Nisheeth Srivastava

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 38

Top Topics

Tracking Multiple Objects

Novice Programmers

Making Recommendations

Top Venues

Publications

Abhishek Jaiswal, Gautam Chauhan, Nisheeth Srivastava
Using Learnable Physics for Real-Time Exercise Form Recommendations. CoRR (2023)
Pratyush Arya, Nisheeth Srivastava
Understanding Clique Formation in Social Networks - An Agent-Based Model of Social Preferences in Fixed and Dynamic Networks. SBP-BRiMS (2023)
Shubhamkar Ayare, Nisheeth Srivastava
Tracking Multiple Objects without Indexes. CogSci (2023)
Anjali Sifar, Hariharan Purohit, Nisheeth Srivastava
Measuring the completeness of race models for perceptual decision-making. CogSci (2023)
Abhishek Jaiswal, Gautam Chauhan, Nisheeth Srivastava
Using Learnable Physics for Real-Time Exercise Form Recommendations. RecSys (2023)
Pritam Laskar, Nisheeth Srivastava
Groups are Better than Individuals at Solving Optimum Stopping Problems. CogSci (2023)
Revati Vijay Shivnekar, Nisheeth Srivastava
Measuring Moral Vacillations. CogSci (2023)
Arjun Mitra, Nisheeth Srivastava, Narayanan Srinivasan
Unpredictability shortens planning horizons. CogSci (2023)
Samarth Mehrotra, Nisheeth Srivastava
Measuring the time utility of mental effort. CogSci (2023)
Samarth Mehrotra, Nisheeth Srivastava
Selecting between visuomotor lotteries to measure mental effort in risky decisions. CogSci (2022)
Bhanu Prakash Ankoju, Nisheeth Srivastava
Sampling-based probability construction explains individual differences in risk preference. CogSci (2022)
Sharad Shukla, Nisheeth Srivastava
Federated matched averaging with information-gain based parameter sampling. AIMLSystems (2021)
Shobhit Jagga, Narayanan Srinivasan, Nisheeth Srivastava
Modeling procrastination as rational metareasoning about task effort. CogSci (2021)
Ishan Singhal, Narayanan Srinivasan, Nisheeth Srivastava
One and known: Incidental probability judgments from very few samples. CogSci (2021)
Anjali Sifar, Nisheeth Srivastava
Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract). IJCAI (2021)
Umair Z. Ahmed, Nisheeth Srivastava, Renuka Sindhgatta, Amey Karkare
Characterizing the pedagogical benefits of adaptive feedback for compilation errors by novice programmers. ICSE (SEET) (2020)
Jatin Aswal, Nisheeth Srivastava
A Recommender System for Informal Bibliotherapy. HealthRecSys@RecSys (2020)
Harish Balakrishnan, Shobhit Jagga, Nisheeth Srivastava
Inducing preference reversals by manipulating revealed preferences. CogSci (2020)
Tushar Shandhilya, Nisheeth Srivastava
Using conceptual incongruity as a basis for making recommendations. RecSys (2020)
Anjali Sifar, Nisheeth Srivastava
Limits on Predictability of Risky Choice Behavior. CogSci (2020)
Nisheeth Srivastava
Decision-makers minimize regret when calculating regret is easy. CogSci (2019)
Meet Sheth, Nisheeth Srivastava
Predicting Body Size Using Mirror Selfies. IHCI (2019)
Umair Z. Ahmed, Renuka Sindhgatta, Nisheeth Srivastava, Amey Karkare
Targeted Example Generation for Compilation Errors. CoRR (2019)
Umair Z. Ahmed, Renuka Sindhgatta, Nisheeth Srivastava, Amey Karkare
Targeted Example Generation for Compilation Errors. ASE (2019)
Nisheeth Srivastava
Evidence for effort prediction in perceptual decisions. CogSci (2019)
Arjun Mitra, Narayanan Srinivasan, Nisheeth Srivastava
Planning failures induced by budgetary overruns cause intertemporal impulsivity. CogSci (2019)
Homanga Bharadhwaj, Nisheeth Srivastava
New Tab Page Recommendations Strongly Concentrate Web Browsing to Familiar Sources. WebSci (2019)
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
Azure Accelerated Networking: SmartNICs in the Public Cloud. NSDI (2018)
Homanga Bharadhwaj, Nisheeth Srivastava
New tab page recommendations cause a strong suppression of exploratory web browsing behaviors. CoRR (2018)
Jeenath Rahaman, Harshit Agrawal, Nisheeth Srivastava, Sanjay Chandrasekharan
Recombinant Enaction: Manipulatives Generate New Procedures in the Imagination, by Extending and Recombining Action Spaces. Cogn. Sci. 42 (2) (2018)
Archit Sakhadeo, Nisheeth Srivastava
Effective extractive summarization using frequency-filtered entity relationship graphs. CoRR (2018)
Nisheeth Srivastava
Measuring Conceptual Incongruity from Text-Based Annotations. IHCI (2018)
Nisheeth Srivastava, Ed Vul
A rational analysis of marketing strategies. CogSci (2017)
Nisheeth Srivastava, Ed Vul
Rationalizing subjective probability distortions. CogSci (2017)
Nisheeth Srivastava, Edward Vul
A simple model of recognition and recall memory. NIPS (2017)
Nisheeth Srivastava
Memory of relative magnitude judgments informs absolute identification. CogSci (2017)
Nisheeth Srivastava, Johannes Müller-Trede, Paul R. Schrater, Edward Vul
Modeling sampling duration in decisions from experience. CogSci (2016)
Nisheeth Srivastava, Ed Vul
Attention Modulates Spatial Precision in Multiple-Object Tracking. Top. Cogn. Sci. 8 (1) (2016)
Nisheeth Srivastava, Ed Vul
Choosing fast and slow: explaining differences between hedonic and utilitarian choices. CogSci (2015)
Sanjay Chandrasekharan, Geetanjali Date, Prajakt Pande, Jeenath Rahaman, Rafikh Shaikh, Anveshna Srivastava, Nisheeth Srivastava, Harshit Agrawal
Eye to I: Males Recognize Own Eye Movements, Females Inhibit Recognition. CogSci (2015)
Nisheeth Srivastava, Ed Vul
Attention dynamics in multiple object tracking. CogSci (2015)
Nisheeth Srivastava
The spiral of anxiety: a cognitive account. CogSci (2015)
Nisheeth Srivastava, Paul R. Schrater
Classical conditioning via inference over observable situation contexts. CogSci (2014)
Nisheeth Srivastava, Paul R. Schrater
Frugal preference formation. CogSci (2014)
Nisheeth Srivastava, Ed Vul, Paul R. Schrater
Magnitude-sensitive preference formation. NIPS (2014)
Komal Kapoor, Nisheeth Srivastava, Jaideep Srivastava, Paul R. Schrater
Measuring spontaneous devaluations in user preferences. KDD (2013)
Nisheeth Srivastava, Paul R. Schrater
Rational inference of relative preferences. NIPS (2012)
Amogh Mahapatra, Nisheeth Srivastava, Jaideep Srivastava
Contextual Anomaly Detection in Text Data. Algorithms 5 (4) (2012)
Amogh Mahapatra, Nisheeth Srivastava, Jaideep Srivastava
Characterizing the Internet's Sense of Humor. SocialCom/PASSAT (2012)
Prasanna Kumar Desikan, Nisheeth Srivastava, Tamara Winden, Tammie Lindquist, Heather Britt, Jaideep Srivastava
Early Prediction of Potentially Preventable Events in Ambulatory Care Sensitive Admissions from Clinical Data. HISB (2012)
Komal Kapoor, Christopher Amato, Nisheeth Srivastava, Paul R. Schrater
Using POMDPs to Control an Accuracy-Processing Time Trade-Off in Video Surveillance. IAAI (2012)
Nisheeth Srivastava, Paul R. Schrater
Cognitive Efficiency as a Causal Mechanism for Social Preferences. SocialCom/PASSAT (2011)
Nisheeth Srivastava, Paul R. Schrater
A value-relativistic decision theory predicts known biases in human preferences. CogSci (2011)
Nisheeth Srivastava, Komal Kapoor, Paul R. Schrater
A cognitive basis for theories of intrinsic motivation. ICDL-EPIROB (2011)
Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tiwari, Josh Isom, Nikunj C. Oza, Jaideep Srivastava
Theoretically Optimal Distributed Anomaly Detection. ICDM Workshops (2009)
Nisheeth Srivastava
Evolvability need not imply learnability CoRR (2009)