Saayan Mitra

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 39

Top Topics

Textual Information

Machine Learning Models

Recommender Systems

Top Venues

Publications

Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau
A/B testing under Interference with Partial Network Information. CoRR (2024)
Pooja Guhan, Uttaran Bhattacharya, Somdeb Sarkhel, Vahid Azizi, Xiang Chen, Saayan Mitra, Aniket Bera, Dinesh Manocha
TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing. ACL (Findings) (2024)
Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. ICLR (2024)
Supreeth Narasimhaswamy, Uttaran Bhattacharya, Xiang Chen, Ishita Dasgupta, Saayan Mitra, Minh Hoai
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances. CoRR (2024)
Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau
A/B testing under Interference with Partial Network Information. AISTATS (2024)
Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. CoRR (2023)
Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant J. Shenoy
SODA: Protecting Proprietary Information in On-Device Machine Learning Models. CoRR (2023)
Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Madalina Fiterau
Direct Inference of Effect of Treatment (DIET) for a Cookieless World. AISTATS (2023)
Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant J. Shenoy
SODA: Protecting Proprietary Information in On-Device Machine Learning Models. sec (2023)
Renzhi Wu, Saayan Mitra, Xiang Chen, Anup B. Rao
Decentralized Personalized Online Federated Learning. BigData (2023)
Renzhi Wu, Saayan Mitra, Xiang Chen, Anup Rao
Decentralized Personalized Online Federated Learning. CoRR (2023)
Lianke Qin, Saayan Mitra, Zhao Song, Yuanyuan Yang, Tianyi Zhou
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training. CoRR (2023)
Shiv Shankar, Ritwik Sinha, Saayan Mitra, Viswanathan (Vishy) Swaminathan, Sridhar Mahadevan, Moumita Sinha
Privacy Aware Experiments without Cookies. WSDM (2023)
Lianke Qin, Saayan Mitra, Zhao Song, Yuanyuan Yang, Tianyi Zhou
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training. BigData (2023)
Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Vishy Swaminathan
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information. CoRR (2023)
Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant J. Shenoy
Protecting Proprietary Information in on-Device Machine Learning Models. HotMobile (2023)
Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan
Flash: Concept Drift Adaptation in Federated Learning. ICML (2023)
Gaurav Gupta, Anup B. Rao, Tung Mai, Ryan A. Rossi, Xiang Chen, Saayan Mitra, Anshumali Shrivastava
Near Neighbor Search for Constraint Queries. BigData (2023)
Aritra Ghosh, Saayan Mitra, Andrew S. Lan
DiPS: Differentiable Policy for Sketching in Recommender Systems. AAAI (2022)
Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Viswanathan Swaminathan, Sridhar Mahadevan
Privacy Aware Experiments without Cookies. CoRR (2022)
Akanksha Atrey, Ritwik Sinha, Somdeb Sarkhel, Saayan Mitra, David Arbour, Akash Maharaj, Prashant J. Shenoy
Towards Preserving Server-Side Privacy of On-Device Models. WWW (Companion Volume) (2022)
Vahid Azizi, Saayan Mitra, Xiang Chen
Collaborative Filtering Guided Deep Reinforcement Learning for Sequential Recommendations. Big Data (2022)
Pooja Guhan, Saayan Mitra, Somdeb Sarkhel, Stefano Petrangeli, Ritwik Sinha, Viswanathan Swaminathan, Aniket Bera, Dinesh Manocha
Contextualized Styling of Images for Web Interfaces using Reinforcement Learning. ISM (2022)
Swapneel Mehta, Somdeb Sarkhel, Xiang Chen, Saayan Mitra, Viswanathan Swaminathan, Ryan A. Rossi, Ali Aminian, Han Guo, Kshitiz Garg
Open-Domain Trending Hashtag Recommendation for Videos. ISM (2021)
Aritra Ghosh, Saayan Mitra, Andrew S. Lan
DiPS: Differentiable Policy for Sketching in Recommender Systems. CoRR (2021)
Trisha Mittal, Vishy Swaminathan, Somdeb Sarkhel, Ritwik Sinha, David Arbour, Saayan Mitra, Dinesh Manocha
BOhance: Bayesian Optimization for Content Enhancement. ISM (2021)
Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan
Optimal Bidding Strategy without Exploration in Real-time Bidding. SDM (2020)
Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan
Optimal Bidding Strategy without Exploration in Real-time Bidding. CoRR (2020)
Xiang Chen, Saayan Mitra, Viswanathan Swaminathan
Metadata Matters in User Engagement Prediction. SIGIR (2020)
Phanwadee Sinthong, Kanak Mahadik, Somdeb Sarkhel, Saayan Mitra
Scaling Dnn-Based Video Analysis By Coarse-Grained And Fine-Grained Parallelism. ICME (2020)
Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan
Scalable Bid Landscape Forecasting in Real-time Bidding. CoRR (2020)
Han Guo, Viswanathan Swaminathan, Saayan Mitra
A Scalable Data Augmentation and Training Pipeline for Logo Detection. ISM (2019)
Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan
Scalable Bid Landscape Forecasting in Real-Time Bidding. ECML/PKDD (3) (2019)
Xueyu Mao, Saayan Mitra, Sheng Li
Training Streaming Factorization Machines with Alternating Least Squares. SIGIR (2019)
Qi Lou, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan
Content-Based Effectiveness Prediction of Video Advertisements. ISM (2018)
Gang Wu, Viswanathan Swaminathan, Saayan Mitra, Ratnesh Kumar
Context-aware video recommendation based on session progress prediction. ICME (2017)
Shuo Yang, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan
Personalized Video Recommendations for Shared Accounts. ISM (2017)
Gang Wu, Viswanathan Swaminathan, Saayan Mitra, Ratnesh Kumar
Digital content recommendation system using implicit feedback data. IEEE BigData (2017)
Xueyu Mao, Saayan Mitra, Viswanathan Swaminathan
Feature Selection for FM-Based Context-Aware Recommendation Systems. ISM (2017)
Gang Wu, Viswanathan Swaminathan, Saayan Mitra, Ratnesh Kumar
Online video session progress prediction using low-rank matrix completion. ICME Workshops (2014)
Saayan Mitra, Viswanathan Swaminathan
A reliable buffered approach for measuring usage of web video. TEMU (2014)
Viswanathan Swaminathan, Saayan Mitra, Sheng Wei
Designing a universal format for encrypted media. MMSP (2013)
Saayan Mitra, Viswanathan Swaminathan
An optimal client buffer model for multiplexing HTTP streams. MMSP (2012)
Viswanathan Swaminathan, Saayan Mitra
A partial encryption scheme for AVC video. ESPA (2012)
Alfred Taylor Sr., Les Miller, Sree Nilakanta, Jeffry D. Sander, Saayan Mitra, Anurag Sharda, Bachar Chama
Using an Error Detection Strategy for Improving Web Accessibility for Older Adults. ACHI (2009)
Saayan Mitra, Ratnesh Kumar, Samik Basu
A Framework for Optimal Decentralized Service-Choreography. ICWS (2009)
Saayan Mitra, Ratnesh Kumar, Samik Basu
Optimum Decentralized Choreography for Web Services Composition. IEEE SCC (2) (2008)
Saayan Mitra, Samik Basu, Ratnesh Kumar
Local and On-the-fly Choreography-based Web Service Composition. Web Intelligence (2007)
Saayan Mitra, Ratnesh Kumar, Samik Basu
Automated Choreographer Synthesis for Web Services Composition Using I/O Automata. ICWS (2007)