Singla, Adish

64 publications

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

NeurIPS 2025 Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla

NeurIPS 2025 Formal Models of Active Learning from Contrastive Examples Farnam Mansouri, Hans U. Simon, Adish Singla, Yuxin Chen, Sandra Zilles

NeurIPS 2025 Inference-Time Personalized Alignment with a Few User Preference Queries Victor-Alexandru Pădurean, Parameswaran Kamalaruban, Nachiket Kotalwar, Alkis Gotovos, Adish Singla

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

AAAI 2025 Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints Jonathan Nöther, Adish Singla, Goran Radanovic

NeurIPS 2024 Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming Victor-Alexandru Pădurean, Adish Singla

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

TMLR 2024 Defending Against Unknown Corrupted Agents: Reinforcement Learning of Adversarially Robust Nash Equilibria Andi Nika, Jonathan Nöther, Adish Singla, Goran Radanovic

ICMLW 2024 Defending Against Unknown Corrupted Agents: Reinforcement Learning of Adversarially Robust Nash Equilibria Andi Nika, Jonathan Nöther, Adish Singla, Goran Radanovic

NeurIPS 2024 Hints-in-Browser: Benchmarking Language Models for Programming Feedback Generation Nachiket Kotalwar, Alkis Gotovos, Adish Singla

IJCAI 2024 Learning Embeddings for Sequential Tasks Using Population of Agents Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla

TMLR 2024 Neural Task Synthesis for Visual Programming Victor-Alexandru Pădurean, Georgios Tzannetos, Adish Singla

NeurIPS 2024 On the Complexity of Teaching a Family of Linear Behavior Cloning Learners Shubham Bharti, Stephen Wright, Adish Singla, Xiaojin Zhu

IJCAI 2024 Proximal Curriculum with Task Correlations for Deep Reinforcement Learning Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla

ICML 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

NeurIPSW 2024 Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints Jonathan Nöther, Adish Singla, Goran Radanovic

TMLR 2023 Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem, Adish Singla, Goran Radanovic

ICMLW 2023 Iterative Machine Teaching for Black-Box Markov Learners Chaoqi Wang, Sandra Zilles, Adish Singla, Yuxin Chen

AISTATS 2023 Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning Andi Nika, Adish Singla, Goran Radanovic

AAAI 2023 Online Reinforcement Learning with Uncertain Episode Lengths Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar

TMLR 2023 Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla

IJCAI 2023 Specifying and Testing K-Safety Properties for Machine-Learning Models Maria Christakis, Hasan Ferit Eniser, Jörg Hoffmann, Adish Singla, Valentin Wüstholz

AAAI 2022 Admissible Policy Teaching Through Reward Design Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic

AAAI 2022 Bayesian Persuasion in Sequential Decision-Making Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla

NeurIPS 2022 Envy-Free Policy Teaching to Multiple Agents Jiarui Gan, R Majumdar, Adish Singla, Goran Radanovic

NeurIPS 2022 Exploration-Guided Reward Shaping for Reinforcement Learning Under Sparse Rewards Rati Devidze, Parameswaran Kamalaruban, Adish Singla

TMLR 2022 Learning to Switch Among Agents in a Team via 2-Layer Markov Decision Processes Vahid Balazadeh, Abir De, Adish Singla, Manuel Gomez Rodriguez

NeurIPS 2022 On Batch Teaching with Sample Complexity Bounded by VCD Farnam Mansouri, Hans Simon, Adish Singla, Sandra Zilles

NeurIPS 2022 Provable Defense Against Backdoor Policies in Reinforcement Learning Shubham Bharti, Xuezhou Zhang, Adish Singla, Xiaojin Zhu

AISTATS 2021 The Teaching Dimension of Kernel Perceptron Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen

NeurIPS 2021 Curriculum Design for Teaching via Demonstrations: Theory and Applications Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla

NeurIPS 2021 Explicable Reward Design for Reinforcement Learning Agents Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla

NeurIPS 2021 On Blame Attribution for Accountable Multi-Agent Sequential Decision Making Stelios Triantafyllou, Adish Singla, Goran Radanovic

JMLR 2021 Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

NeurIPS 2021 Teaching an Active Learner with Contrastive Examples Chaoqi Wang, Adish Singla, Yuxin Chen

NeurIPS 2021 Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm Akash Kumar, Yuxin Chen, Adish Singla

AAAI 2021 The Sample Complexity of Teaching by Reinforcement on Q-Learning Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu

ICML 2020 Adaptive Reward-Poisoning Attacks Against Reinforcement Learning Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu

ICML 2020 Policy Teaching via Environment Poisoning: Training-Time Adversarial Attacks Against Reinforcement Learning Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

NeurIPS 2020 Synthesizing Tasks for Block-Based Programming Umair Ahmed, Maria Christakis, Aleksandr Efremov, Nigel Fernandez, Ahana Ghosh, Abhik Roychoudhury, Adish Singla

NeurIPS 2020 Task-Agnostic Exploration in Reinforcement Learning Xuezhou Zhang, Yuzhe Ma, Adish Singla

IJCAI 2020 Understanding the Power and Limitations of Teaching with Imperfect Knowledge Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla

ICML 2019 Efficient Learning of Smooth Probability Functions from Bernoulli Tests with Guarantees Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher

IJCAI 2019 Interactive Teaching Algorithms for Inverse Reinforcement Learning Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla

AAAI 2019 Iterative Classroom Teaching Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher

NeurIPS 2019 Learner-Aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla

ICML 2019 Learning to Collaborate in Markov Decision Processes Goran Radanovic, Rati Devidze, David Parkes, Adish Singla

NeurIPS 2019 Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla

NeurIPS 2019 Teaching Multiple Concepts to a Forgetful Learner Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla

NeurIPS 2018 Enhancing the Accuracy and Fairness of Human Decision Making Isabel Valera, Adish Singla, Manuel Gomez Rodriguez

AAAI 2018 Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings

AAAI 2018 Learning User Preferences to Incentivize Exploration in the Sharing Economy Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause

AAAI 2018 Learning to Interact with Learning Agents Adish Singla, Seyed Hamed Hassani, Andreas Krause

NeurIPS 2018 Teaching Inverse Reinforcement Learners via Features and Demonstrations Luis Haug, Sebastian Tschiatschek, Adish Singla

NeurIPS 2018 Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue

AAAI 2017 Selecting Sequences of Items via Submodular Maximization Sebastian Tschiatschek, Adish Singla, Andreas Krause

ICML 2016 Actively Learning Hemimetrics with Applications to Eliciting User Preferences Adish Singla, Sebastian Tschiatschek, Andreas Krause

AAAI 2016 Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization Adish Singla, Sebastian Tschiatschek, Andreas Krause

IJCAI 2015 Building Hierarchies of Concepts via Crowdsourcing Yuyin Sun, Adish Singla, Dieter Fox, Andreas Krause

AAAI 2015 Incentivizing Users for Balancing Bike Sharing Systems Adish Singla, Marco Santoni, Gábor Bartók, Pratik Mukerji, Moritz Meenen, Andreas Krause

IJCAI 2015 Information Gathering in Networks via Active Exploration Adish Singla, Eric Horvitz, Pushmeet Kohli, Ryen White, Andreas Krause

ICML 2014 Near-Optimally Teaching the Crowd to Classify Adish Singla, Ilija Bogunovic, Gabor Bartok, Amin Karbasi, Andreas Krause

AAAI 2014 Stochastic Privacy Adish Singla, Eric Horvitz, Ece Kamar, Ryen White