Amit Sharma - RankMe

129 papers A* 22A 13B 1C 6Misc 1Journal 68Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Better Think Thrice: Learning to Reason Causally with Double Counterfactual Consistency. CoRR Victoria Lin, Xinnuo Xu, Rachel Lawrence, Risa Ueno, Amit Sharma, Javier González, Niranjani Prasad
2026	J	`jnl`	Do LLMs Act Like Rational Agents? Measuring Belief Coherence in Probabilistic Decision Making. CoRR Khurram Yamin, Jingjing Tang, Santiago Cortes-Gomez, Amit Sharma, Eric Horvitz, Bryan Wilder
2026	J	`jnl`	interwhen: A Generalizable Framework for Verifiable Reasoning with Test-time Monitors. CoRR Vishak K. Bhat, Prateek Chanda, Ashmit Khandelwal, Maitreyi Swaroop, Vineeth N. Balasubramanian, Subbarao Kambhampati, Nagarajan Natarajan, Amit Sharma
2025	A*	`conf`	Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference. ICLR Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
2025	J	`jnl`	Characterizing Deep Research: A Benchmark and Formal Definition. CoRR Abhinav Java, Ashmit Khandelwal, Sukruta Prakash Midigeshi, Aaron Halfaker, Amit Deshpande, Navin Goyal, Ankur Gupta, Nagarajan Natarajan, Amit Sharma
2025	J	`jnl`	DeduCE: Deductive Consistency as a Framework to Evaluate LLM Reasoning. CoRR Atharva Pandey, Kshitij Dubey, Rahul Sharma, Amit Sharma
2025	A*	`conf`	Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval. EMNLP Pranjal A. Chitale, Bishal Santra, Yashoteja Prabhu, Amit Sharma
2025	J	`jnl`	Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval. CoRR Pranjal A. Chitale, Bishal Santra, Yashoteja Prabhu, Amit Sharma
2025	J	`jnl`	Executable Counterfactuals: Improving LLMs' Causal Reasoning Through Code. CoRR Aniket Vashishtha, Qirun Dai, Hongyuan Mei, Amit Sharma, Chenhao Tan, Hao Peng
2025	J	`jnl`	FrugalRAG: Learning to retrieve and reason for multi-hop QA. CoRR Abhinav Java, Srivathsan Koundinyan, Nagarajan Natarajan, Amit Sharma
2025	—	`conf`	On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification. KDD (1) Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma
2025	A*	`conf`	RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation. ICML Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Risa Ueno, Fabian Falck, Aditya V. Nori, Rahul Sharma, Amit Sharma, Javier González
2025	J	`jnl`	RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation. CoRR Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Risa Ueno, Fabian Falck, Aditya V. Nori, Rahul Sharma, Amit Sharma, Javier González
2025	—	`conf`	Task Facet Learning: A Structured Approach To Prompt Optimization. ACL (Findings) Gurusha Juneja, Gautam Jajoo, Hua Li, Jian Jiao, Nagarajan Natarajan, Amit Sharma
2025	A*	`conf`	Teaching Transformers Causal Reasoning through Axiomatic Training. ICML Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma
2024	J	`jnl`	Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. Trans. Mach. Learn. Res. Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
2024	J	`jnl`	Deep End-to-end Causal Inference. Trans. Mach. Learn. Res. 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
2024	—	`conf`	NICE: To Optimize In-Context Examples or Not? ACL (1) Pragya Srivastava, Satvik Golechha, Amit Deshpande, Amit Sharma
2024	J	`jnl`	NICE: To Optimize In-Context Examples or Not? CoRR Pragya Srivastava, Satvik Golechha, Amit Deshpande, Amit Sharma
2024	J	`jnl`	On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification. CoRR Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma
2024	A*	`conf`	Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning. KDD Amit Sharma, Hua Li, Xue Li, Jian Jiao
2024	J	`jnl`	Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning. CoRR Amit Sharma, Hua Li, Xue Li, Jian Jiao
2024	J	`jnl`	Plan⨉RAG: Planning-guided Retrieval Augmented Generation. CoRR Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma
2024	J	`jnl`	Task Facet Learning: A Structured Approach to Prompt Optimization. CoRR Gurusha Juneja, Nagarajan Natarajan, Hua Li, Jian Jiao, Amit Sharma
2024	J	`jnl`	Teaching Transformers Causal Reasoning through Axiomatic Training. CoRR Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma
2023	J	`jnl`	Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes. CoRR Abhinav Kumar, Amit Deshpande, Amit Sharma
2023	A*	`conf`	Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations. NeurIPS Abhinav Kumar, Amit Deshpande, Amit Sharma
2023	J	`jnl`	Causal Inference Using LLM-Guided Discovery. CoRR Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
2023	J	`jnl`	Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. CoRR Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
2023	A	`conf`	Combinatorial categorized bandits with expert rankings. UAI Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma
2023	—	`conf`	Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers. ACL (1) Parikshit Bansal, Amit Sharma
2023	J	`jnl`	Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers. CoRR Parikshit Bansal, Amit Sharma
2023	J	`jnl`	GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval. CoRR Daman Arora, Anush Kini, Sayak Ray Chowdhury, Nagarajan Natarajan, Gaurav Sinha, Amit Sharma
2023	J	`jnl`	Large Language Models as Annotators: Enhancing Generalization of NLP Models at Minimal Cost. CoRR Parikshit Bansal, Amit Sharma
2023	—	`conf`	Machine Explanations and Human Understanding. FAccT Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
2023	J	`jnl`	Machine Explanations and Human Understanding. Trans. Mach. Learn. Res. Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
2023	A*	`conf`	Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization. ICLR Jivat Neet Kaur, Emre Kiciman, Amit Sharma
2023	J	`jnl`	Pre-registration for Predictive Modeling. CoRR Jake M. Hofman, Angelos Chatzimparmpas, Amit Sharma, Duncan J. Watts, Jessica Hullman
2023	J	`jnl`	Rethinking Counterfactual Data Augmentation Under Confounding. CoRR Abbavaram Gowtham Reddy, Saketh Bachu, Saloni Dash, Charchit Sharma, Amit Sharma, Vineeth N. Balasubramanian
2022	C	`ed.`	COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022 - 1 July 2022 COMPASS Engineer Bainomugisha, Waylon Brunette, Nicola Dell, Amit Sharma
2022	J	`jnl`	Counterfactual Generation Under Confounding. CoRR Abbavaram Gowtham Reddy, Saloni Dash, Amit Sharma, Vineeth N. Balasubramanian
2022	J	`jnl`	Deep End-to-end Causal Inference. CoRR Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
2022	A	`conf`	Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals. WACV Saloni Dash, Vineeth N. Balasubramanian, Amit Sharma
2022	J	`jnl`	Machine Explanations and Human Understanding. CoRR Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
2022	A*	`conf`	Matching Learned Causal Effects of Neural Networks with Domain Priors. ICML Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma
2022	J	`jnl`	Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization. CoRR Jivat Neet Kaur, Emre Kiciman, Amit Sharma
2022	A*	`conf`	Probing Classifiers are Unreliable for Concept Removal and Detection. NeurIPS Abhinav Kumar, Chenhao Tan, Amit Sharma
2022	J	`jnl`	Probing Classifiers are Unreliable for Concept Removal and Detection. CoRR Abhinav Kumar, Chenhao Tan, Amit Sharma
2022	J	`jnl`	Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems. CoRR Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
2021	A*	`conf`	"Can I Not Be Suicidal on a Sunday?": Understanding Technology-Mediated Pathways to Mental Health Support. CHI Sachin R. Pendse, Amit Sharma, Aditya Vashistha, Munmun De Choudhury, Neha Kumar
2021	J	`jnl`	Causal Regularization Using Domain Priors. CoRR Abbavaram Gowtham Reddy, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Amit Sharma
2021	J	`jnl`	Causally Constrained Data Synthesis for Private Data Release. CoRR Varun Chandrasekaran, Darren Edge, Somesh Jha, Amit Sharma, Cheng Zhang, Shruti Tople
2021	J	`jnl`	DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions. CoRR Amit Sharma, Vasilis Syrgkanis, Cheng Zhang, Emre Kiciman
2021	A*	`conf`	Domain Generalization using Causal Matching. ICML Divyat Mahajan, Shruti Tople, Amit Sharma
2021	—	`conf`	MINDNOTES : A Mobile Platform to enable users to break stigma around mental health and connect with therapists. CSCW Companion 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
2021	J	`jnl`	Omitted Variable Bias in Machine Learned Causal Models. CoRR Victor Chernozhukov, Carlos Cinelli, Whitney Newey, Amit Sharma, Vasilis Syrgkanis
2021	—	`conf`	Sayer: Using Implicit Feedback to Optimize System Policies. SoCC Mathias Lécuyer, Sang Hoon Kim, Mihir Nanavati, Junchen Jiang, Siddhartha Sen, Aleksandrs Slivkins, Amit Sharma
2021	J	`jnl`	Sayer: Using Implicit Feedback to Optimize System Policies. CoRR Mathias Lécuyer, Sang Hoon Kim, Mihir Nanavati, Junchen Jiang, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins
2021	A	`conf`	Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. WSDM Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
2021	J	`jnl`	Technology Readiness Levels for Machine Learning Systems. CoRR Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava J. Newman, Sujoy Ganguly, Danny Lange, Atilim Günes Baydin, Amit Sharma, Adam Gibson, Yarin Gal, Eric P. Xing, Chris Mattmann, James Parr
2021	J	`jnl`	The Connection between Out-of-Distribution Generalization and Privacy of ML Models. CoRR Divyat Mahajan, Shruti Tople, Amit Sharma
2021	A*	`conf`	The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. AAAI Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma
2021	C	`conf`	Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. AIES Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
2020	A*	`conf`	"Like Shock Absorbers": Understanding the Human Infrastructures of Technology-Mediated Mental Health Support. CHI Sachin R. Pendse, Faisal M. Lalani, Munmun De Choudhury, Amit Sharma, Neha Kumar
2020	A*	`conf`	Alleviating Privacy Attacks via Causal Learning. ICML Shruti Tople, Amit Sharma, Aditya Nori
2020	A*	`conf`	Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums. WWW Taisa Kushner, Amit Sharma
2020	J	`jnl`	Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums. CoRR Taisa Kushner, Amit Sharma
2020	A	`conf`	Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities. ICWSM Koustuv Saha, Amit Sharma
2020	—	`conf`	Causal Inference and Counterfactual Reasoning. COMAD/CODS Amit Sharma, Emre Kiciman
2020	J	`jnl`	Counterfactual Generation and Fairness Evaluation Using Adversarially Learned Inference. CoRR Saloni Dash, Amit Sharma
2020	J	`jnl`	DoWhy: An End-to-End Library for Causal Inference. CoRR Amit Sharma, Emre Kiciman
2020	J	`jnl`	Domain Generalization using Causal Matching. CoRR Divyat Mahajan, Shruti Tople, Amit Sharma
2020	A	`conf`	Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms. ICWSM Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma
2020	J	`jnl`	Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms. CoRR Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma
2020	—	`conf`	Explaining machine learning classifiers through diverse counterfactual explanations. FAT* Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan
2020	—	`conf`	Facilitating Media Distribution with Monetary Incentives. CHI Extended Abstracts Devansh Mehta, Alok Sharma, Ramaravind Kommiya Mothilal, Chiraag, Anurag Shukla, Vishnu Prasad, William Thies, Venkanna U, Colin Scott, Amit Sharma
2020	B	`conf`	Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi. LREC Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Anurag Shukla, Vishnu Prasad, Venkanna U, Amit Sharma, Kalika Bali
2020	J	`jnl`	Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi. CoRR Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Anurag Shukla, Vishnu Prasad, Venkanna U, Amit Sharma, Kalika Bali
2020	J	`jnl`	Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. CoRR Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
2020	J	`jnl`	The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. CoRR Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma
2020	J	`jnl`	Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. CoRR Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
2020	C	`conf`	Using Mobile Airtime Credits to Incentivize Learning, Sharing and Survey Response: Experiences from the Field. COMPASS Devansh Mehta, Ramaravind Kommiya Mothilal, Alok Sharma, William Thies, Amit Sharma
2019	J	`jnl`	Alleviating Privacy Attacks via Causal Learning. CoRR Shruti Tople, Amit Sharma, Aditya Nori
2019	A	`conf`	Causal Inference and Counterfactual Reasoning (3hr Tutorial). WSDM Emre Kiciman, Amit Sharma
2019	J	`jnl`	Cross-Cultural Differences in the Use of Online Mental Health Support Forums. Proc. ACM Hum. Comput. Interact. Sachin R. Pendse, Kate Niederhoffer, Amit Sharma
2019	J	`jnl`	Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations. CoRR Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan
2019	J	`jnl`	Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness Campaigns. Proc. ACM Hum. Comput. Interact. Saiganesh Swaminathan, Indrani Medhi-Thies, Devansh Mehta, Edward Cutrell, Amit Sharma, William Thies
2019	A*	`conf`	Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. KDD Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
2019	J	`jnl`	Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data. CoRR Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
2019	—	`conf`	Learnings from an Ongoing Deployment of an IVR-based Platform for Voter Awareness. CSCW Companion Ramaravind Kommiya Mothilal, Devansh Mehta, Alok Sharma, William Thies, Amit Sharma
2019	C	`conf`	Learnings from deploying a voice-based social platform for people with disability. COMPASS Karn Dubey, Palash Gupta, Rachna Shriwas, Gayatri Gulvady, Amit Sharma
2019	C	`conf`	Mental health in the global south: challenges and opportunities in HCI for development. COMPASS Sachin R. Pendse, Naveena Karusala, Divya Siddarth, Pattie Gonsalves, Seema Mehrotra, John A. Naslund, Mamta Sood, Neha Kumar, Amit Sharma
2019	A*	`conf`	Moments of Change: Analyzing Peer-Based Cognitive Support in Online Mental Health Forums. CHI Yada Pruksachatkun, Sachin R. Pendse, Amit Sharma
2019	C	`conf`	Optimizing peer referrals for public awareness using contextual bandits. COMPASS Ramaravind Kommiya Mothilal, Amulya Yadav, Amit Sharma
2019	J	`jnl`	Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers. CoRR Divyat Mahajan, Chenhao Tan, Amit Sharma
2019	J	`jnl`	Quantifying Infra-Marginality and Its Trade-off with Group Fairness. CoRR Arpita Biswas, Siddharth Barman, Amit Deshpande, Amit Sharma
2018	J	`jnl`	Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media. AI Mag. 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
2017	—	`conf`	Auditing Search Engines for Differential Satisfaction Across Demographics. WWW (Companion Volume) Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz
2017	J	`jnl`	Auditing Search Engines for Differential Satisfaction Across Demographics. CoRR Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz
2017	A	`conf`	FATREC Workshop on Responsible Recommendation. RecSys Michael D. Ekstrand, Amit Sharma
2017	Misc	`conf`	Harvesting Randomness to Optimize Distributed Systems. HotNets Mathias Lécuyer, Joshua Lockerman, Lamont Nelson, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins
2016	A*	`conf`	Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior. WWW Samuel Barbosa, Dan Cosley, Amit Sharma, Roberto M. Cesar Jr.
2016	J	`jnl`	Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior. CoRR Samuel Barbosa, Dan Cosley, Amit Sharma, Roberto M. Cesar Jr.
2016	A	`conf`	Distinguishing between Personal Preferences and Social Influence in Online Activity Feeds. CSCW Amit Sharma, Dan Cosley
2016	J	`jnl`	Distinguishing between Personal Preferences and Social Influence in Online Activity Feeds. CoRR Amit Sharma, Dan Cosley
2016	A*	`conf`	Exploring Limits to Prediction in Complex Social Systems. WWW Travis Martin, Jake M. Hofman, Amit Sharma, Ashton Anderson, Duncan J. Watts
2016	J	`jnl`	Exploring limits to prediction in complex social systems. CoRR Travis Martin, Jake M. Hofman, Amit Sharma, Ashton Anderson, Duncan J. Watts
2016	A	`conf`	Predictability of Popularity: Gaps between Prediction and Understanding. ICWSM Benjamin Shulman, Amit Sharma, Dan Cosley
2016	J	`jnl`	Predictability of Popularity: Gaps between Prediction and Understanding. CoRR Benjamin Shulman, Amit Sharma, Dan Cosley
2016	—	`ed.`	Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), Boston, USA, September 17, 2016. RecSys Posters Ido Guy, Amit Sharma
2016	J	`jnl`	Split-door criterion for causal identification: Automatic search for natural experiments. CoRR Amit Sharma, Jake M. Hofman, Duncan J. Watts
2015	A*	`conf`	Estimating the Causal Impact of Recommendation Systems from Observational Data. EC Amit Sharma, Jake M. Hofman, Duncan J. Watts
2015	J	`jnl`	Estimating the Causal Impact of Recommendation Systems from Observational Data. CoRR Amit Sharma, Jake M. Hofman, Duncan J. Watts
2015	A	`conf`	Studying and Modeling the Connection between People's Preferences and Content Sharing. CSCW Amit Sharma, Dan Cosley
2015	—	`—`	The Interplay of Personal Preference and Social Influence in Sharing Networks. Amit Sharma
2014	J	`jnl`	Algorithms for Generating Ordered Solutions for Explicit AND/OR Structures. CoRR Priyankar Ghosh, Amit Sharma, P. P. Chakrabarti, Pallab Dasgupta
2014	A	`conf`	Modeling the effect of people's preferences and social forces on adopting and sharing items. RecSys Amit Sharma
2014	J	`jnl`	Studying and Modeling the Connection between People's Preferences and Content Sharing. CoRR Amit Sharma, Dan Cosley
2013	—	`conf`	A Research Platform for Recommendation within Social Networks. RSWeb@RecSys Amit Sharma
2013	A*	`conf`	Algorithms for Generating Ordered Solutions for Explicit AND/OR Structures : Extended Abstract. IJCAI Priyankar Ghosh, Amit Sharma, Partha Pratim Chakrabarti, Pallab Dasgupta
2013	J	`jnl`	Do Social Explanations Work? Studying and Modeling the Effects of Social Explanations in Recommender Systems CoRR Amit Sharma, Dan Cosley
2013	A*	`conf`	Do social explanations work?: studying and modeling the effects of social explanations in recommender systems. WWW Amit Sharma, Dan Cosley
2013	J	`jnl`	Friends, Strangers, and the Value of Ego Networks for Recommendation CoRR Amit Sharma, Mevlana Gemici, Dan Cosley
2013	A	`conf`	Friends, Strangers, and the Value of Ego Networks for Recommendation. ICWSM Amit Sharma, Mevlana Gemici, Dan Cosley
2013	A	`conf`	Pairwise learning in recommendation: experiments with community recommendation on linkedin. RecSys Amit Sharma, Baoshi Yan
2013	—	`conf`	PopCore: a system for network-centric recommendation. CSCW Companion Amit Sharma
2012	J	`jnl`	Algorithms for Generating Ordered Solutions for Explicit AND/OR Structures. J. Artif. Intell. Res. Priyankar Ghosh, Amit Sharma, P. P. Chakrabarti, Pallab Dasgupta
2011	—	`conf`	Network-Centric Recommendation: Personalization with and in Social Networks. SocialCom/PASSAT Amit Sharma, Dan Cosley
2011	—	`conf`	ReComp: QoS-aware recursive service composition at minimum cost. Integrated Network Management Vimmi Jaiswal, Amit Sharma, Akshat Verma