Abhimanyu Das

According to our database1, Abhimanyu Das authored at least 49 papers between 2002 and 2024.

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Bibliography

2024
A decoder-only foundation model for time-series forecasting.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Transformers can optimally learn regression mixture models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Long-term Forecasting with TiDE: Time-series Dense Encoder.
Trans. Mach. Learn. Res., 2023

Linear Regression using Heterogeneous Data Batches.
CoRR, 2023

Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Blackbox optimization of unimodal functions.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Efficient List-Decodable Regression using Batches.
Proceedings of the International Conference on Machine Learning, 2023

2022
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models.
CoRR, 2022

A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting.
CoRR, 2022

Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the benefits of maximum likelihood estimation for Regression and Forecasting.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Leveraging Initial Hints for Free in Stochastic Linear Bandits.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

Beyond GNNs: An Efficient Architecture for Graph Problems.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Hierarchically Regularized Deep Forecasting.
CoRR, 2021

A Convergence Analysis of Gradient Descent on Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Balancing for Model Selection in Bandits and RL.
Proceedings of the 38th International Conference on Machine Learning, 2021

Robust Pure Exploration in Linear Bandits with Limited Budget.
Proceedings of the 38th International Conference on Machine Learning, 2021

One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Upper Confidence Bounds for Combining Stochastic Bandits.
CoRR, 2020

Learning the gravitational force law and other analytic functions.
CoRR, 2020

On the Learnability of Random Deep Networks.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

2019
On the Learnability of Deep Random Networks.
CoRR, 2019

2018
Approximate Submodularity and its Applications: Subset Selection, Sparse Approximation and Dictionary Selection.
J. Mach. Learn. Res., 2018

Minimizing Latency in Online Ride and Delivery Services.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2016
STEPS: Predicting place attributes via spatio-temporal analysis.
CoRR, 2016

Information dissemination in heterogeneous-intent networks.
Proceedings of the 8th ACM Conference on Web Science, 2016

2015
Approximate Modularity.
Proceedings of the IEEE 56th Annual Symposium on Foundations of Computer Science, 2015

2014
Modeling opinion dynamics in social networks.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Role of conformity in opinion dynamics in social networks.
Proceedings of the second ACM conference on Online social networks, 2014

Ranking Twitter discussion groups.
Proceedings of the second ACM conference on Online social networks, 2014

Discovering Topical Aspects in Microblogs.
Proceedings of the COLING 2014, 2014

2013
Debiasing social wisdom.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Selecting Diverse Features via Spectral Regularization.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Factoring past exposure in display advertising targeting.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Web-scale multi-task feature selection for behavioral targeting.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Estimating the Average of a Lipschitz-Continuous Function from One Sample.
Proceedings of the Algorithms, 2010

2008
Algorithms for subset selection in linear regression.
Proceedings of the 40th Annual ACM Symposium on Theory of Computing, 2008

Sensor Selection for Minimizing Worst-Case Prediction Error.
Proceedings of the 7th International Conference on Information Processing in Sensor Networks, 2008

2007
AMBROSia: An Autonomous Model-Based Reactive Observing System.
Proceedings of the Computational Science, 2007

2006
Adaptive Torque Control of Electro-rheological Fluid Brakes used in Active Knee Rehabilitation Devices.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

A Generic Multi-scale Modeling Framework for Reactive Observing Systems: An Overview.
Proceedings of the Computational Science, 2006

2005
Data acquisition in multiple-sink sensor networks.
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2005

Low-state fairness: lower bounds and practical enforcement.
Proceedings of the INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 2005

2004
On the Issues in Implementing the Peer Model in Integrated Optical Networks.
Photonic Netw. Commun., 2004

A low-state packet marking framework for approximate fair bandwidth allocation.
IEEE Commun. Lett., 2004

2003
Leveraging IP signaling and routing to manage UPSR-based transport networks.
Proceedings of IEEE International Conference on Communications, 2003

2002
Fair Stateless Aggregate Traffic Marking Using Active Queue Management Techniques.
Proceedings of the Management of Multimedia on the Internet, 2002


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