameterized Meta-learning.
CoRR
Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel
2021 J jnl
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective.
CoRR
Adhyyan Narang, Vidya Muthukumar, Anant Sahai
2021 J jnl
Classification vs regression in overparameterized regimes: Does the loss function matter?
J. Mach. Learn. Res.
Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel Hsu, Anant Sahai
2021 A* conf
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games.
NeurIPS
Tanner Fiez, Lillian J. Ratliff, Eric Mazumdar, Evan Faulkner, Adhyyan Narang
2021 A* conf
Towards Sample-efficient Overparameterized Meta-learning.
NeurIPS
Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel
2020 J jnl
Classification vs regression in overparameterized regimes: Does the loss function matter?
CoRR
Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel J. Hsu, Anant Sahai