Adish Singla - RankMe

231 papers A* 57A 12B 18C 2Journal 122Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Closing the Loop: An Instructor-in-the-Loop AI Assistance System for Supporting Student Help-Seeking in Programming Education. SIGCSE (1) Tung Phung, Heeryung Choi, Mengyan Wu, Christopher Brooks, Sumit Gulwani, Adish Singla
2026	J	`jnl`	Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback. CoRR Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2026	—	`ed.`	Informatics in Schools. Fostering Problem-Solving, Creativity, and Critical Thinking Through Computer Science Education - 18th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2025, Trier, Germany, September 8-10, 2025, Proceedings ISSEP Jacqueline Staub, Adish Singla
2026	J	`jnl`	Learning Half-Spaces from Perturbed Contrastive Examples. CoRR Aryan Alavi Razavi Ravari, Farnam Mansouri, Yuxin Chen, Valentio Iverson, Adish Singla, Sandra Zilles
2026	J	`jnl`	MaMa: A Game-Theoretic Approach for Designing Safe Agentic Systems. CoRR Jonathan Nöther, Adish Singla, Goran Radanovic
2025	J	`jnl`	Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harms. CoRR Jonathan Nöther, Adish Singla, Goran Radanovic
2025	J	`jnl`	Bridging Gaps Between Student and Expert Evaluations of AI-Generated Programming Hints. CoRR Tung Phung, Mengyan Wu, Heeryung Choi, Gustavo Soares, Sumit Gulwani, Adish Singla, Christopher Brooks
2025	—	`conf`	BugSpotter: Automated Generation of Code Debugging Exercises. SIGCSE (1) Victor-Alexandru Padurean, Paul Denny, Adish Singla
2025	J	`jnl`	ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs. CoRR Bahar Radmehr, Ekaterina Shved, Fatma Betül Güres, Adish Singla, Tanja Käser
2025	J	`jnl`	Closing the Loop: An Instructor-in-the-Loop AI Assistance System for Supporting Student Help-Seeking in Programming Education. CoRR Tung Phung, Heeryung Choi, Mengyan Wu, Christopher Brooks, Sumit Gulwani, Adish Singla
2025	A	`conf`	Corruption Robust Offline Reinforcement Learning with Human Feedback. AISTATS Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2025	J	`jnl`	Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs. CoRR Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
2025	J	`jnl`	Divergent-Convergent Thinking in Large Language Models for Creative Problem Generation. CoRR Manh Hung Nguyen, Adish Singla
2025	J	`jnl`	Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models. CoRR Chao Wen, Tung Phung, Pronita Mehrotra, Sumit Gulwani, Tomohiro Nagashima, Adish Singla
2025	—	`conf`	Exploring the Impact of Quizzes Interleaved with Write-Code Tasks in Elementary-Level Visual Programming. SIGCSE (1) Ahana Ghosh, Liina Malva, Alkis Gotovos, Danial Hooshyar, Adish Singla
2025	J	`jnl`	Formal Models of Active Learning from Contrastive Examples. CoRR Farnam Mansouri, Hans Ulrich Simon, Adish Singla, Yuxin Chen, Sandra Zilles
2025	A*	`conf`	Hints Help Finding and Fixing Bugs Differently in Python and Text-Based Program Representations. ICSE Ruchit Rawal, Victor-Alexandru Padurean, Sven Apel, Adish Singla, Mariya Toneva
2025	B	`conf`	Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback. EDM Victor-Alexandru Padurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla
2025	J	`jnl`	Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback. CoRR Victor-Alexandru Padurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla
2025	J	`jnl`	Inference-Time Personalized Alignment with a Few User Preference Queries. CoRR Victor-Alexandru Padurean, Parameswaran Kamalaruban, Nachiket Kotalwar, Alkis Gotovos, Adish Singla
2025	J	`jnl`	Interleaving Natural Language Prompting with Code Editing for Solving Programming Tasks with Generative AI Models. CoRR Victor-Alexandru Padurean, Paul Denny, Andrew Luxton-Reilly, Alkis Gotovos, Adish Singla
2025	—	`conf`	Partnering with AI: A Pedagogical Feedback System for LLM Integration Into Programming Education. EC-TEL (2) Niklas Scholz, Manh Hung Nguyen, Adish Singla, Tomohiro Nagashima
2025	J	`jnl`	Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education. CoRR Niklas Scholz, Manh Hung Nguyen, Adish Singla, Tomohiro Nagashima
2025	—	`conf`	Plan More, Debug Less: Applying Metacognitive Theory to AI-Assisted Programming Education. AIED (1) Tung Phung, Heeryung Choi, Mengyan Wu, Adish Singla, Christopher Brooks
2025	J	`jnl`	Plan More, Debug Less: Applying Metacognitive Theory to AI-Assisted Programming Education. CoRR Tung Phung, Heeryung Choi, Mengyan Wu, Adish Singla, Christopher Brooks
2025	A	`conf`	Policy Teaching via Data Poisoning in Learning from Human Preferences. AISTATS Andi Nika, Jonathan Nöther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2025	J	`jnl`	Policy Teaching via Data Poisoning in Learning from Human Preferences. CoRR Andi Nika, Jonathan Nöther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2025	J	`jnl`	Pragmatic Reasoning improves LLM Code Generation. CoRR Zhuchen Cao, Sven Apel, Adish Singla, Vera Demberg
2025	—	`conf`	Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment. ACL (1) Chao Wen, Jacqueline Staub, Adish Singla
2025	J	`jnl`	Prompt Optimization Across Multiple Agents for Representing Diverse Human Populations. CoRR Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla
2025	—	`conf`	Prompt Programming: A Platform for Dialogue-based Computational Problem Solving with Generative AI Models. ITiCSE (1) Victor-Alexandru Padurean, Paul Denny, Alkis Gotovos, Adish Singla
2025	J	`jnl`	Prompt Programming: A Platform for Dialogue-based Computational Problem Solving with Generative AI Models. CoRR Victor-Alexandru Padurean, Paul Denny, Alkis Gotovos, Adish Singla
2025	J	`jnl`	Reflection-Satisfaction Tradeoff: Investigating Impact of Reflection on Student Engagement with AI-Generated Programming Hints. CoRR Heeryung Choi, Tung Phung, Mengyan Wu, Adish Singla, Christopher Brooks
2025	—	`conf`	Synthesizing High-Quality Programming Tasks with LLM-Based Expert and Student Agents. AIED (1) Manh Hung Nguyen, Victor-Alexandru Padurean, Alkis Gotovos, Sebastian Tschiatschek, Adish Singla
2025	J	`jnl`	Synthesizing High-Quality Programming Tasks with LLM-based Expert and Student Agents. CoRR Manh Hung Nguyen, Victor-Alexandru Padurean, Alkis Gotovos, Sebastian Tschiatschek, Adish Singla
2025	A*	`conf`	Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints. AAAI Jonathan Nöther, Adish Singla, Goran Radanovic
2025	J	`jnl`	Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints. CoRR Jonathan Nöther, Adish Singla, Goran Radanovic
2025	J	`jnl`	The Right Kind of Help: Evaluating the Effectiveness of Intervention Methods in Elementary-Level Visual Programming. CoRR Ahana Ghosh, Liina Malva, Alkis Gotovos, Danial Hooshyar, Adish Singla
2024	—	`conf`	Analyzing-Evaluating-Creating: Assessing Computational Thinking and Problem Solving in Visual Programming Domains. SIGCSE (1) Ahana Ghosh, Liina Malva, Adish Singla
2024	J	`jnl`	Analyzing-Evaluating-Creating: Assessing Computational Thinking and Problem Solving in Visual Programming Domains. CoRR Ahana Ghosh, Liina Malva, Adish Singla
2024	A	`conf`	Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. LAK Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares
2024	A*	`conf`	Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming. NeurIPS Victor-Alexandru Padurean, Adish Singla
2024	J	`jnl`	Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming. CoRR Victor-Alexandru Padurean, Adish Singla
2024	J	`jnl`	BugSpotter: Automated Generation of Code Debugging Exercises. CoRR Victor-Alexandru Padurean, Paul Denny, Adish Singla
2024	J	`jnl`	Corruption Robust Offline Reinforcement Learning with Human Feedback. CoRR Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2024	A	`conf`	Corruption-Robust Offline Two-Player Zero-Sum Markov Games. AISTATS Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic
2024	J	`jnl`	Corruption-Robust Offline Two-Player Zero-Sum Markov Games. CoRR Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic
2024	J	`jnl`	Defending Against Unknown Corrupted Agents: Reinforcement Learning of Adversarially Robust Nash Equilibria. Trans. Mach. Learn. Res. Andi Nika, Jonathan Nöther, Adish Singla, Goran Radanovic
2024	J	`jnl`	Exploring the Impact of Quizzes Interleaved with Write-Code Tasks in Elementary-Level Visual Programming. CoRR Ahana Ghosh, Liina Malva, Alkis Gotovos, Danial Hooshyar, Adish Singla
2024	J	`jnl`	Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. CoRR Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla
2024	J	`jnl`	Hints Help Finding and Fixing Bugs Differently in Python and Text-based Program Representations. CoRR Ruchit Rawal, Victor-Alexandru Padurean, Sven Apel, Adish Singla, Mariya Toneva
2024	A*	`conf`	Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation. NeurIPS Nachiket Kotalwar, Alkis Gotovos, Adish Singla
2024	J	`jnl`	Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation. CoRR Nachiket Kotalwar, Alkis Gotovos, Adish Singla
2024	A	`conf`	Informativeness of Reward Functions in Reinforcement Learning. AAMAS Rati Devidze, Parameswaran Kamalaruban, Adish Singla
2024	J	`jnl`	Informativeness of Reward Functions in Reinforcement Learning. CoRR Rati Devidze, Parameswaran Kamalaruban, Adish Singla
2024	—	`ed.`	Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), Atlanta, Georgia, USA, July 14, 2024. HEXED/L3MNGET@EDM Juan D. Pinto, Eamon Worden, Anthony Botelho, Lea Cohausz, Clayton Cohn, Mingyu Feng, Neil T. Heffernan, Arto Hellas, Lan Jiang, David Joyner, Tanja Käser, Juho Kim, Andrew S. Lan, Chenglu Li, Joshua Littenberg-Tobias, Qianhui Liu, Christopher MacLellan, Steven Moore, Maciej Pankiewicz, Luc Paquette, Zach A. Pardos, Anna N. Rafferty, Adish Singla, Shashank Sonkar, Vinitra Swamy, Rose E. Wang, Candace A. Walkington
2024	B	`conf`	Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming. EDM Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla
2024	A*	`conf`	Learning Embeddings for Sequential Tasks Using Population of Agents. IJCAI Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla
2024	B	`conf`	Leveraging Large Language Models for Next-Generation Educational Technologies. EDM Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace A. Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew S. Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden
2024	J	`jnl`	Neural Task Synthesis for Visual Programming. Trans. Mach. Learn. Res. Victor-Alexandru Padurean, Georgios Tzannetos, Adish Singla
2024	A*	`conf`	On the Complexity of Teaching a Family of Linear Behavior Cloning Learners. NeurIPS Shubham Kumar Bharti, Stephen Wright, Adish Singla, Xiaojin (Jerry) Zhu
2024	J	`jnl`	Optimal Decision Making Under Strategic Behavior. Manag. Sci. Stratis Tsirtsis, Behzad Tabibian, Moein Khajehnejad, Adish Singla, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2024	J	`jnl`	Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment. CoRR Chao Wen, Jacqueline Staub, Adish Singla
2024	A*	`conf`	Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. IJCAI Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
2024	J	`jnl`	Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. CoRR Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
2024	A*	`conf`	Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. ICML Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla
2024	J	`jnl`	Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. CoRR Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla
2024	—	`conf`	Task Synthesis for Elementary Visual Programming in XLogoOnline Environment. AIED Companion (2) Chao Wen, Ahana Ghosh, Jacqueline Staub, Adish Singla
2024	J	`jnl`	Task Synthesis for Elementary Visual Programming in XLogoOnline Environment. CoRR Chao Wen, Ahana Ghosh, Jacqueline Staub, Adish Singla
2024	B	`conf`	Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs. EDM Bahar Radmehr, Adish Singla, Tanja Käser
2024	J	`jnl`	Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs. CoRR Bahar Radmehr, Adish Singla, Tanja Käser
2023	J	`jnl`	Active Third-Person Imitation Learning. CoRR Timo Klein, Susanna Weinberger, Adish Singla, Sebastian Tschiatschek
2023	J	`jnl`	Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes. CoRR Ahana Ghosh, Sebastian Tschiatschek, Sam Devlin, Adish Singla
2023	J	`jnl`	Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. CoRR Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares
2023	J	`jnl`	Defense Against Reward Poisoning Attacks in Reinforcement Learning. Trans. Mach. Learn. Res. Kiarash Banihashem, Adish Singla, Goran Radanovic
2023	—	`conf`	Evaluating ChatGPT and GPT-4 for Visual Programming. ICER (2) Adish Singla
2023	J	`jnl`	Evaluating ChatGPT and GPT-4 for Visual Programming. CoRR Adish Singla
2023	B	`conf`	Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models. EDM Tung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
2023	J	`jnl`	Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models. CoRR Tung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
2023	—	`conf`	Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors. ICER (2) Tung Phung, Victor-Alexandru Padurean, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
2023	J	`jnl`	Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors. CoRR Tung Phung, Victor-Alexandru Padurean, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
2023	A	`conf`	Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks. AAMAS Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal, Adish Singla, Goran Radanovic
2023	J	`jnl`	Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks. CoRR Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal, Adish Singla, Goran Radanovic
2023	J	`jnl`	Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming from One-Shot Observation. CoRR Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla
2023	J	`jnl`	Learning Embeddings for Sequential Tasks Using Population of Agents. CoRR Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla
2023	J	`jnl`	Neural Task Synthesis for Visual Programming. CoRR Victor-Alexandru Padurean, Georgios Tzannetos, Adish Singla
2023	J	`jnl`	On the Fairness of Time-Critical Influence Maximization in Social Networks. IEEE Trans. Knowl. Data Eng. Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
2023	A	`conf`	Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning. AISTATS Andi Nika, Adish Singla, Goran Radanovic
2023	A*	`conf`	Online Reinforcement Learning with Uncertain Episode Lengths. AAAI Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar
2023	J	`jnl`	Online Reinforcement Learning with Uncertain Episode Lengths. CoRR Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar
2023	J	`jnl`	Optimally Teaching a Linear Behavior Cloning Agent. CoRR Shubham Kumar Bharti, Stephen Wright, Adish Singla, Xiaojin Zhu
2023	J	`jnl`	Proximal Curriculum for Reinforcement Learning Agents. CoRR Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla
2023	J	`jnl`	Proximal Curriculum for Reinforcement Learning Agents. Trans. Mach. Learn. Res. Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla
2023	A*	`conf`	Specifying and Testing k-Safety Properties for Machine-Learning Models. IJCAI Maria Christakis, Hasan Ferit Eniser, Jörg Hoffmann, Adish Singla, Valentin Wüstholz
2023	J	`jnl`	Synthesizing a Progression of Subtasks for Block-Based Visual Programming Tasks. CoRR Alperen Tercan, Ahana Ghosh, Hasan Ferit Eniser, Maria Christakis, Adish Singla
2022	C	`conf`	Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes. AIES Stelios Triantafyllou, Adish Singla, Goran Radanovic
2022	J	`jnl`	Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes. CoRR Stelios Triantafyllou, Adish Singla, Goran Radanovic
2022	—	`conf`	Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes. AIED (1) Ahana Ghosh, Sebastian Tschiatschek, Sam Devlin, Adish Singla
2022	A*	`conf`	Admissible Policy Teaching through Reward Design. AAAI Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic
2022	J	`jnl`	Admissible Policy Teaching through Reward Design. CoRR Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic
2022	A*	`conf`	Bayesian Persuasion in Sequential Decision-Making. AAAI Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla
2022	A*	`conf`	Envy-free Policy Teaching to Multiple Agents. NeurIPS Jiarui Gan, Rupak Majumdar, Adish Singla, Goran Radanovic
2022	B	`conf`	Equity and Fairness of Bayesian Knowledge Tracing. EDM Sebastian Tschiatschek, Maria Knobelsdorf, Adish Singla
2022	J	`jnl`	Equity and Fairness of Bayesian Knowledge Tracing. CoRR Sebastian Tschiatschek, Maria Knobelsdorf, Adish Singla
2022	A*	`conf`	Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards. NeurIPS Rati Devidze, Parameswaran Kamalaruban, Adish Singla
2022	B	`conf`	From Solution Synthesis to Student Attempt Synthesis for Block-Based Visual Programming Tasks. EDM Adish Singla, Nikitas Theodoropoulos
2022	J	`jnl`	From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming Tasks. CoRR Adish Singla, Nikitas Theodoropoulos
2022	J	`jnl`	Learning to Switch Among Agents in a Team. Trans. Mach. Learn. Res. Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez Rodriguez
2022	A*	`conf`	On Batch Teaching with Sample Complexity Bounded by VCD. NeurIPS Farnam Mansouri, Hans Simon, Adish Singla, Sandra Zilles
2022	A*	`conf`	On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract). ICDE Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
2022	A*	`conf`	Provable Defense against Backdoor Policies in Reinforcement Learning. NeurIPS Shubham Kumar Bharti, Xuezhou Zhang, Adish Singla, Jerry Zhu
2022	J	`jnl`	Provable Defense against Backdoor Policies in Reinforcement Learning. CoRR Shubham Kumar Bharti, Xuezhou Zhang, Adish Singla, Xiaojin Zhu
2022	B	`conf`	Sequential Decision Making With Information Asymmetry (Invited Talk). CONCUR Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla
2022	J	`jnl`	Specifying and Testing k-Safety Properties for Machine-Learning Models. CoRR Maria Christakis, Hasan Ferit Eniser, Jörg Hoffmann, Adish Singla, Valentin Wüstholz
2021	J	`jnl`	Bayesian Persuasion in Sequential Decision-Making. CoRR Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla
2021	A*	`conf`	Curriculum Design for Teaching via Demonstrations: Theory and Applications. NeurIPS Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
2021	J	`jnl`	Curriculum Design for Teaching via Demonstrations: Theory and Applications. CoRR Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
2021	J	`jnl`	Defense Against Reward Poisoning Attacks in Reinforcement Learning. CoRR Kiarash Banihashem, Adish Singla, Goran Radanovic
2021	A*	`conf`	Explicable Reward Design for Reinforcement Learning Agents. NeurIPS Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla
2021	—	`conf`	Fair Clustering Using Antidote Data. AFCR Anshuman Chhabra, Adish Singla, Prasant Mohapatra
2021	J	`jnl`	Fair Clustering Using Antidote Data. CoRR Anshuman Chhabra, Adish Singla, Prasant Mohapatra
2021	J	`jnl`	Fairness Degrading Adversarial Attacks Against Clustering Algorithms. CoRR Anshuman Chhabra, Adish Singla, Prasant Mohapatra
2021	J	`jnl`	Loss-Aversively Fair Classification. CoRR Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi
2021	A*	`conf`	On Blame Attribution for Accountable Multi-Agent Sequential Decision Making. NeurIPS Stelios Triantafyllou, Adish Singla, Goran Radanovic
2021	J	`jnl`	On Blame Attribution for Accountable Multi-Agent Sequential Decision Making. CoRR Stelios Triantafyllou, Adish Singla, Goran Radanovic
2021	J	`jnl`	Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. J. Mach. Learn. Res. Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
2021	B	`conf`	Quizzing Policy Using Reinforcement Learning for Inferring the Student Knowledge State. EDM Joy He-Yueya, Adish Singla
2021	J	`jnl`	Reinforcement Learning Under Algorithmic Triage. CoRR Eleni Straitouri, Adish Singla, Vahid Balazadeh Meresht, Manuel Gomez-Rodriguez
2021	J	`jnl`	Reinforcement Learning for Education: Opportunities and Challenges. CoRR Adish Singla, Anna N. Rafferty, Goran Radanovic, Neil T. Heffernan
2021	J	`jnl`	Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments. CoRR Amin Rakhsha, Xuezhou Zhang, Xiaojin Zhu, Adish Singla
2021	A*	`conf`	Teaching an Active Learner with Contrastive Examples. NeurIPS Chaoqi Wang, Adish Singla, Yuxin Chen
2021	J	`jnl`	Teaching an Active Learner with Contrastive Examples. CoRR Chaoqi Wang, Adish Singla, Yuxin Chen
2021	A*	`conf`	Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm. NeurIPS Akash Kumar, Yuxin Chen, Adish Singla
2021	A*	`conf`	The Sample Complexity of Teaching by Reinforcement on Q-Learning. AAAI Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu
2021	A	`conf`	The Teaching Dimension of Kernel Perceptron. AISTATS Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen
2020	A*	`conf`	Adaptive Reward-Poisoning Attacks against Reinforcement Learning. ICML Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu
2020	J	`jnl`	Adaptive Reward-Poisoning Attacks against Reinforcement Learning. CoRR Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu
2020	J	`jnl`	Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries. CoRR Akash Kumar, Adish Singla, Yisong Yue, Yuxin Chen
2020	A	`conf`	Can A User Guess What Her Followers Want? WSDM Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
2020	J	`jnl`	Environment Shaping in Reinforcement Learning using State Abstraction. CoRR Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
2020	J	`jnl`	Learning to Switch Between Machines and Humans. CoRR Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez-Rodriguez
2020	J	`jnl`	Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. CoRR Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
2020	A*	`conf`	Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. ICML Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
2020	J	`jnl`	Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. CoRR Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
2020	J	`jnl`	Preference-Based Batch and Sequential Teaching. CoRR Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla
2020	A*	`conf`	Synthesizing Tasks for Block-based Programming. NeurIPS Umair Z. Ahmed, Maria Christakis, Aleksandr Efremov, Nigel Fernandez, Ahana Ghosh, Abhik Roychoudhury, Adish Singla
2020	J	`jnl`	Synthesizing Tasks for Block-based Programming. CoRR Umair Z. Ahmed, Maria Christakis, Aleksandr Efremov, Nigel Fernandez, Ahana Ghosh, Abhik Roychoudhury, Adish Singla
2020	A*	`conf`	Task-agnostic Exploration in Reinforcement Learning. NeurIPS Xuezhou Zhang, Yuzhe Ma, Adish Singla
2020	J	`jnl`	Task-agnostic Exploration in Reinforcement Learning. CoRR Xuezhou Zhang, Yuzhe Ma, Adish Singla
2020	J	`jnl`	The Teaching Dimension of Kernel Perceptron. CoRR Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen
2020	J	`jnl`	The Teaching Dimension of Q-learning. CoRR Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu
2020	A	`conf`	Towards Deployment of Robust Cooperative AI Agents: An Algorithmic Framework for Learning Adaptive Policies. AAMAS Ahana Ghosh, Sebastian Tschiatschek, Hamed Mahdavi, Adish Singla
2020	A*	`conf`	Understanding the Power and Limitations of Teaching with Imperfect Knowledge. IJCAI Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
2020	J	`jnl`	Understanding the Power and Limitations of Teaching with Imperfect Knowledge. CoRR Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
2020	B	`conf`	Zero-shot Learning of Hint Policy via Reinforcement Learning and Program Synthesis. EDM Aleksandr Efremov, Ahana Ghosh, Adish Singla
2019	J	`jnl`	Can A User Anticipate What Her Followers Want? CoRR Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
2019	A*	`conf`	Efficient learning of smooth probability functions from Bernoulli tests with guarantees. ICML Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher
2019	A*	`conf`	Interactive Teaching Algorithms for Inverse Reinforcement Learning. IJCAI Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
2019	J	`jnl`	Interactive Teaching Algorithms for Inverse Reinforcement Learning. CoRR Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
2019	A*	`conf`	Iterative Classroom Teaching. AAAI Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher
2019	A*	`conf`	Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints. NeurIPS Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla
2019	J	`jnl`	Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints. CoRR Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla
2019	A*	`conf`	Learning to Collaborate in Markov Decision Processes. ICML Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla
2019	J	`jnl`	Learning to Collaborate in Markov Decision Processes. CoRR Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla
2019	C	`conf`	Loss-Aversively Fair Classification. AIES Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi
2019	J	`jnl`	On the Fairness of Time-Critical Influence Maximization in Social Networks. CoRR Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
2019	J	`jnl`	Optimal Decision Making Under Strategic Behavior. CoRR Moein Khajehnejad, Behzad Tabibian, Bernhard Schölkopf, Adish Singla, Manuel Gomez-Rodriguez
2019	A*	`conf`	Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models. NeurIPS Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin (Jerry) Zhu, Adish Singla
2019	J	`jnl`	Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models. CoRR Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla
2019	A*	`conf`	Teaching Multiple Concepts to a Forgetful Learner. NeurIPS Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
2019	J	`jnl`	Towards Deployment of Robust AI Agents for Human-Machine Partnerships. CoRR Ahana Ghosh, Sebastian Tschiatschek, Hamed Mahdavi, Adish Singla
2019	J	`jnl`	Unifying Ensemble Methods for Q-learning via Social Choice Theory. CoRR Rishav Chourasia, Adish Singla
2018	J	`jnl`	A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices. CoRR Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
2018	A*	`conf`	A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. KDD Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
2018	J	`jnl`	An Overview of Machine Teaching. CoRR Xiaojin Zhu, Adish Singla, Sandra Zilles, Anna N. Rafferty
2018	B	`conf`	Data-Driven Approach Towards a Personalized Curriculum. EDM Michael Backenköhler, Felix Scherzinger, Adish Singla, Verena Wolf
2018	J	`jnl`	Efficient learning of smooth probability functions from Bernoulli tests with guarantees. CoRR Paul Rolland, Ali Kavis, Adish Singla, Volkan Cevher
2018	A*	`conf`	Enhancing the Accuracy and Fairness of Human Decision Making. NeurIPS Isabel Valera, Adish Singla, Manuel Gomez Rodriguez
2018	J	`jnl`	Enhancing the Accuracy and Fairness of Human Decision Making. CoRR Isabel Valera, Adish Singla, Manuel Gomez Rodriguez
2018	—	`conf`	Fake News Detection in Social Networks via Crowd Signals. WWW (Companion Volume) Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause
2018	A*	`conf`	Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints. AAAI Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings
2018	J	`jnl`	Iterative Classroom Teaching. CoRR Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher
2018	A*	`conf`	Learning User Preferences to Incentivize Exploration in the Sharing Economy. AAAI Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause
2018	A*	`conf`	Learning to Interact With Learning Agents. AAAI Adish Singla, Seyed Hamed Hassani, Andreas Krause
2018	A*	`conf`	Teaching Inverse Reinforcement Learners via Features and Demonstrations. NeurIPS Luis Haug, Sebastian Tschiatschek, Adish Singla
2018	J	`jnl`	Teaching Inverse Reinforcement Learners via Features and Demonstrations. CoRR Luis Haug, Sebastian Tschiatschek, Adish Singla
2018	J	`jnl`	Teaching Multiple Concepts to Forgetful Learners. CoRR Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez-Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
2018	A*	`conf`	Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. NeurIPS Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
2018	J	`jnl`	Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. CoRR Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
2017	J	`jnl`	Coordinated Online Learning With Applications to Learning User Preferences. CoRR Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause
2017	J	`jnl`	Detecting Fake News in Social Networks via Crowdsourcing. CoRR Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause
2017	J	`jnl`	Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints. CoRR Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings
2017	J	`jnl`	Learning User Preferences to Incentivize Exploration in the Sharing Economy. CoRR Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause
2017	J	`jnl`	Learning to Use Learners' Advice. CoRR Adish Singla, Seyed Hamed Hassani, Andreas Krause
2017	A*	`conf`	Selecting Sequences of Items via Submodular Maximization. AAAI Sebastian Tschiatschek, Adish Singla, Andreas Krause
2016	A*	`conf`	Actively Learning Hemimetrics with Applications to Eliciting User Preferences. ICML Adish Singla, Sebastian Tschiatschek, Andreas Krause
2016	J	`jnl`	Actively Learning Hemimetrics with Applications to Eliciting User Preferences. CoRR Adish Singla, Sebastian Tschiatschek, Andreas Krause
2016	B	`conf`	Evaluating Task-Dependent Taxonomies for Navigation. HCOMP Yuyin Sun, Adish Singla, Tori Qiao Yan, Andreas Krause, Dieter Fox
2016	B	`conf`	Learning and Feature Selection under Budget Constraints in Crowdsourcing. HCOMP Besmira Nushi, Adish Singla, Andreas Krause, Donald Kossmann
2016	—	`—`	Learning and Incentives in Crowd-Powered Systems. Adish Singla
2016	A*	`conf`	Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization. AAAI Adish Singla, Sebastian Tschiatschek, Andreas Krause
2015	A*	`conf`	Building Hierarchies of Concepts via Crowdsourcing. IJCAI Yuyin Sun, Adish Singla, Dieter Fox, Andreas Krause
2015	J	`jnl`	Building Hierarchies of Concepts via Crowdsourcing. CoRR Yuyin Sun, Adish Singla, Dieter Fox, Andreas Krause
2015	B	`conf`	Crowd Access Path Optimization: Diversity Matters. HCOMP Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann
2015	J	`jnl`	Crowd Access Path Optimization: Diversity Matters. CoRR Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann
2015	A*	`conf`	Incentivizing Users for Balancing Bike Sharing Systems. AAAI Adish Singla, Marco Santoni, Gábor Bartók, Pratik Mukerji, Moritz Meenen, Andreas Krause
2015	A*	`conf`	Information Gathering in Networks via Active Exploration. IJCAI Adish Singla, Eric Horvitz, Pushmeet Kohli, Ryen White, Andreas Krause
2015	J	`jnl`	Information Gathering in Networks via Active Exploration. CoRR Adish Singla, Eric Horvitz, Pushmeet Kohli, Ryen W. White, Andreas Krause
2015	B	`conf`	Learning to Hire Teams. HCOMP Adish Singla, Eric Horvitz, Pushmeet Kohli, Andreas Krause
2015	J	`jnl`	Learning to Hire Teams. CoRR Adish Singla, Eric Horvitz, Pushmeet Kohli, Andreas Krause
2015	J	`jnl`	Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization. CoRR Adish Singla, Sebastian Tschiatschek, Andreas Krause
2014	—	`conf`	Allocating tasks to workers with matching constraints: truthful mechanisms for crowdsourcing markets. WWW (Companion Volume) Gagan Goel, Afshin Nikzad, Adish Singla
2014	B	`conf`	Contextual Procurement in Online Crowdsourcing Markets. HCOMP Adish Singla, Ian Lienert, Gábor Bartók, Andreas Krause
2014	A*	`conf`	Enhancing personalization via search activity attribution. SIGIR Adish Singla, Ryen W. White, Ahmed Hassan Awadallah, Eric Horvitz
2014	A*	`conf`	From devices to people: attribution of search activity in multi-user settings. WWW Ryen W. White, Ahmed Hassan Awadallah, Adish Singla, Eric Horvitz
2014	B	`conf`	Mechanism Design for Crowdsourcing Markets with Heterogeneous Tasks. HCOMP Gagan Goel, Afshin Nikzad, Adish Singla
2014	A*	`conf`	Near-Optimally Teaching the Crowd to Classify. ICML Adish Singla, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, Andreas Krause
2014	J	`jnl`	Near-Optimally Teaching the Crowd to Classify. CoRR Adish Singla, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, Andreas Krause
2014	A*	`conf`	Quantifying Web-Search Privacy. CCS Arthur Gervais, Reza Shokri, Adish Singla, Srdjan Capkun, Vincent Lenders
2014	A*	`conf`	Stochastic Privacy. AAAI Adish Singla, Eric Horvitz, Ece Kamar, Ryen White
2014	J	`jnl`	Stochastic Privacy. CoRR Adish Singla, Eric Horvitz, Ece Kamar, Ryen White
2013	B	`conf`	Incentives for Privacy Tradeoff in Community Sensing. HCOMP Adish Singla, Andreas Krause
2013	J	`jnl`	Incentives for Privacy Tradeoff in Community Sensing. CoRR Adish Singla, Andreas Krause
2013	A*	`conf`	Truthful incentives in crowdsourcing tasks using regret minimization mechanisms. WWW Adish Singla, Andreas Krause
2012	A	`conf`	A noise-aware click model for web search. WSDM Weizhu Chen, Dong Wang, Yuchen Zhang, Zheng Chen, Adish Singla, Qiang Yang
2011	J	`jnl`	Camera Brand Congruence and Camera Model Propagation in the Flickr Social Graph. ACM Trans. Web Adish Singla, Ingmar Weber
2011	—	`conf`	Finding our way on the web: exploring the role of waypoints in search interaction. WWW (Companion Volume) Ryen W. White, Adish Singla
2010	A*	`conf`	Sampling high-quality clicks from noisy click data. WWW Adish Singla, Ryen W. White
2010	A*	`conf`	Studying trailfinding algorithms for enhanced web search. SIGIR Adish Singla, Ryen White, Jeff Huang
2010	A*	`conf`	Tagging and navigability. WWW Adish Singla, Ingmar Weber
2009	A	`conf`	Camera brand congruence in the Flickr social graph. WSDM Adish Singla, Ingmar Weber