Adish Singla

CoRR, 2024

Task Synthesis for Elementary Visual Programming in XLogoOnline Environment.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs.

[BibT_eX]

[DOI]

Bahar Radmehr

Tanja Käser

CoRR, 2024

Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences.

[BibT_eX]

[DOI]

Andi Nika

Debmalya Mandal

CoRR, 2024

Corruption Robust Offline Reinforcement Learning with Human Feedback.

[BibT_eX]

[DOI]

Debmalya Mandal

Andi Nika

CoRR, 2024

Generative AI for Education (GAIED): Advances, Opportunities, and Challenges.

[BibT_eX]

[DOI]

CoRR, 2024

Analyzing-Evaluating-Creating: Assessing Computational Thinking and Problem Solving in Visual Programming Domains.

[BibT_eX]

[DOI]

Liina Malva

Victor-Alexandru Padurean

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation.

[BibT_eX]

[DOI]

Tung Phung

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Informativeness of Reward Functions in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Corruption-Robust Offline Two-Player Zero-Sum Markov Games.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

On the Fairness of Time-Critical Influence Maximization in Social Networks.

[BibT_eX]

[DOI]

Junaid Ali

Mahmoudreza Babaei

Abhijnan Chakraborty

Baharan Mirzasoleiman

Krishna P. Gummadi

IEEE Trans. Knowl. Data Eng., March, 2023

Proximal Curriculum for Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Bárbara Gomes Ribeiro

Trans. Mach. Learn. Res., 2023

Defense Against Reward Poisoning Attacks in Reinforcement Learning.

[BibT_eX]

[DOI]

Kiarash Banihashem

Trans. Mach. Learn. Res., 2023

Active Third-Person Imitation Learning.

[BibT_eX]

[DOI]

Timo Klein

Susanna Weinberger

CoRR, 2023

Optimally Teaching a Linear Behavior Cloning Agent.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming from One-Shot Observation.

[BibT_eX]

[DOI]

Manh Hung Nguyen

Victor-Alexandru Padurean

CoRR, 2023

Learning Embeddings for Sequential Tasks Using Population of Agents.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Task Synthesis for Visual Programming.

[BibT_eX]

[DOI]

CoRR, 2023

Synthesizing a Progression of Subtasks for Block-Based Visual Programming Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Specifying and Testing k-Safety Properties for Machine-Learning Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Evaluating ChatGPT and GPT-4 for Visual Programming.

[BibT_eX]

[DOI]

Victor-Alexandru Padurean

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors.

[BibT_eX]

[DOI]

Tung Phung

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Educational Data Mining, 2023

Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning.

[BibT_eX]

[DOI]

Andi Nika

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Online Reinforcement Learning with Uncertain Episode Lengths.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning to Switch Among Agents in a Team.

[BibT_eX]

[DOI]

Vahid Balazadeh Meresht

Manuel Gomez Rodriguez

Trans. Mach. Learn. Res., 2022

Provable Defense against Backdoor Policies in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

On Batch Teaching with Sample Complexity Bounded by VCD.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Envy-free Policy Teaching to Multiple Agents.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Provable Defense against Backdoor Policies in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract).

[BibT_eX]

[DOI]

Junaid Ali

Mahmoudreza Babaei

Abhijnan Chakraborty

Baharan Mirzasoleiman

Krishna P. Gummadi

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Equity and Fairness of Bayesian Knowledge Tracing.

[BibT_eX]

[DOI]

Maria Knobelsdorf

Proceedings of the 15th International Conference on Educational Data Mining, 2022

From Solution Synthesis to Student Attempt Synthesis for Block-Based Visual Programming Tasks.

[BibT_eX]

[DOI]

Nikitas Theodoropoulos

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Sequential Decision Making With Information Asymmetry (Invited Talk).

[BibT_eX]

[DOI]

Proceedings of the 33rd International Conference on Concurrency Theory, 2022

Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes.

[BibT_eX]

[DOI]

Stelios Triantafyllou

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes.

[BibT_eX]

[DOI]

Sam Devlin

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

Bayesian Persuasion in Sequential Decision-Making.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Admissible Policy Teaching through Reward Design.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Fairness Degrading Adversarial Attacks Against Clustering Algorithms.

[BibT_eX]

[DOI]

Anshuman Chhabra

Prasant Mohapatra

CoRR, 2021

Reinforcement Learning Under Algorithmic Triage.

[BibT_eX]

[DOI]

Eleni Straitouri

Vahid Balazadeh Meresht

CoRR, 2021

Reinforcement Learning for Education: Opportunities and Challenges.

[BibT_eX]

[DOI]

CoRR, 2021

Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments.

[BibT_eX]

[DOI]

CoRR, 2021

Curriculum Design for Teaching via Demonstrations: Theory and Applications.

[BibT_eX]

[DOI]

Gaurav Yengera

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Teaching an Active Learner with Contrastive Examples.

[BibT_eX]

[DOI]

Chaoqi Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Blame Attribution for Accountable Multi-Agent Sequential Decision Making.

[BibT_eX]

[DOI]

Stelios Triantafyllou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm.

[BibT_eX]

[DOI]

Akash Kumar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explicable Reward Design for Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Quizzing Policy Using Reinforcement Learning for Inferring the Student Knowledge State.

[BibT_eX]

Joy He-Yueya

Proceedings of the 14th International Conference on Educational Data Mining, 2021

The Teaching Dimension of Kernel Perceptron.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Fair Clustering Using Antidote Data.

[BibT_eX]

[DOI]

Anshuman Chhabra

Prasant Mohapatra

Proceedings of the Algorithmic Fairness through the Lens of Causality and Robustness Workshop, 2021

The Sample Complexity of Teaching by Reinforcement on Q-Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Preference-Based Batch and Sequential Teaching.

[BibT_eX]

[DOI]

CoRR, 2020

Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries.

[BibT_eX]

[DOI]

CoRR, 2020

Environment Shaping in Reinforcement Learning using State Abstraction.

[BibT_eX]

[DOI]

Volkan Cevher

CoRR, 2020

The Teaching Dimension of Q-learning.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Switch Between Machines and Humans.

[BibT_eX]

[DOI]

Vahid Balazadeh Meresht

CoRR, 2020

Can A User Guess What Her Followers Want?

[BibT_eX]

[DOI]

Utkarsh Upadhyay

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Task-agnostic Exploration in Reinforcement Learning.

[BibT_eX]

[DOI]

Xuezhou Zhang

Yuzhe Ma

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Synthesizing Tasks for Block-based Programming.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding the Power and Limitations of Teaching with Imperfect Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adaptive Reward-Poisoning Attacks against Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Zero-shot Learning of Hint Policy via Reinforcement Learning and Program Synthesis.

[BibT_eX]

[DOI]

Aleksandr Efremov

Proceedings of the 13th International Conference on Educational Data Mining, 2020

Towards Deployment of Robust Cooperative AI Agents: An Algorithmic Framework for Learning Adaptive Policies.

[BibT_eX]

[DOI]

Hamed Mahdavi

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Towards Deployment of Robust AI Agents for Human-Machine Partnerships.

[BibT_eX]

[DOI]

Hamed Mahdavi

CoRR, 2019

Can A User Anticipate What Her Followers Want?

[BibT_eX]

[DOI]

Utkarsh Upadhyay

CoRR, 2019

Optimal Decision Making Under Strategic Behavior.

[BibT_eX]

[DOI]

CoRR, 2019

Unifying Ensemble Methods for Q-learning via Social Choice Theory.

[BibT_eX]

[DOI]

Rishav Chourasia

CoRR, 2019

Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Teaching Multiple Concepts to a Forgetful Learner.

[BibT_eX]

[DOI]

Anette Hunziker

Oisin Mac Aodha

Manuel Gomez Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Interactive Teaching Algorithms for Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Volkan Cevher

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning to Collaborate in Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Loss-Aversively Fair Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Iterative Classroom Teaching.

[BibT_eX]

[DOI]

Teresa Yeo

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

[BibT_eX]

[DOI]

CoRR, 2018

Teaching Multiple Concepts to Forgetful Learners.

[BibT_eX]

[DOI]

Anette Hunziker

Oisin Mac Aodha

CoRR, 2018

An Overview of Machine Teaching.

[BibT_eX]

[DOI]

CoRR, 2018

Fake News Detection in Social Networks via Crowd Signals.

[BibT_eX]

[DOI]

Arpit Merchant

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Enhancing the Accuracy and Fairness of Human Decision Making.

[BibT_eX]

[DOI]

Isabel Valera

Manuel Gomez Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Teaching Inverse Reinforcement Learners via Features and Demonstrations.

[BibT_eX]

[DOI]

Luis Haug

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Data-Driven Approach Towards a Personalized Curriculum.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Educational Data Mining, 2018

Learning to Interact With Learning Agents.

[BibT_eX]

[DOI]

Seyed Hamed Hassani

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning User Preferences to Incentivize Exploration in the Sharing Economy.

[BibT_eX]

[DOI]

Christoph Hirnschall

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Detecting Fake News in Social Networks via Crowdsourcing.

[BibT_eX]

[DOI]

Arpit Merchant

CoRR, 2017

Learning to Use Learners' Advice.

[BibT_eX]

[DOI]

Seyed Hamed Hassani

CoRR, 2017

Coordinated Online Learning With Applications to Learning User Preferences.

[BibT_eX]

[DOI]

Christoph Hirnschall

CoRR, 2017

Selecting Sequences of Items via Submodular Maximization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Learning and Incentives in Crowd-Powered Systems.

[BibT_eX]

[DOI]

PhD thesis, 2016

Actively Learning Hemimetrics with Applications to Eliciting User Preferences.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Evaluating Task-Dependent Taxonomies for Navigation.

[BibT_eX]

[DOI]

Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

Learning and Feature Selection under Budget Constraints in Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Building Hierarchies of Concepts via Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Information Gathering in Networks via Active Exploration.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning to Hire Teams.

[BibT_eX]

[DOI]

Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

Crowd Access Path Optimization: Diversity Matters.

[BibT_eX]

[DOI]

Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

Incentivizing Users for Balancing Bike Sharing Systems.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

From devices to people: attribution of search activity in multi-user settings.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Eric Horvitz

Proceedings of the 23rd International World Wide Web Conference, 2014

Allocating tasks to workers with matching constraints: truthful mechanisms for crowdsourcing markets.

[BibT_eX]

[DOI]

Gagan Goel

Afshin Nikzad

Proceedings of the 23rd International World Wide Web Conference, 2014

Enhancing personalization via search activity attribution.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Eric Horvitz

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Near-Optimally Teaching the Crowd to Classify.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Contextual Procurement in Online Crowdsourcing Markets.

[BibT_eX]

[DOI]

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Mechanism Design for Crowdsourcing Markets with Heterogeneous Tasks.

[BibT_eX]

[DOI]

Gagan Goel

Afshin Nikzad

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Quantifying Web-Search Privacy.

[BibT_eX]

[DOI]

Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, 2014

Stochastic Privacy.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Truthful incentives in crowdsourcing tasks using regret minimization mechanisms.

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

Incentives for Privacy Tradeoff in Community Sensing.

[BibT_eX]

[DOI]

Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

2012

A noise-aware click model for web search.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

2011

Camera Brand Congruence and Camera Model Propagation in the Flickr Social Graph.

[BibT_eX]

[DOI]

Ingmar Weber

ACM Trans. Web, 2011

Finding our way on the web: exploring the role of waypoints in search interaction.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on World Wide Web, 2011

2010

Sampling high-quality clicks from noisy click data.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on World Wide Web, 2010

Tagging and navigability.

[BibT_eX]

[DOI]

Ingmar Weber

Proceedings of the 19th International Conference on World Wide Web, 2010

Studying trailfinding algorithms for enhanced web search.

[BibT_eX]

[DOI]

Ryen White

Jeff Huang

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

2009

Camera brand congruence in the Flickr social graph.

[BibT_eX]

[DOI]