Amit Sharma

According to our database, Amit Sharma authored at least 79 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep End-to-end Causal Inference.

Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang

Trans. Mach. Learn. Res., 2024

On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification.

Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma

CoRR, 2024

Teaching Transformers Causal Reasoning through Axiomatic Training.

Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma

CoRR, 2024

Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning.

Amit Sharma, Hua Li, Xue Li, Jian Jiao

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

NICE: To Optimize In-Context Examples or Not?

Pragya Srivastava, Satvik Golechha, Amit Deshpande, Amit Sharma

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Machine Explanations and Human Understanding.

Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan

Trans. Mach. Learn. Res., 2023

Pre-registration for Predictive Modeling.

Jake M. Hofman, Angelos Chatzimparmpas, Amit Sharma, Duncan J. Watts, Jessica Hullman

CoRR, 2023

Causal Inference Using LLM-Guided Discovery.

Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma

CoRR, 2023

Large Language Models as Annotators: Enhancing Generalization of NLP Models at Minimal Cost.

Parikshit Bansal, Amit Sharma

CoRR, 2023

Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes.

Abhinav Kumar, Amit Deshpande, Amit Sharma

CoRR, 2023

Rethinking Counterfactual Data Augmentation Under Confounding.

Abbavaram Gowtham Reddy, Saketh Bachu, Saloni Dash, Charchit Sharma, Amit Sharma, Vineeth N. Balasubramanian

CoRR, 2023

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.

Emre Kiciman, Robert Ness, Amit Sharma, Chenhao Tan

CoRR, 2023

Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations.

Abhinav Kumar, Amit Deshpande, Amit Sharma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization.

Jivat Neet Kaur, Emre Kiciman, Amit Sharma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers.

Parikshit Bansal, Amit Sharma

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Counterfactual Generation Under Confounding.

Abbavaram Gowtham Reddy, Saloni Dash, Amit Sharma, Vineeth N. Balasubramanian

CoRR, 2022

Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems.

Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma

CoRR, 2022

Deep End-to-end Causal Inference.

Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

CoRR, 2022

Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals.

Saloni Dash, Vineeth N. Balasubramanian, Amit Sharma

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Probing Classifiers are Unreliable for Concept Removal and Detection.

Abhinav Kumar, Chenhao Tan, Amit Sharma

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

Matching Learned Causal Effects of Neural Networks with Domain Priors.

Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma

Proceedings of the International Conference on Machine Learning, 2022

2021

Omitted Variable Bias in Machine Learned Causal Models.

Victor Chernozhukov, Carlos Cinelli, Whitney Newey, Amit Sharma, Vasilis Syrgkanis

CoRR, 2021

Causal Regularization Using Domain Priors.

Abbavaram Gowtham Reddy, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Amit Sharma

CoRR, 2021

The Connection between Out-of-Distribution Generalization and Privacy of ML Models.

Divyat Mahajan, Shruti Tople, Amit Sharma

CoRR, 2021

DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions.

Amit Sharma, Vasilis Syrgkanis, Cheng Zhang, Emre Kiciman

CoRR, 2021

Causally Constrained Data Synthesis for Private Data Release.

Varun Chandrasekaran, Darren Edge, Somesh Jha, Amit Sharma, Cheng Zhang, Shruti Tople

CoRR, 2021

Technology Readiness Levels for Machine Learning Systems.

Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atilim Günes Baydin, Amit Sharma, Adam Gibson, Yarin Gal, Eric P. Xing, Chris Mattmann, James Parr

CoRR, 2021

Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions.

Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman

Proceedings of the WSDM '21, 2021

Domain Generalization using Causal Matching.

Divyat Mahajan, Shruti Tople, Amit Sharma

Proceedings of the 38th International Conference on Machine Learning, 2021

MINDNOTES : A Mobile Platform to enable users to break stigma around mental health and connect with therapists.

Prateek Chanda, Amogh Wagh, Jemimah A. Johnson, Swaraj Renghe, Vageesh Chandramouli, George Mathews, Sapna Behar, Poornima Bhola, Girish N. Rao, Paulomi Sudhir, T. K. Srikanth, Amit Sharma, Seema Mehrotra

Proceedings of the Companion Publication of the 2021 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2021

Sayer: Using Implicit Feedback to Optimize System Policies.

Mathias Lécuyer, Sang Hoon Kim, Mihir Nanavati, Junchen Jiang, Siddhartha Sen, Aleksandrs Slivkins, Amit Sharma

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

"Can I Not Be Suicidal on a Sunday?": Understanding Technology-Mediated Pathways to Mental Health Support.

Sachin R. Pendse, Amit Sharma, Aditya Vashistha, Munmun De Choudhury, Neha Kumar

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End.

Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective.

Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma

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

2020

DoWhy: An End-to-End Library for Causal Inference.

Amit Sharma, Emre Kiciman

CoRR, 2020

Counterfactual Generation and Fairness Evaluation Using Adversarially Learned Inference.

Saloni Dash, Amit Sharma

CoRR, 2020

Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums.

Taisa Kushner, Amit Sharma

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi.

Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Anurag Shukla, Vishnu Prasad, Venkanna U, Amit Sharma, Kalika Bali

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms.

Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities.

Koustuv Saha, Amit Sharma

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Alleviating Privacy Attacks via Causal Learning.

Shruti Tople, Amit Sharma, Aditya Nori

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

Explaining machine learning classifiers through diverse counterfactual explanations.

Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan

Proceedings of the FAT* '20: Conference on Fairness, 2020

Using Mobile Airtime Credits to Incentivize Learning, Sharing and Survey Response: Experiences from the Field.

Devansh Mehta, Ramaravind Kommiya Mothilal, Alok Sharma, William Thies, Amit Sharma

Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 2020

Causal Inference and Counterfactual Reasoning.

Amit Sharma, Emre Kiciman

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

"Like Shock Absorbers": Understanding the Human Infrastructures of Technology-Mediated Mental Health Support.

Sachin R. Pendse, Faisal M. Lalani, Munmun De Choudhury, Amit Sharma, Neha Kumar

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Facilitating Media Distribution with Monetary Incentives.

Devansh Mehta, Alok Sharma, Ramaravind Kommiya Mothilal, Chiraag, Anurag Shukla, Vishnu Prasad, William Thies, Venkanna U, Colin Scott, Amit Sharma

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness Campaigns.

Saiganesh Swaminathan, Indrani Medhi-Thies, Devansh Mehta, Edward Cutrell, Amit Sharma, William Thies

Proc. ACM Hum. Comput. Interact., 2019

Cross-Cultural Differences in the Use of Online Mental Health Support Forums.

Sachin R. Pendse, Kate Niederhoffer, Amit Sharma

Proc. ACM Hum. Comput. Interact., 2019

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers.

Divyat Mahajan, Chenhao Tan, Amit Sharma

CoRR, 2019

Quantifying Infra-Marginality and Its Trade-off with Group Fairness.

Arpita Biswas, Siddharth Barman, Amit Deshpande, Amit Sharma

CoRR, 2019

Causal Inference and Counterfactual Reasoning (3hr Tutorial).

Emre Kiciman, Amit Sharma

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data.

Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Mental health in the global south: challenges and opportunities in HCI for development.

Sachin R. Pendse, Naveena Karusala, Divya Siddarth, Pattie Gonsalves, Seema Mehrotra, John A. Naslund, Mamta Sood, Neha Kumar, Amit Sharma

Proceedings of the Conference on Computing & Sustainable Societies, 2019

Optimizing peer referrals for public awareness using contextual bandits.

Ramaravind Kommiya Mothilal, Amulya Yadav, Amit Sharma

Proceedings of the Conference on Computing & Sustainable Societies, 2019

Learnings from deploying a voice-based social platform for people with disability.

Karn Dubey, Palash Gupta, Rachna Shriwas, Gayatri Gulvady, Amit Sharma

Proceedings of the Conference on Computing & Sustainable Societies, 2019

Learnings from an Ongoing Deployment of an IVR-based Platform for Voter Awareness.

Ramaravind Kommiya Mothilal, Devansh Mehta, Alok Sharma, William Thies, Amit Sharma

Proceedings of the Companion Publication of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2019

Moments of Change: Analyzing Peer-Based Cognitive Support in Online Mental Health Forums.

Yada Pruksachatkun, Sachin R. Pendse, Amit Sharma

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media.

Jisun An, Rumi Chunara, David J. Crandall, Darian Frajberg, Megan French, Bernard J. Jansen, Juhi Kulshrestha, Yelena Mejova, Daniel M. Romero, Joni Salminen, Amit Sharma, Amit P. Sheth, Chenhao Tan, Samuel Hardman Taylor, Sanjaya Wijeratne

AI Mag., 2018

2017

Auditing Search Engines for Differential Satisfaction Across Demographics.

Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

FATREC Workshop on Responsible Recommendation.

Michael D. Ekstrand, Amit Sharma

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Harvesting Randomness to Optimize Distributed Systems.

Mathias Lécuyer, Joshua Lockerman, Lamont Nelson, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins

Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, 2017

2016

Split-door criterion for causal identification: Automatic search for natural experiments.

Amit Sharma, Jake M. Hofman, Duncan J. Watts

CoRR, 2016

Exploring Limits to Prediction in Complex Social Systems.

Travis Martin, Jake M. Hofman, Amit Sharma, Ashton Anderson, Duncan J. Watts

Proceedings of the 25th International Conference on World Wide Web, 2016

Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior.

Samuel Barbosa, Dan Cosley, Amit Sharma, Roberto M. Cesar Jr.

Proceedings of the 25th International Conference on World Wide Web, 2016

Predictability of Popularity: Gaps between Prediction and Understanding.

Benjamin Shulman, Amit Sharma, Dan Cosley

Proceedings of the Tenth International Conference on Web and Social Media, 2016

Distinguishing between Personal Preferences and Social Influence in Online Activity Feeds.

Amit Sharma, Dan Cosley

Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 2016

2015

The Interplay of Personal Preference and Social Influence in Sharing Networks.

Amit Sharma

PhD thesis, 2015

Estimating the Causal Impact of Recommendation Systems from Observational Data.

Amit Sharma, Jake M. Hofman, Duncan J. Watts

Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

Studying and Modeling the Connection between People's Preferences and Content Sharing.

Amit Sharma, Dan Cosley

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

2014

Modeling the effect of people's preferences and social forces on adopting and sharing items.

Amit Sharma

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2013

Do social explanations work?: studying and modeling the effects of social explanations in recommender systems.

Amit Sharma, Dan Cosley

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

Pairwise learning in recommendation: experiments with community recommendation on linkedin.

Amit Sharma, Baoshi Yan

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

A Research Platform for Recommendation within Social Networks.

Amit Sharma

Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), 2013

Algorithms for Generating Ordered Solutions for Explicit AND/OR Structures : Extended Abstract.

Priyankar Ghosh, Amit Sharma, Partha Pratim Chakrabarti, Pallab Dasgupta

Proceedings of the IJCAI 2013, 2013

Friends, Strangers, and the Value of Ego Networks for Recommendation.

Amit Sharma, Mevlana Gemici, Dan Cosley

Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

PopCore: a system for network-centric recommendation.

Amit Sharma

Proceedings of the Computer Supported Cooperative Work, 2013

2012

Algorithms for Generating Ordered Solutions for Explicit AND/OR Structures.

Priyankar Ghosh, Amit Sharma, P. P. Chakrabarti, Pallab Dasgupta

J. Artif. Intell. Res., 2012

2011

Network-Centric Recommendation: Personalization with and in Social Networks.

Amit Sharma, Dan Cosley

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

ReComp: QoS-aware recursive service composition at minimum cost.

Vimmi Jaiswal, Amit Sharma, Akshat Verma

Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, 2011