Transformers can optimally learn regression mixture models. - Pathak, Reese; Sen, Rajat; Kong, Weihao; Das, Abhimanyu (2024)

A decoder-only foundation model for time-series forecasting. - Das, Abhimanyu; Kong, Weihao; Sen, Rajat; Zhou, Yichen (2024)

Linear Regression using Heterogeneous Data Batches. - Jain, Ayush; Sen, Rajat; Kong, Weihao; Das, Abhimanyu; Orlitsky, Alon (2024)

In-Context Fine-Tuning for Time-Series Foundation Models. - Das, Abhimanyu; Faw, Matthew; Sen, Rajat; Zhou, Yichen (CoRR, 2024)

Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data. - Kim, Kai; Tsai, Howard; Sen, Rajat; Das, Abhimanyu; Zhou, Zihao; Tanpure, Abhishek; Luo, Mathew; Yu, Rose (CoRR, 2024)

Long-term Forecasting with TiDE: Time-series Dense Encoder. - Das, Abhimanyu; Kong, Weihao; Leach, Andrew; Mathur, Shaan; Sen, Rajat; Yu, Rose (Trans. Mach. Learn. Res., 2023)

Efficient List-Decodable Regression using Batches. - Das, Abhimanyu; Jain, Ayush; Kong, Weihao; Sen, Rajat (2023)

Blackbox optimization of unimodal functions. - Cutkosky, Ashok; Das, Abhimanyu; Kong, Weihao; Lee, Chansoo; Sen, Rajat (2023)

Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting. - Das, Abhimanyu; Kong, Weihao; Paria, Biswajit; Sen, Rajat (2023)

Long-term Forecasting with TiDE: Time-series Dense Encoder. - Das, Abhimanyu; Kong, Weihao; Leach, Andrew; Mathur, Shaan; Sen, Rajat; Yu, Rose (CoRR, 2023)

Linear Regression using Heterogeneous Data Batches. - Jain, Ayush; Sen, Rajat; Kong, Weihao; Das, Abhimanyu; Orlitsky, Alon (CoRR, 2023)

A decoder-only foundation model for time-series forecasting. - Das, Abhimanyu; Kong, Weihao; Sen, Rajat; Zhou, Yichen (CoRR, 2023)

Transformers can optimally learn regression mixture models. - Pathak, Reese; Sen, Rajat; Kong, Weihao; Das, Abhimanyu (CoRR, 2023)

Beyond GNNs: An Efficient Architecture for Graph Problems. - Awasthi, Pranjal; Das, Abhimanyu; Gollapudi, Sreenivas (2022)

Leveraging Initial Hints for Free in Stochastic Linear Bandits. - Cutkosky, Ashok; Dann, Christoph; Das, Abhimanyu; Zhang, Qiuyi (Richard) (2022)

On the benefits of maximum likelihood estimation for Regression and Forecasting. - Awasthi, Pranjal; Das, Abhimanyu; Sen, Rajat; Suresh, Ananda Theertha (2022)

Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model. - Awasthi, Pranjal; Das, Abhimanyu; Kong, Weihao; Sen, Rajat (2022)

Leveraging Initial Hints for Free in Stochastic Linear Bandits. - Cutkosky, Ashok; Dann, Christoph; Das, Abhimanyu; Zhang, Qiuyi (Richard) (CoRR, 2022)

A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting. - Das, Abhimanyu; Kong, Weihao; Paria, Biswajit; Sen, Rajat (CoRR, 2022)

Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models. - Kong, Weihao; Sen, Rajat; Awasthi, Pranjal; Das, Abhimanyu (CoRR, 2022)

Efficient List-Decodable Regression using Batches. - Das, Abhimanyu; Jain, Ayush; Kong, Weihao; Sen, Rajat (CoRR, 2022)

One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks. - Agarwala, Atish; Das, Abhimanyu; Juba, Brendan; Panigrahy, Rina; Sharan, Vatsal; Wang, Xin; Zhang, Qiuyi (2021)

Robust Pure Exploration in Linear Bandits with Limited Budget. - Alieva, Ayya; Cutkosky, Ashok; Das, Abhimanyu (2021)

Dynamic Balancing for Model Selection in Bandits and RL. - Cutkosky, Ashok; Dann, Christoph; Das, Abhimanyu; Gentile, Claudio; Pacchiano, Aldo; Purohit, Manish (2021)

A Convergence Analysis of Gradient Descent on Graph Neural Networks. - Awasthi, Pranjal; Das, Abhimanyu; Gollapudi, Sreenivas (2021)

One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks. - Agarwala, Atish; Das, Abhimanyu; Juba, Brendan; Panigrahy, Rina; Sharan, Vatsal; Wang, Xin; Zhang, Qiuyi (CoRR, 2021)

Hierarchically Regularized Deep Forecasting. - Paria, Biswajit; Sen, Rajat; Ahmed, Amr; Das, Abhimanyu (CoRR, 2021)

On the benefits of maximum likelihood estimation for Regression and Forecasting. - Awasthi, Pranjal; Das, Abhimanyu; Sen, Rajat; Suresh, Ananda Theertha (CoRR, 2021)

On the Learnability of Random Deep Networks. - Das, Abhimanyu; Gollapudi, Sreenivas; Kumar, Ravi; Panigrahy, Rina (2020)

Learning the gravitational force law and other analytic functions. - Agarwala, Atish; Das, Abhimanyu; Panigrahy, Rina; Zhang, Qiuyi (CoRR, 2020)

Upper Confidence Bounds for Combining Stochastic Bandits. - Cutkosky, Ashok; Das, Abhimanyu; Purohit, Manish (CoRR, 2020)

On the Learnability of Deep Random Networks. - Das, Abhimanyu; Gollapudi, Sreenivas; Kumar, Ravi; Panigrahy, Rina (CoRR, 2019)

Approximate Submodularity and its Applications: Subset Selection, Sparse Approximation and Dictionary Selection. - Das, Abhimanyu; Kempe, David (J. Mach. Learn. Res., 2018)

Minimizing Latency in Online Ride and Delivery Services. - Das, Abhimanyu; Gollapudi, Sreenivas; Kim, Anthony; Panigrahi, Debmalya; Swamy, Chaitanya (2018)

Minimizing Latency in Online Ride and Delivery Services. - Das, Abhimanyu; Gollapudi, Sreenivas; Kim, Anthony; Panigrahi, Debmalya; Swamy, Chaitanya (CoRR, 2018)

Information dissemination in heterogeneous-intent networks. - Das, Abhimanyu; Gollapudi, Sreenivas; Kiciman, Emre; Varol, Onur (2016)

STEPS: Predicting place attributes via spatio-temporal analysis. - Nie, Shuxin; Das, Abhimanyu; Gabrilovich, Evgeniy; Lu, Wei-Lwun; Mazniker, Boris; Schilling, Chris (CoRR, 2016)

Approximate Modularity. - Chierichetti, Flavio; Das, Abhimanyu; Dasgupta, Anirban; Kumar, Ravi (2015)

Discovering Topical Aspects in Microblogs. - Das, Abhimanyu; Kannan, Anitha (2014)

Role of conformity in opinion dynamics in social networks. - Das, Abhimanyu; Gollapudi, Sreenivas; Khan, Arindam; Leme, Renato Paes (2014)

Ranking Twitter discussion groups. - Cook, James; Das, Abhimanyu; Kenthapadi, Krishnaram; Mishra, Nina (2014)

Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising. - Ahmed, Amr; Das, Abhimanyu; Smola, Alexander J. (2014)

Modeling opinion dynamics in social networks. - Das, Abhimanyu; Gollapudi, Sreenivas; Munagala, Kamesh (2014)

Debiasing social wisdom. - Das, Abhimanyu; Gollapudi, Sreenivas; Panigrahy, Rina; Salek, Mahyar (2013)

Web-scale multi-task feature selection for behavioral targeting. - Ahmed, Amr; Aly, Mohamed; Das, Abhimanyu; Smola, Alexander J.; Anastasakos, Tasos (2012)

Factoring past exposure in display advertising targeting. - Gupta, Neha; Das, Abhimanyu; Pandey, Sandeep; Narayanan, Vijay K. (2012)

Selecting Diverse Features via Spectral Regularization. - Das, Abhimanyu; Dasgupta, Anirban; Kumar, Ravi (2012)

Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection. - Das, Abhimanyu; Kempe, David (2011)

Estimating the Average of a Lipschitz-Continuous Function from One Sample - Das, Abhimanyu; Kempe, David (CoRR, 2011)

Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection - Das, Abhimanyu; Kempe, David (CoRR, 2011)

Estimating the Average of a Lipschitz-Continuous Function from One Sample. - Das, Abhimanyu; Kempe, David (2010)

Sensor Selection for Minimizing Worst-Case Prediction Error. - Das, Abhimanyu; Kempe, David (2008)

Algorithms for subset selection in linear regression. - Das, Abhimanyu; Kempe, David (2008)

AMBROSia: An Autonomous Model-Based Reactive Observing System. - Caron, David A.; Das, Abhimanyu; Dhariwal, Amit; Golubchik, Leana; Govindan, Ramesh; Kempe, David; Oberg, Carl; Sharma, Abhishek B.; Stauffer, Beth; Sukhatme, Gaurav S.; Zhang, Bin (2007)

A Generic Multi-scale Modeling Framework for Reactive Observing Systems: An Overview. - Golubchik, Leana; Caron, David A.; Das, Abhimanyu; Dhariwal, Amit; Govindan, Ramesh; Kempe, David; Oberg, Carl; Sharma, Abhishek B.; Stauffer, Beth; Sukhatme, Gaurav S.; Zhang, Bin (2006)

Adaptive Torque Control of Electro-rheological Fluid Brakes used in Active Knee Rehabilitation Devices. - Nikitczuk, Jason; Das, Abhimanyu; Vyas, Harsh; Weinberg, Brian; Mavroidis, Constantinos (2006)

Data acquisition in multiple-sink sensor networks. - Das, Abhimanyu; Dutta, Debojyoti (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2005)

Low-state fairness: lower bounds and practical enforcement. - Das, Abhimanyu; Dutta, Debojyoti; Helmy, Ahmed; Goel, Ashish; Heidemann, John S. (2005)

A low-state packet marking framework for approximate fair bandwidth allocation. - Das, Abhimanyu; Dutta, Debojyoti; Helmy, Ahmed (IEEE Commun. Lett., 2004)

On the Issues in Implementing the Peer Model in Integrated Optical Networks. - Sharma, Vishal; Das, Abhimanyu; Chen, Charles (Photonic Netw. Commun., 2004)

Data acquisition in multiple-sink sensor networks. - Das, Abhimanyu; Dutta, Debojyoti (2004)

Leveraging IP signaling and routing to manage UPSR-based transport networks. - Sharma, Vishal; Das, Abhimanyu; Chen, Charles (2003)

Fair Stateless Aggregate Traffic Marking Using Active Queue Management Techniques. - Das, Abhimanyu; Dutta, Debojyoti; Helmy, Ahmed (2002)

Fair Stateless Aggregate Traffic Marking using Active Queue Management Techniques - Das, Abhimanyu; Dutta, Debojyoti; Helmy, Ahmed (CoRR, 2002)