Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization. - Andi Nika; Sepehr Elahi; Cem Tekin (AISTATS, 2020)

Pareto Active Learning with Gaussian Processes and Adaptive Discretization. - Andi Nika; Kerem Bozgan; Çagin Ararat; Cem Tekin (CoRR, 2020)

Contextual Combinatorial Volatile Bandits via Gaussian Processes. - Andi Nika; Sepehr Elahi; Cem Tekin (CoRR, 2021)

Multi-User Small Base Station Association via Contextual Combinatorial Volatile Bandits. - Muhammad Anjum Qureshi; Andi Nika; Cem Tekin (IEEE Trans. Commun., 2021)

Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning. - Andi Nika; Adish Singla; Goran Radanovic (AISTATS, 2023)

Online Context-Aware Task Assignment in Mobile Crowdsourcing via Adaptive Discretization. - Sepehr Elahi; Andi Nika; Cem Tekin (IEEE Trans. Netw. Sci. Eng., 2023)

Corruption-Robust Offline Two-Player Zero-Sum Markov Games. - Andi Nika; Debmalya Mandal; Adish Singla; Goran Radanovic (AISTATS, 2024)

Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. - Andi Nika; Debmalya Mandal; Parameswaran Kamalaruban; Georgios Tzannetos; Goran Radanovic; Adish Singla (ICML, 2024)

Defending Against Unknown Corrupted Agents: Reinforcement Learning of Adversarially Robust Nash Equilibria. - Andi Nika; Jonathan Nöther; Adish Singla; Goran Radanovic (Trans. Mach. Learn. Res., 2024)

Corruption Robust Offline Reinforcement Learning with Human Feedback. - Debmalya Mandal; Andi Nika; Parameswaran Kamalaruban; Adish Singla; Goran Radanovic (AISTATS, 2025)

Policy Teaching via Data Poisoning in Learning from Human Preferences. - Andi Nika; Jonathan Nöther; Debmalya Mandal; Parameswaran Kamalaruban; Adish Singla; Goran Radanovic (AISTATS, 2025)