Theoretically Optimal Distributed Anomaly Detection. - Aleksandar Lazarevic; Nisheeth Srivastava; Ashutosh Tiwari; Josh Isom; Nikunj C. Oza; Jaideep Srivastava (ICDM Workshops, 2009)

Evolvability need not imply learnability - Nisheeth Srivastava (CoRR, 2009)

A value-relativistic decision theory predicts known biases in human preferences. - Nisheeth Srivastava; Paul R. Schrater (CogSci, 2011)

A cognitive basis for theories of intrinsic motivation. - Nisheeth Srivastava; Komal Kapoor; Paul R. Schrater (ICDL-EPIROB, 2011)

Cognitive Efficiency as a Causal Mechanism for Social Preferences. - Nisheeth Srivastava; Paul R. Schrater (SocialCom/PASSAT, 2011)

Early Prediction of Potentially Preventable Events in Ambulatory Care Sensitive Admissions from Clinical Data. - Prasanna Kumar Desikan; Nisheeth Srivastava; Tamara Winden; Tammie Lindquist; Heather Britt; Jaideep Srivastava (HISB, 2012)

Using POMDPs to Control an Accuracy-Processing Time Trade-Off in Video Surveillance. - Komal Kapoor; Christopher Amato; Nisheeth Srivastava; Paul R. Schrater (IAAI, 2012)

Rational inference of relative preferences. - Nisheeth Srivastava; Paul R. Schrater (NIPS, 2012)

Characterizing the Internet's Sense of Humor. - Amogh Mahapatra; Nisheeth Srivastava; Jaideep Srivastava (SocialCom/PASSAT, 2012)

Contextual Anomaly Detection in Text Data. - Amogh Mahapatra; Nisheeth Srivastava; Jaideep Srivastava (Algorithms, 2012)

Measuring spontaneous devaluations in user preferences. - Komal Kapoor; Nisheeth Srivastava; Jaideep Srivastava; Paul R. Schrater (KDD, 2013)

Classical conditioning via inference over observable situation contexts. - Nisheeth Srivastava; Paul R. Schrater (CogSci, 2014)

Frugal preference formation. - Nisheeth Srivastava; Paul R. Schrater (CogSci, 2014)

Magnitude-sensitive preference formation. - Nisheeth Srivastava; Ed Vul; Paul R. Schrater (NIPS, 2014)

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 (CogSci, 2015)

The spiral of anxiety: a cognitive account. - Nisheeth Srivastava (CogSci, 2015)

Attention dynamics in multiple object tracking. - Nisheeth Srivastava; Ed Vul (CogSci, 2015)

Choosing fast and slow: explaining differences between hedonic and utilitarian choices. - Nisheeth Srivastava; Ed Vul (CogSci, 2015)

Modeling sampling duration in decisions from experience. - Nisheeth Srivastava; Johannes Müller-Trede; Paul R. Schrater; Edward Vul (CogSci, 2016)

Attention Modulates Spatial Precision in Multiple-Object Tracking. - Nisheeth Srivastava; Ed Vul (Top. Cogn. Sci., 2016)

Memory of relative magnitude judgments informs absolute identification. - Nisheeth Srivastava (CogSci, 2017)

A rational analysis of marketing strategies. - Nisheeth Srivastava; Ed Vul (CogSci, 2017)

Rationalizing subjective probability distortions. - Nisheeth Srivastava; Ed Vul (CogSci, 2017)

A simple model of recognition and recall memory. - Nisheeth Srivastava; Edward Vul (NIPS, 2017)

Measuring Conceptual Incongruity from Text-Based Annotations. - Nisheeth Srivastava (IHCI, 2018)

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; et al. (NSDI, 2018)

Recombinant Enaction: Manipulatives Generate New Procedures in the Imagination, by Extending and Recombining Action Spaces. - Jeenath Rahaman; Harshit Agrawal; Nisheeth Srivastava; Sanjay Chandrasekharan (Cogn. Sci., 2018)

Effective extractive summarization using frequency-filtered entity relationship graphs. - Archit Sakhadeo; Nisheeth Srivastava (CoRR, 2018)

New tab page recommendations cause a strong suppression of exploratory web browsing behaviors. - Homanga Bharadhwaj; Nisheeth Srivastava (CoRR, 2018)

Planning failures induced by budgetary overruns cause intertemporal impulsivity. - Arjun Mitra; Narayanan Srinivasan 001; Nisheeth Srivastava (CogSci, 2019)

Evidence for effort prediction in perceptual decisions. - Nisheeth Srivastava (CogSci, 2019)

Decision-makers minimize regret when calculating regret is easy. - Nisheeth Srivastava (CogSci, 2019)

Predicting Body Size Using Mirror Selfies. - Meet Sheth; Nisheeth Srivastava (IHCI, 2019)

Targeted Example Generation for Compilation Errors. - Umair Z. Ahmed; Renuka Sindhgatta; Nisheeth Srivastava; Amey Karkare (ASE, 2019)

New Tab Page Recommendations Strongly Concentrate Web Browsing to Familiar Sources. - Homanga Bharadhwaj; Nisheeth Srivastava (WebSci, 2019)

Inducing preference reversals by manipulating revealed preferences. - Harish Balakrishnan; Shobhit Jagga; Nisheeth Srivastava (CogSci, 2020)

Limits on Predictability of Risky Choice Behavior. - Anjali Sifar; Nisheeth Srivastava (CogSci, 2020)

Characterizing the pedagogical benefits of adaptive feedback for compilation errors by novice programmers. - Umair Z. Ahmed; Nisheeth Srivastava; Renuka Sindhgatta; Amey Karkare (ICSE (SEET), 2020)

A Recommender System for Informal Bibliotherapy. - Jatin Aswal; Nisheeth Srivastava (HealthRecSys@RecSys, 2020)

Using conceptual incongruity as a basis for making recommendations. - Tushar Shandhilya; Nisheeth Srivastava (RecSys, 2020)

Federated matched averaging with information-gain based parameter sampling. - Sharad Shukla; Nisheeth Srivastava (AIMLSystems, 2021)

Modeling procrastination as rational metareasoning about task effort. - Shobhit Jagga; Narayanan Srinivasan 001; Nisheeth Srivastava (CogSci, 2021)

One and known: Incidental probability judgments from very few samples. - Ishan Singhal; Narayanan Srinivasan 001; Nisheeth Srivastava (CogSci, 2021)

Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract). - Anjali Sifar; Nisheeth Srivastava (IJCAI, 2021)

Sampling-based probability construction explains individual differences in risk preference. - Bhanu Prakash Ankoju; Nisheeth Srivastava (CogSci, 2022)

Selecting between visuomotor lotteries to measure mental effort in risky decisions. - Samarth Mehrotra; Nisheeth Srivastava (CogSci, 2022)

Tracking Multiple Objects without Indexes. - Shubhamkar Ayare; Nisheeth Srivastava (CogSci, 2023)

Groups are Better than Individuals at Solving Optimum Stopping Problems. - Pritam Laskar; Nisheeth Srivastava (CogSci, 2023)

Measuring the time utility of mental effort. - Samarth Mehrotra; Nisheeth Srivastava (CogSci, 2023)

Unpredictability shortens planning horizons. - Arjun Mitra; Nisheeth Srivastava; Narayanan Srinivasan 001 (CogSci, 2023)

Measuring Moral Vacillations. - Revati Vijay Shivnekar; Nisheeth Srivastava (CogSci, 2023)

Measuring the completeness of race models for perceptual decision-making. - Anjali Sifar; Hariharan Purohit; Nisheeth Srivastava (CogSci, 2023)

Using Learnable Physics for Real-Time Exercise Form Recommendations. - Abhishek Jaiswal; Gautam Chauhan; Nisheeth Srivastava (RecSys, 2023)

Understanding Clique Formation in Social Networks - An Agent-Based Model of Social Preferences in Fixed and Dynamic Networks. - Pratyush Arya; Nisheeth Srivastava (SBP-BRiMS, 2023)

Benchmarking Reliability of Deep Learning Models for Pathological Gait Classification. - Abhishek Jaiswal; Nisheeth Srivastava (MLHC, 2024)

Learning to Play Video Games with Intuitive Physics Priors. - Abhishek Jaiswal; Nisheeth Srivastava (CoRR, 2024)

Characterizing the roles of preference homophily and network structure on outcomes of consensus games. - Pratyush Arya; Nisheeth Srivastava (Comput. Math. Organ. Theory, 2025)

Real-Time Feedback and Benchmark Dataset for Isometric Pose Evaluation. - Abhishek Jaiswal; Armeet Singh Luthra; Purav Jangir; Bhavya Garg; Nisheeth Srivastava (CoRR, 2025)

Posture-Driven Action Intent Inference for Playing style and Fatigue Assessment. - Abhishek Jaiswal; Nisheeth Srivastava (CoRR, 2025)