Anand Kalvit

According to our database, Anand Kalvit authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Incentivized Exploration via Filtered Posterior Sampling.

Yonatan Gur, Anand Kalvit, Aleksandrs Slivkins

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

2023

Complexity Analysis of a Countable-armed Bandit Problem.

Anand Kalvit, Assaf Zeevi

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

Dynamic Learning in Large Matching Markets.

Anand Kalvit, Assaf Zeevi

SIGMETRICS Perform. Evaluation Rev., August, 2022

Bandits with Dynamic Arm-acquisition Costs^*.

Anand Kalvit, Assaf Zeevi

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

The Countable-armed Bandit with Vanishing Arms.

Anand Kalvit, Assaf Zeevi

CoRR, 2021

A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms.

Anand Kalvit, Assaf Zeevi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

From Finite to Countable-Armed Bandits.

Anand Kalvit, Assaf Zeevi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Capacity expansion of neutral ISPs via content provider participation: The bargaining edge.

Anand Kalvit, Saurabh Pinjani, Gaurav S. Kasbekar, D. Manjunath, Jayakrishnan Nair

Perform. Evaluation, 2019

Stochastic approximation algorithms for rumor source inference on graphs.

Anand Kalvit, Vivek S. Borkar, Nikhil Karamchandani

Perform. Evaluation, 2019

2017

Capacity Expansion of Neutral ISPs via Content Peering Charges: The Bargaining Edge.

Anand Kalvit, Gaurav S. Kasbekar, D. Manjunath, Jayakrishnan Nair

Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools, 2017

MCMC Approaches to Rumor Source Inference using Pairwise Information.

Anand Kalvit, Vivek S. Borkar, Nikhil Karamchandani

Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools, 2017