| 2025 | CogSci | Testing the Zeigarnik effect in spontaneous memory recall during mind-wandering. | Kshiteesh Bhardwaj, Nisheeth Srivastava |
| 2025 | CogSci | A metacognitive appraisal of quitting. | Hariharan Purohit, Nisheeth Srivastava |
| 2025 | CogSci | Gaze signatures of cognitive conflict while choosing and solving. | Revati Shivnekar, Nisheeth Srivastava |
| 2024 | CogSci | Learning to Play Video Games with Intuitive Physics Priors. | Abhishek Jaiswal, Nisheeth Srivastava |
| 2024 | CogSci | How robust are fMRI and EEG data to alternative specifications in representational similarity analyses? | Satwick Sen Sarma, Gouravmoy Boruah, Nisheeth Srivastava |
| 2023 | CogSci | Tracking Multiple Objects without Indexes. | Shubhamkar Ayare, Nisheeth Srivastava |
| 2023 | CogSci | Groups are Better than Individuals at Solving Optimum Stopping Problems. | Pritam Laskar, Nisheeth Srivastava |
| 2023 | CogSci | Measuring the time utility of mental effort. | Samarth Mehrotra, Nisheeth Srivastava |
| 2023 | CogSci | Unpredictability shortens planning horizons. | Arjun Mitra, Nisheeth Srivastava, Narayanan Srinivasan |
| 2023 | CogSci | Measuring Moral Vacillations. | Revati Vijay Shivnekar, Nisheeth Srivastava |
| 2023 | CogSci | Measuring the completeness of race models for perceptual decision-making. | Anjali Sifar, Hariharan Purohit, Nisheeth Srivastava |
| 2023 | RecSys | Using Learnable Physics for Real-Time Exercise Form Recommendations. | Abhishek Jaiswal, Gautam Chauhan, Nisheeth Srivastava |
| 2022 | CogSci | Sampling-based probability construction explains individual differences in risk preference. | Bhanu Prakash Ankoju, Nisheeth Srivastava |
| 2022 | CogSci | Selecting between visuomotor lotteries to measure mental effort in risky decisions. | Samarth Mehrotra, Nisheeth Srivastava |
| 2021 | CogSci | Modeling procrastination as rational metareasoning about task effort. | Shobhit Jagga, Narayanan Srinivasan, Nisheeth Srivastava |
| 2021 | CogSci | One and known: Incidental probability judgments from very few samples. | Ishan Singhal, Narayanan Srinivasan, Nisheeth Srivastava |
| 2021 | IJCAI | Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract). | Anjali Sifar, Nisheeth Srivastava |
| 2020 | CogSci | Inducing preference reversals by manipulating revealed preferences. | Harish Balakrishnan, Shobhit Jagga, Nisheeth Srivastava |
| 2020 | CogSci | Limits on Predictability of Risky Choice Behavior. | Anjali Sifar, Nisheeth Srivastava |
| 2020 | ICSE | Characterizing the pedagogical benefits of adaptive feedback for compilation errors by novice programmers. | Umair Z. Ahmed, Nisheeth Srivastava, Renuka Sindhgatta, Amey Karkare |
| 2020 | RecSys | A Recommender System for Informal Bibliotherapy. | Jatin Aswal, Nisheeth Srivastava |
| 2020 | RecSys | Using conceptual incongruity as a basis for making recommendations. | Tushar Shandhilya, Nisheeth Srivastava |
| 2019 | CogSci | Planning failures induced by budgetary overruns cause intertemporal impulsivity. | Arjun Mitra, Narayanan Srinivasan, Nisheeth Srivastava |
| 2019 | CogSci | Evidence for effort prediction in perceptual decisions. | Nisheeth Srivastava |
| 2019 | CogSci | Decision-makers minimize regret when calculating regret is easy. | Nisheeth Srivastava |
| 2018 | NSDI | Azure Accelerated Networking: SmartNICs in the Public Cloud. | Daniel Firestone, Andrew Putnam, Sambrama Mundkur, Derek Chiou, Alireza Dabagh, Mike Andrewartha, Hari Angepat, Vivek Bhanu, Adrian M. Caulfield, Eric S. Chung, Harish Kumar Chandrappa, Somesh Chaturmohta, Matt Humphrey, Jack Lavier, Norman Lam, Fengfen Liu, Kalin Ovtcharov, Jitu Padhye, Gautham Popuri, Shachar Raindel, Tejas Sapre, Mark Shaw, Gabriel Silva, Madhan Sivakumar, Nisheeth Srivastava, Anshuman Verma, Qasim Zuhair, Deepak Bansal, Doug Burger, Kushagra Vaid, David A. Maltz, Albert G. Greenberg |
| 2017 | CogSci | Memory of relative magnitude judgments informs absolute identification. | Nisheeth Srivastava |
| 2017 | CogSci | A rational analysis of marketing strategies. | Nisheeth Srivastava, Ed Vul |
| 2017 | CogSci | Rationalizing subjective probability distortions. | Nisheeth Srivastava, Ed Vul |
| 2016 | CogSci | Modeling sampling duration in decisions from experience. | Nisheeth Srivastava, Johannes Mller-Trede, Paul R. Schrater, Edward Vul |
| 2015 | CogSci | Eye to I: Males Recognize Own Eye Movements, Females Inhibit Recognition. | Sanjay Chandrasekharan, Geetanjali Date, Prajakt Pande, Jeenath Rahaman, Rafikh Shaikh, Anveshna Srivastava, Nisheeth Srivastava, Harshit Agrawal |
| 2015 | CogSci | The spiral of anxiety: a cognitive account. | Nisheeth Srivastava |
| 2015 | CogSci | Attention dynamics in multiple object tracking. | Nisheeth Srivastava, Ed Vul |
| 2015 | CogSci | Choosing fast and slow: explaining differences between hedonic and utilitarian choices. | Nisheeth Srivastava, Ed Vul |
| 2014 | CogSci | Classical conditioning via inference over observable situation contexts. | Nisheeth Srivastava, Paul R. Schrater |
| 2014 | CogSci | Frugal preference formation. | Nisheeth Srivastava, Paul R. Schrater |
| 2013 | KDD | Measuring spontaneous devaluations in user preferences. | Komal Kapoor, Nisheeth Srivastava, Jaideep Srivastava, Paul R. Schrater |
| 2012 | IAAI | Using POMDPs to Control an Accuracy-Processing Time Trade-Off in Video Surveillance. | Komal Kapoor, Christopher Amato, Nisheeth Srivastava, Paul R. Schrater |
| 2011 | CogSci | A value-relativistic decision theory predicts known biases in human preferences. | Nisheeth Srivastava, Paul R. Schrater |
| 2009 | ICDM | Theoretically Optimal Distributed Anomaly Detection. | Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tiwari, Josh Isom, Nikunj C. Oza, Jaideep Srivastava |