Amit Sharma

Latest

• The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
• Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
• DoWhy: An End-to-End Library for Causal Inference
• Counterfactual Generation and Fairness Evaluation Using Adversarially Learned Inference
• Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
• Alleviating Privacy Attacks via Causal Learning
• Domain generalization using causal matching
• Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
• Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms
• " Like Shock Absorbers": Understanding the Human Infrastructures of Technology-Mediated Mental Health Support
• Bursts of activity: Temporal patterns of help-seeking and support in online mental health forums
• Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
• Barriers to Professional Help-seeking for Distress and Potential Utility of a Mental Health App Components: Stakeholder Perspectives
• Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi
• Using Mobile Airtime Credits to Incentivize Learning, Sharing and Survey Response: Experiences from the Field
• Cross-Cultural Differences in the Use of Online Mental Health Support Forums
• Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness Campaigns
• The impact of computing systems | Causal inference in practice
• Trip report from ACM COMPASS: 2nd Conference on Computing and Sustainable Societies
• Learnings from deploying a voice-based social platform for people with disability
• Mental Health in the Global South: Challenges and Opportunities in HCI for Development
• Optimizing Peer Referrals for Public Awareness using Contextual Bandits
• Predicting History
• Giving in the Short Term: Putting Research in Action Alongside Marginalized Groups
• Causal Inference and Counterfactual Reasoning (3hr Tutorial)
• Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention
• Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data
• Moments of Change: Analyzing Peer-Based Cognitive Support in Online Mental Health Forums
• Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers
• Quantifying Error in the Presence of Confounders for Causal Inference
• Quantifying Infra-Marginality and Its Trade-off with Group Fairness
• Necessary and probably sufficient test for finding valid instrumental variables
• Split-door criterion: Identification of causal effects through auxiliary outcomes
• The Influence of Context on Online Shopping Behavior: The Case of Concurrent TV Consumption
• Auditing Search Engines for Differential Satisfaction Across Demographics
• Harvesting Randomness to Optimize Distributed Systems
• Prediction and explanation in social systems
• A Gentle Introduction to Causal Inference
• A Simple Guide to Doubly Robust Estimation
• Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior
• Distinguishing Between Personal Preferences and Social Influence in Online Activity Feeds (Honorable Mention for Best Paper award)
• Predictability of popularity: Gaps between prediction and understanding
• Estimating the Causal Impact of Recommendation Systems from Observational Data
• Cumulative Distribution Plots for Frequency Data in R
• Studying and Modeling the Connection Between People's Preferences and Content Sharing
• Personalization in Social Networks: Modeling the Underlying Social Processes
• A Research Platform for Recommendation within Social Networks
• Do Social Explanations Work? Studying and Modeling the Effects of Social Explanations in Recommender Systems
• Friends, Strangers, and the Value of Ego Networks for Recommendation
• Pairwise Learning in Recommendation: Experiments with Community Recommendation on LinkedIn
• PopCore: A System for Network-centric Recommendations
• Algorithms for Generating Ordered Solutions for Explicit AND/OR Structures
• Network-Centric Recommendation: Personalization with and in Social Networks
• PopCore: A System for Network-Centric Recommendations
• ReComp: QoS-aware recursive service composition at minimum cost
• Workload Management for Power Efficiency in Virtualized Data Centers