Abhimanyu Das

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 33

Top Topics

Temporal Analysis

Subset Selection

Maximum Likelihood Estimation

Top Venues

Publications

Reese Pathak, Rajat Sen, Weihao Kong, Abhimanyu Das
Transformers can optimally learn regression mixture models. ICLR (2024)
Ashok Cutkosky, Abhimanyu Das, Weihao Kong, Chansoo Lee, Rajat Sen
Blackbox optimization of unimodal functions. UAI (2023)
Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan Mathur, Rajat Sen, Rose Yu
Long-term Forecasting with TiDE: Time-series Dense Encoder. CoRR (2023)
Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou
A decoder-only foundation model for time-series forecasting. CoRR (2023)
Reese Pathak, Rajat Sen, Weihao Kong, Abhimanyu Das
Transformers can optimally learn regression mixture models. CoRR (2023)
Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting. UAI (2023)
Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan Mathur, Rajat Sen, Rose Yu
Long-term Forecasting with TiDE: Time-series Dense Encoder. Trans. Mach. Learn. Res. 2023 (2023)
Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky
Linear Regression using Heterogeneous Data Batches. CoRR (2023)
Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen
Efficient List-Decodable Regression using Batches. ICML (2023)
Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen
Efficient List-Decodable Regression using Batches. CoRR (2022)
Pranjal Awasthi, Abhimanyu Das, Rajat Sen, Ananda Theertha Suresh
On the benefits of maximum likelihood estimation for Regression and Forecasting. ICLR (2022)
Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen
A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting. CoRR (2022)
Weihao Kong, Rajat Sen, Pranjal Awasthi, Abhimanyu Das
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models. CoRR (2022)
Pranjal Awasthi, Abhimanyu Das, Weihao Kong, Rajat Sen
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model. NeurIPS (2022)
Ashok Cutkosky, Christoph Dann, Abhimanyu Das, Qiuyi (Richard) Zhang
Leveraging Initial Hints for Free in Stochastic Linear Bandits. ALT (2022)
Ashok Cutkosky, Christoph Dann, Abhimanyu Das, Qiuyi (Richard) Zhang
Leveraging Initial Hints for Free in Stochastic Linear Bandits. CoRR (2022)
Pranjal Awasthi, Abhimanyu Das, Sreenivas Gollapudi
Beyond GNNs: An Efficient Architecture for Graph Problems. AAAI (2022)
Pranjal Awasthi, Abhimanyu Das, Sreenivas Gollapudi
A Convergence Analysis of Gradient Descent on Graph Neural Networks. NeurIPS (2021)
Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks. CoRR (2021)
Pranjal Awasthi, Abhimanyu Das, Rajat Sen, Ananda Theertha Suresh
On the benefits of maximum likelihood estimation for Regression and Forecasting. CoRR (2021)
Ayya Alieva, Ashok Cutkosky, Abhimanyu Das
Robust Pure Exploration in Linear Bandits with Limited Budget. ICML (2021)
Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks. ICLR (2021)
Ashok Cutkosky, Christoph Dann, Abhimanyu Das, Claudio Gentile, Aldo Pacchiano, Manish Purohit
Dynamic Balancing for Model Selection in Bandits and RL. ICML (2021)
Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das
Hierarchically Regularized Deep Forecasting. CoRR (2021)
Ashok Cutkosky, Abhimanyu Das, Manish Purohit
Upper Confidence Bounds for Combining Stochastic Bandits. CoRR (2020)
Abhimanyu Das, Sreenivas Gollapudi, Ravi Kumar, Rina Panigrahy
On the Learnability of Random Deep Networks. SODA (2020)
Atish Agarwala, Abhimanyu Das, Rina Panigrahy, Qiuyi Zhang
Learning the gravitational force law and other analytic functions. CoRR (2020)
Abhimanyu Das, Sreenivas Gollapudi, Ravi Kumar, Rina Panigrahy
On the Learnability of Deep Random Networks. CoRR (2019)
Abhimanyu Das, David Kempe
Approximate Submodularity and its Applications: Subset Selection, Sparse Approximation and Dictionary Selection. J. Mach. Learn. Res. 19 (2018)
Abhimanyu Das, Sreenivas Gollapudi, Anthony Kim, Debmalya Panigrahi, Chaitanya Swamy
Minimizing Latency in Online Ride and Delivery Services. CoRR (2018)
Abhimanyu Das, Sreenivas Gollapudi, Anthony Kim, Debmalya Panigrahi, Chaitanya Swamy
Minimizing Latency in Online Ride and Delivery Services. WWW (2018)
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol
Information dissemination in heterogeneous-intent networks. WebSci (2016)
Shuxin Nie, Abhimanyu Das, Evgeniy Gabrilovich, Wei-Lwun Lu, Boris Mazniker, Chris Schilling
STEPS: Predicting place attributes via spatio-temporal analysis. CoRR (2016)
Flavio Chierichetti, Abhimanyu Das, Anirban Dasgupta, Ravi Kumar
Approximate Modularity. FOCS (2015)
Abhimanyu Das, Sreenivas Gollapudi, Arindam Khan, Renato Paes Leme
Role of conformity in opinion dynamics in social networks. COSN (2014)
Abhimanyu Das, Sreenivas Gollapudi, Kamesh Munagala
Modeling opinion dynamics in social networks. WSDM (2014)
Amr Ahmed, Abhimanyu Das, Alexander J. Smola
Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising. WSDM (2014)
Abhimanyu Das, Anitha Kannan
Discovering Topical Aspects in Microblogs. COLING (2014)
James Cook, Abhimanyu Das, Krishnaram Kenthapadi, Nina Mishra
Ranking Twitter discussion groups. COSN (2014)
Abhimanyu Das, Sreenivas Gollapudi, Rina Panigrahy, Mahyar Salek
Debiasing social wisdom. KDD (2013)
Abhimanyu Das, Anirban Dasgupta, Ravi Kumar
Selecting Diverse Features via Spectral Regularization. NIPS (2012)
Neha Gupta, Abhimanyu Das, Sandeep Pandey, Vijay K. Narayanan
Factoring past exposure in display advertising targeting. KDD (2012)
Amr Ahmed, Mohamed Aly, Abhimanyu Das, Alexander J. Smola, Tasos Anastasakos
Web-scale multi-task feature selection for behavioral targeting. CIKM (2012)
Abhimanyu Das, David Kempe
Estimating the Average of a Lipschitz-Continuous Function from One Sample CoRR (2011)
Abhimanyu Das, David Kempe
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection CoRR (2011)
Abhimanyu Das, David Kempe
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection. ICML (2011)
Abhimanyu Das, David Kempe
Estimating the Average of a Lipschitz-Continuous Function from One Sample. ESA (1) (2010)
Abhimanyu Das, David Kempe
Sensor Selection for Minimizing Worst-Case Prediction Error. IPSN (2008)
Abhimanyu Das, David Kempe
Algorithms for subset selection in linear regression. STOC (2008)
David A. Caron, Abhimanyu Das, Amit Dhariwal, Leana Golubchik, Ramesh Govindan, David Kempe, Carl Oberg, Abhishek B. Sharma, Beth Stauffer, Gaurav S. Sukhatme, Bin Zhang
AMBROSia: An Autonomous Model-Based Reactive Observing System. International Conference on Computational Science (1) (2007)
Jason Nikitczuk, Abhimanyu Das, Harsh Vyas, Brian Weinberg, Constantinos Mavroidis
Adaptive Torque Control of Electro-rheological Fluid Brakes used in Active Knee Rehabilitation Devices. ICRA (2006)
Leana Golubchik, David A. Caron, Abhimanyu Das, Amit Dhariwal, Ramesh Govindan, David Kempe, Carl Oberg, Abhishek B. Sharma, Beth Stauffer, Gaurav S. Sukhatme, Bin Zhang
A Generic Multi-scale Modeling Framework for Reactive Observing Systems: An Overview. International Conference on Computational Science (3) (2006)
Abhimanyu Das, Debojyoti Dutta, Ahmed Helmy, Ashish Goel, John S. Heidemann
Low-state fairness: lower bounds and practical enforcement. INFOCOM (2005)
Abhimanyu Das, Debojyoti Dutta
Data acquisition in multiple-sink sensor networks. ACM SIGMOBILE Mob. Comput. Commun. Rev. 9 (3) (2005)
Abhimanyu Das, Debojyoti Dutta, Ahmed Helmy
A low-state packet marking framework for approximate fair bandwidth allocation. IEEE Commun. Lett. 8 (9) (2004)
Abhimanyu Das, Debojyoti Dutta
Data acquisition in multiple-sink sensor networks. SenSys (2004)
Vishal Sharma, Abhimanyu Das, Charles Chen
On the Issues in Implementing the Peer Model in Integrated Optical Networks. Photonic Netw. Commun. 8 (1) (2004)
Vishal Sharma, Abhimanyu Das, Charles Chen
Leveraging IP signaling and routing to manage UPSR-based transport networks. ICC (2003)
Abhimanyu Das, Debojyoti Dutta, Ahmed Helmy
Fair Stateless Aggregate Traffic Marking using Active Queue Management Techniques CoRR (2002)
Abhimanyu Das, Debojyoti Dutta, Ahmed Helmy
Fair Stateless Aggregate Traffic Marking Using Active Queue Management Techniques. MMNS (2002)