Adish Singla

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 147

Top Venues

Publications

Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. CoRR (2024)
Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic
Corruption-Robust Offline Two-Player Zero-Sum Markov Games. AISTATS (2024)
Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. CoRR (2024)
Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic
Corruption-Robust Offline Two-Player Zero-Sum Markov Games. CoRR (2024)
Ahana Ghosh, Liina Malva, Adish Singla
Analyzing-Evaluating-Creating: Assessing Computational Thinking and Problem Solving in Visual Programming Domains. SIGCSE (1) (2024)
Ahana Ghosh, Liina Malva, Adish Singla
Analyzing-Evaluating-Creating: Assessing Computational Thinking and Problem Solving in Visual Programming Domains. CoRR (2024)
Victor-Alexandru Padurean, Georgios Tzannetos, Adish Singla
Neural Task Synthesis for Visual Programming. Trans. Mach. Learn. Res. 2024 (2024)
Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. LAK (2024)
Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
Corruption Robust Offline Reinforcement Learning with Human Feedback. CoRR (2024)
Victor-Alexandru Padurean, Adish Singla
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming. CoRR (2024)
Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla
Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. CoRR (2024)
Chao Wen, Ahana Ghosh, Jacqueline Staub, Adish Singla
Task Synthesis for Elementary Visual Programming in XLogoOnline Environment. CoRR (2024)
Chao Wen, Ahana Ghosh, Jacqueline Staub, Adish Singla
Task Synthesis for Elementary Visual Programming in XLogoOnline Environment. AIED Companion (2) (2024)
Chao Wen, Jacqueline Staub, Adish Singla
Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment. CoRR (2024)
Nachiket Kotalwar, Alkis Gotovos, Adish Singla
Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation. CoRR (2024)
Bahar Radmehr, Adish Singla, Tanja Käser
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs. CoRR (2024)
Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Informativeness of Reward Functions in Reinforcement Learning. AAMAS (2024)
Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Informativeness of Reward Functions in Reinforcement Learning. CoRR (2024)
Adish Singla
Evaluating ChatGPT and GPT-4 for Visual Programming. CoRR (2023)
Tung Phung, Victor-Alexandru Padurean, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors. CoRR (2023)
Andi Nika, Adish Singla, Goran Radanovic
Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning. AISTATS (2023)
Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
On the Fairness of Time-Critical Influence Maximization in Social Networks. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Maria Christakis, Hasan Ferit Eniser, Jörg Hoffmann, Adish Singla, Valentin Wüstholz
Specifying and Testing k-Safety Properties for Machine-Learning Models. IJCAI (2023)
Kiarash Banihashem, Adish Singla, Goran Radanovic
Defense Against Reward Poisoning Attacks in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla
Proximal Curriculum for Reinforcement Learning Agents. Trans. Mach. Learn. Res. 2023 (2023)
Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal, Adish Singla, Goran Radanovic
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks. AAMAS (2023)
Shubham Kumar Bharti, Stephen Wright, Adish Singla, Xiaojin Zhu
Optimally Teaching a Linear Behavior Cloning Agent. CoRR (2023)
Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar
Online Reinforcement Learning with Uncertain Episode Lengths. CoRR (2023)
Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla
Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming from One-Shot Observation. CoRR (2023)
Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar
Online Reinforcement Learning with Uncertain Episode Lengths. AAAI (2023)
Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla
Learning Embeddings for Sequential Tasks Using Population of Agents. CoRR (2023)
Tung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models. EDM (2023)
Timo Klein, Susanna Weinberger, Adish Singla, Sebastian Tschiatschek
Active Third-Person Imitation Learning. CoRR (2023)
Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla
Proximal Curriculum for Reinforcement Learning Agents. CoRR (2023)
Ahana Ghosh, Sebastian Tschiatschek, Sam Devlin, Adish Singla
Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes. CoRR (2023)
Victor-Alexandru Padurean, Georgios Tzannetos, Adish Singla
Neural Task Synthesis for Visual Programming. CoRR (2023)
Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal, Adish Singla, Goran Radanovic
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks. CoRR (2023)
Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. CoRR (2023)
Alperen Tercan, Ahana Ghosh, Hasan Ferit Eniser, Maria Christakis, Adish Singla
Synthesizing a Progression of Subtasks for Block-Based Visual Programming Tasks. CoRR (2023)
Tung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models. CoRR (2023)
Shubham Kumar Bharti, Xuezhou Zhang, Adish Singla, Xiaojin Zhu
Provable Defense against Backdoor Policies in Reinforcement Learning. CoRR (2022)
Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla
Bayesian Persuasion in Sequential Decision-Making. AAAI (2022)
Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards. NeurIPS (2022)
Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez Rodriguez
Learning to Switch Among Agents in a Team. Trans. Mach. Learn. Res. 2022 (2022)
Shubham Kumar Bharti, Xuezhou Zhang, Adish Singla, Jerry Zhu
Provable Defense against Backdoor Policies in Reinforcement Learning. NeurIPS (2022)
Adish Singla, Nikitas Theodoropoulos
From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming Tasks. CoRR (2022)
Adish Singla, Nikitas Theodoropoulos
From Solution Synthesis to Student Attempt Synthesis for Block-Based Visual Programming Tasks. EDM (2022)
Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla
Sequential Decision Making With Information Asymmetry (Invited Talk). CONCUR (2022)
Ahana Ghosh, Sebastian Tschiatschek, Sam Devlin, Adish Singla
Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes. AIED (1) (2022)
Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic
Admissible Policy Teaching through Reward Design. AAAI (2022)
Maria Christakis, Hasan Ferit Eniser, Jörg Hoffmann, Adish Singla, Valentin Wüstholz
Specifying and Testing k-Safety Properties for Machine-Learning Models. CoRR (2022)
Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract). ICDE (2022)
Stelios Triantafyllou, Adish Singla, Goran Radanovic
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes. AIES (2022)
Adish Singla
Evaluating ChatGPT and GPT-4 for Visual Programming. ICER (2) (2022)
Sebastian Tschiatschek, Maria Knobelsdorf, Adish Singla
Equity and Fairness of Bayesian Knowledge Tracing. EDM (2022)
Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic
Admissible Policy Teaching through Reward Design. CoRR (2022)
Sebastian Tschiatschek, Maria Knobelsdorf, Adish Singla
Equity and Fairness of Bayesian Knowledge Tracing. CoRR (2022)
Stelios Triantafyllou, Adish Singla, Goran Radanovic
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes. CoRR (2022)
Jiarui Gan, Rupak Majumdar, Adish Singla, Goran Radanovic
Envy-free Policy Teaching to Multiple Agents. NeurIPS (2022)
Tung Phung, Victor-Alexandru Padurean, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors. ICER (2) (2022)
Farnam Mansouri, Hans Simon, Adish Singla, Sandra Zilles
On Batch Teaching with Sample Complexity Bounded by VCD. NeurIPS (2022)
Amin Rakhsha, Xuezhou Zhang, Xiaojin Zhu, Adish Singla
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments. CoRR (2021)
Chaoqi Wang, Adish Singla, Yuxin Chen
Teaching an Active Learner with Contrastive Examples. CoRR (2021)
Akash Kumar, Yuxin Chen, Adish Singla
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm. NeurIPS (2021)
Adish Singla, Anna N. Rafferty, Goran Radanovic, Neil T. Heffernan
Reinforcement Learning for Education: Opportunities and Challenges. CoRR (2021)
Stelios Triantafyllou, Adish Singla, Goran Radanovic
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making. CoRR (2021)
Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Curriculum Design for Teaching via Demonstrations: Theory and Applications. NeurIPS (2021)
Stelios Triantafyllou, Adish Singla, Goran Radanovic
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making. NeurIPS (2021)
Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen
The Teaching Dimension of Kernel Perceptron. AISTATS (2021)
Chaoqi Wang, Adish Singla, Yuxin Chen
Teaching an Active Learner with Contrastive Examples. NeurIPS (2021)
Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla
Bayesian Persuasion in Sequential Decision-Making. CoRR (2021)
Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Curriculum Design for Teaching via Demonstrations: Theory and Applications. CoRR (2021)
Eleni Straitouri, Adish Singla, Vahid Balazadeh Meresht, Manuel Gomez-Rodriguez
Reinforcement Learning Under Algorithmic Triage. CoRR (2021)
Anshuman Chhabra, Adish Singla, Prasant Mohapatra
Fair Clustering Using Antidote Data. CoRR (2021)
Anshuman Chhabra, Adish Singla, Prasant Mohapatra
Fairness Degrading Adversarial Attacks Against Clustering Algorithms. CoRR (2021)
Kiarash Banihashem, Adish Singla, Goran Radanovic
Defense Against Reward Poisoning Attacks in Reinforcement Learning. CoRR (2021)
Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu
The Sample Complexity of Teaching by Reinforcement on Q-Learning. AAAI (2021)
Anshuman Chhabra, Adish Singla, Prasant Mohapatra
Fair Clustering Using Antidote Data. AFCR (2021)
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. J. Mach. Learn. Res. 22 (2021)
Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla
Explicable Reward Design for Reinforcement Learning Agents. NeurIPS (2021)
Joy He-Yueya, Adish Singla
Quizzing Policy Using Reinforcement Learning for Inferring the Student Knowledge State. EDM (2021)
Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi
Loss-Aversively Fair Classification. CoRR (2021)
Umair Z. Ahmed, Maria Christakis, Aleksandr Efremov, Nigel Fernandez, Ahana Ghosh, Abhik Roychoudhury, Adish Singla
Synthesizing Tasks for Block-based Programming. NeurIPS (2020)
Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. CoRR (2020)
Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla
Preference-Based Batch and Sequential Teaching. CoRR (2020)
Xuezhou Zhang, Yuzhe Ma, Adish Singla
Task-agnostic Exploration in Reinforcement Learning. CoRR (2020)
Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu
Adaptive Reward-Poisoning Attacks against Reinforcement Learning. ICML (2020)
Xuezhou Zhang, Yuzhe Ma, Adish Singla
Task-agnostic Exploration in Reinforcement Learning. NeurIPS (2020)
Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. IJCAI (2020)
Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen
The Teaching Dimension of Kernel Perceptron. CoRR (2020)
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. CoRR (2020)
Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu
Adaptive Reward-Poisoning Attacks against Reinforcement Learning. CoRR (2020)
Akash Kumar, Adish Singla, Yisong Yue, Yuxin Chen
Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries. CoRR (2020)
Ahana Ghosh, Sebastian Tschiatschek, Hamed Mahdavi, Adish Singla
Towards Deployment of Robust Cooperative AI Agents: An Algorithmic Framework for Learning Adaptive Policies. AAMAS (2020)
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. CoRR (2020)
Umair Z. Ahmed, Maria Christakis, Aleksandr Efremov, Nigel Fernandez, Ahana Ghosh, Abhik Roychoudhury, Adish Singla
Synthesizing Tasks for Block-based Programming. CoRR (2020)
Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
Environment Shaping in Reinforcement Learning using State Abstraction. CoRR (2020)
Aleksandr Efremov, Ahana Ghosh, Adish Singla
Zero-shot Learning of Hint Policy via Reinforcement Learning and Program Synthesis. EDM (2020)
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. ICML (2020)
Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu
The Teaching Dimension of Q-learning. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Adish Singla