Delay asymptotics for a priority queueing system. - Sanjay Shakkottai; R. Srikant 001 (SIGMETRICS, 2000)

Boundedness of utility function based congestion controllers in the presence of delay. - Sanjay Shakkottai; Rayadurgam Srikant; Sean P. Meyn (CDC, 2001)

Deterministic fluid models of congestion control in high-speed networks. - Sanjay Shakkottai; R. Srikant 001 (WSC, 2001)

Many-Sources Delay Asymptotics with Applications to Priority Queues. - Sanjay Shakkottai; R. Srikant 001 (Queueing Syst. Theory Appl., 2001)

TCP performance over end-to-end rate control and stochastic available capacity. - Sanjay Shakkottai; Anurag Kumar 001; Aditya Karnik; Ajit Anvekar (IEEE/ACM Trans. Netw., 2001)

How Good are Deterministic Fluid Models of Internet Congestion Control? - Sanjay Shakkottai; Rayadurgam Srikant (INFOCOM, 2002)

Scheduling Real-Time Traffic With Deadlines over a Wireless Channel. - Sanjay Shakkottai; R. Srikant 001 (Wirel. Networks, 2002)

Resource Allocation for Quality of Service in a Heterogeneous Network - Sanjay Shakkottai (2002)

Stability and Convergence of TCP-like Congestion Controllers in a Many-Flows Regime. - Supratim Deb; Sanjay Shakkottai; R. Srikant 001 (INFOCOM, 2003)

Cross-layer design for wireless networks. - Sanjay Shakkottai; Theodore S. Rappaport; Peter C. Karlsson (IEEE Commun. Mag., 2003)

Bounds on the throughput of congestion controllers in the presence of feedback delay. - Sanjay Shakkottai; R. Srikant 001; Sean P. Meyn (IEEE/ACM Trans. Netw., 2003)

Delay asymptotics of the SRPT scheduler. - Chang-Woo Yang; Sanjay Shakkottai (CDC, 2004)

Practical Costa precoding for the multiple antenna broadcast channel. - Manish Airy; Antonio Forenza; Robert W. Heath Jr.; Sanjay Shakkottai (GLOBECOM, 2004)

Asymptotics of Query Strategies over a Sensor Network. - Sanjay Shakkottai (INFOCOM, 2004)

Mean FDE Models for Internet Congestion Control Under a Many-Flows Regime. - Sanjay Shakkottai; R. Srikant 001 (IEEE Trans. Inf. Theory, 2004)

Unreliable sensor grids: coverage, connectivity and diameter. - Sanjay Shakkottai; Rayadurgam Srikant; Ness B. Shroff (Ad Hoc Networks, 2005)

Asymptotic Behavior of Internet Congestion Controllers in a Many-Flows Regime. - Supratim Deb; Sanjay Shakkottai; R. Srikant 001 (Math. Oper. Res., 2005)

Asymptotics of search strategies over a sensor network. - Sanjay Shakkottai (IEEE Trans. Autom. Control., 2005)

Fast Matching Algorithms for Repetitive Optimization: An Application to Switch Scheduling. - Supratim Deb; Devavrat Shah; Sanjay Shakkottai (CISS, 2006)

Looking at Large Networks: Coding vs. Queueing. - Sandeep Bhadra; Sanjay Shakkottai (INFOCOM, 2006)

On Network Coding for Interference Networks. - Sandeep Bhadra; Piyush Gupta; Sanjay Shakkottai (ISIT, 2006)

Tail asymptotics for policies favoring short jobs in a many-flows regime. - Chang-Woo Yang; Adam Wierman; Sanjay Shakkottai; Mor Harchol-Balter (SIGMETRICS/Performance, 2006)

Transmit Precoding for the Multiple Antenna Broadcast Channel. - Manish Airy; Sandeep Bhadra; Robert W. Heath Jr.; Sanjay Shakkottai (VTC Spring, 2006)

Optimal power allocation for a time-varying wireless channel under heavy-traffic approximation. - Wei Wu 043; Ari Arapostathis; Sanjay Shakkottai (IEEE Trans. Autom. Control., 2006)

Asymptotic Evaluation of Delay in the SRPT Scheduler. - Chang-Woo Yang; Sanjay Shakkottai (IEEE Trans. Autom. Control., 2006)

Min-Cost Selfish Multicast With Network Coding. - Sandeep Bhadra; Sanjay Shakkottai; Piyush Gupta (IEEE Trans. Inf. Theory, 2006)

Time-scale decomposition and equivalent rate-based marking. - Yung Yi; Supratim Deb; Sanjay Shakkottai (IEEE/ACM Trans. Netw., 2006)

Balancing performance and fairness using finite-SRPT. - Chang-Woo Yang; Sanjay Shakkottai (CDC, 2007)

Oblivious Routing with Mobile Fusion Centers over a Sensor Network. - Devavrat Shah; Sanjay Shakkottai (INFOCOM, 2007)

On Optimal Geographic Routing in Wireless Networks with Holes and Non-Uniform Traffic. - Sundar Subramanian; Sanjay Shakkottai; Piyush Gupta (INFOCOM, 2007)

On Optimal MAC Scheduling With Physical Interference. - Yung Yi; Gustavo de Veciana; Sanjay Shakkottai (INFOCOM, 2007)

Scaling Bounds for Function Computation over Large Networks. - Sundar Subramanian; Piyush Gupta; Sanjay Shakkottai (ISIT, 2007)

FluNet: A hybrid internet simulator for fast queue regimes. - Yung Yi; Sanjay Shakkottai (Comput. Networks, 2007)

Hop-by-hop congestion control over a wireless multi-hop network. - Yung Yi; Sanjay Shakkottai (IEEE/ACM Trans. Netw., 2007)

Distributed power control in wireless ad hoc networks using message passing: Throughput optimality and network utility maximization. - Aneesh Reddy; Sanjay Shakkottai; Lei Ying 001 (CISS, 2008)

Optimal Geographic Routing for Wireless Networks with Near-Arbitrary Holes and Traffic. - Sundar Subramanian; Sanjay Shakkottai; Piyush Gupta (INFOCOM, 2008)

Rethinking information theory for mobile ad hoc networks. - Jeffrey G. Andrews; Sanjay Shakkottai; Robert W. Heath Jr.; Nihar Jindal; Martin Haenggi; Randy Berry; Dongning Guo; Michael J. Neely; Steven Weber 001; Syed Ali Jafar; Aylin Yener (IEEE Commun. Mag., 2008)

Effective Capacity and QoS for Wireless Scheduling. - Sanjay Shakkottai (IEEE Trans. Autom. Control., 2008)

Communication Through Jamming Over a Slotted ALOHA Channel. - Sandeep Bhadra; Shreeshankar Bodas; Sanjay Shakkottai; Sriram Vishwanath (IEEE Trans. Inf. Theory, 2008)

Broadcasting in sensor networks: the role of local information. - Sundar Subramanian; Sanjay Shakkottai; Ari Arapostathis (IEEE/ACM Trans. Netw., 2008)

TCP with feed-forward source coding for wireless downlink networks. - Jung Ryu; Sandeep Bhadra; Sanjay Shakkottai (Allerton, 2009)

Routing Over Multi-Hop Wireless Networks with Non-Ergodic Mobility. - Chris Milling; Sundar Subramanian; Sanjay Shakkottai; Randall Berry (INFOCOM, 2009)

On Combining Shortest-Path and Back-Pressure Routing Over Multihop Wireless Networks. - Lei Ying 001; Sanjay Shakkottai; Aneesh Reddy (INFOCOM, 2009)

On the Elasticity of Marking Functions in an Integrated Network. - Yung Yi; Sanjay Shakkottai (IEEE Trans. Autom. Control., 2009)

Greedy learning of Markov network structure. - Praneeth Netrapalli; Siddhartha Banerjee; Sujay Sanghavi; Sanjay Shakkottai (Allerton, 2010)

Wireless scheduling with heterogeneously delayed network-state information. - Akula Aneesh Reddy; Siddhartha Banerjee; Aditya Gopalan; Sanjay Shakkottai; Lei Ying 001 (Allerton, 2010)

Low-complexity Scheduling Algorithms for Multi-channel Downlink Wireless Networks. - Shreeshankar Bodas; Sanjay Shakkottai; Lei Ying 001; R. Srikant 001 (INFOCOM, 2010)

Back-Pressure Routing for Intermittently Connected Networks. - Jung Ryu; Lei Ying 001; Sanjay Shakkottai (INFOCOM, 2010)

On Scheduling for Minimizing End-to-End Buffer Usage over Multihop Wireless Networks. - V. J. Venkataramanan; Xiaojun Lin 001; Lei Ying 001; Sanjay Shakkottai (INFOCOM, 2010)

Back-pressure routing and rate control for ICNs. - Jung Ryu; Vidur Bhargava; Nick Paine; Sanjay Shakkottai (MobiCom, 2010)

Buffer Asymptotics for Coding Over Networks. - Sandeep Bhadra; Sanjay Shakkottai (IEEE Trans. Inf. Theory, 2010)

Geographic routing with limited information in sensor networks. - Sundar Subramanian; Sanjay Shakkottai (IEEE Trans. Inf. Theory, 2010)

MAC Scheduling With Low Overheads by Learning Neighborhood Contention Patterns. - Yung Yi; Gustavo de Veciana; Sanjay Shakkottai (IEEE/ACM Trans. Netw., 2010)

Scheduling for small delay in multi-rate multi-channel wireless networks. - Shreeshankar Bodas; Sanjay Shakkottai; Lei Ying 001; R. Srikant 001 (INFOCOM, 2011)

Sharing multiple messages over mobile networks. - Yuxin Chen 002; Sanjay Shakkottai; Jeffrey G. Andrews (INFOCOM, 2011)

Random mobility and the spread of infection. - Aditya Gopalan; Siddhartha Banerjee; Abhik Kumar Das; Sanjay Shakkottai (INFOCOM, 2011)

On file sharing over a wireless social network. - Yi-Ting Chen; Constantine Caramanis; Sanjay Shakkottai (ISIT, 2011)

On Sharing Viral Video over an Ad Hoc Wireless Network - Yi-Ting Chen; Constantine Caramanis; Sanjay Shakkottai (CoRR, 2011)

On Efficient Data Transport with Mobile Carriers. - Jung Ryu; Lei Ying 001; Sanjay Shakkottai (IEEE J. Sel. Areas Commun., 2011)

On Throughput Optimality With Delayed Network-State Information. - Lei Ying 001; Sanjay Shakkottai (IEEE Trans. Inf. Theory, 2011)

On combining shortest-path and back-pressure routing over multihop wireless networks. - Lei Ying 001; Sanjay Shakkottai; Aneesh Reddy; Shihuan Liu (IEEE/ACM Trans. Netw., 2011)

On identifying the causative network of an epidemic. - Chris Milling; Constantine Caramanis; Shie Mannor; Sanjay Shakkottai (Allerton Conference, 2012)

Greedy learning of graphical models with small girth. - Avik Ray; Sujay Sanghavi; Sanjay Shakkottai (Allerton Conference, 2012)

On the design of device-to-device autonomous discovery. - François Baccelli; Nilesh Khude; Rajiv Laroia; Junyi Li; Tom Richardson 001; Sanjay Shakkottai; Saurabha Tavildar; Xinzhou Wu (COMSNETS, 2012)

Low-delay wireless scheduling with partial channel-state information. - Aditya Gopalan; Constantine Caramanis; Sanjay Shakkottai (INFOCOM, 2012)

On the effect of channel fading on greedy scheduling. - Aneesh Reddy; Sujay Sanghavi; Sanjay Shakkottai (INFOCOM, 2012)

Network forensics: random infection vs spreading epidemic. - Chris Milling; Constantine Caramanis; Shie Mannor; Sanjay Shakkottai (SIGMETRICS, 2012)

On the Role of Mobility for Multi-message Gossip - Yuxin Chen 002; Sanjay Shakkottai; Jeffrey G. Andrews (CoRR, 2012)

On optimizing CSMA for wide area ad hoc networks. - François Baccelli; Junyi Li; Thomas J. Richardson; Sanjay Shakkottai; Sundar Subramanian; Xinzhou Wu (Queueing Syst. Theory Appl., 2012)

Towards a queueing-based framework for in-network function computation. - Siddhartha Banerjee; Piyush Gupta; Sanjay Shakkottai (Queueing Syst. Theory Appl., 2012)

On distributed scheduling with heterogeneously delayed network-state information. - Akula Aneesh Reddy; Siddhartha Banerjee; Aditya Gopalan; Sanjay Shakkottai; Lei Ying 001 (Queueing Syst. Theory Appl., 2012)

Many Flows Asymptotics for SMART Scheduling Policies. - Chang-Woo Yang; Adam Wierman; Sanjay Shakkottai; Mor Harchol-Balter (IEEE Trans. Autom. Control., 2012)

Scheduling in Mobile Ad Hoc Networks With Topology and Channel-State Uncertainty. - Lei Ying 001; Sanjay Shakkottai (IEEE Trans. Autom. Control., 2012)

On Wireless Scheduling With Partial Channel-State Information. - Aditya Gopalan; Constantine Caramanis; Sanjay Shakkottai (IEEE Trans. Inf. Theory, 2012)

Low-Complexity Scheduling Algorithms for Multichannel Downlink Wireless Networks. - Shreeshankar Bodas; Sanjay Shakkottai; Lei Ying 001; R. Srikant 001 (IEEE/ACM Trans. Netw., 2012)

Timescale Decoupled Routing and Rate Control in Intermittently Connected Networks. - Jung Ryu; Lei Ying 001; Sanjay Shakkottai (IEEE/ACM Trans. Netw., 2012)

MaxWeight vs. BackPressure: Routing and scheduling in multi-channel relay networks. - Sharayu Moharir; Sanjay Shakkottai (INFOCOM, 2013)

Detecting epidemics using highly noisy data. - Chris Milling; Constantine Caramanis; Shie Mannor; Sanjay Shakkottai (MobiHoc, 2013)

On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling. - Aditya Gopalan; Constantine Caramanis; Sanjay Shakkottai (IEEE Trans. Autom. Control., 2013)

On the Role of Mobility for Multimessage Gossip. - Yuxin Chen 002; Sanjay Shakkottai; Jeffrey G. Andrews (IEEE Trans. Inf. Theory, 2013)

FlashLinQ: A Synchronous Distributed Scheduler for Peer-to-Peer Ad Hoc Networks. - Xinzhou Wu; Saurabha Tavildar; Sanjay Shakkottai; Tom Richardson 001; Junyi Li; Rajiv Laroia; Aleksandar Jovicic (IEEE/ACM Trans. Netw., 2013)

Overlap graph clustering via successive removal. - Avik Ray; Javad Ghaderi; Sujay Sanghavi; Sanjay Shakkottai (Allerton, 2014)

Message from TPC chairs. - Neelesh B. Mehta; Ramachandran Ramjee; Sanjay Shakkottai (COMSNETS, 2014)

Epidemic thresholds with external agents. - Siddhartha Banerjee; Avhishek Chatterjee; Sanjay Shakkottai (INFOCOM, 2014)

The behavior of epidemics under bounded susceptibility. - Subhashini Krishnasamy; Siddhartha Banerjee; Sanjay Shakkottai (SIGMETRICS, 2014)

Topic modeling from network spread. - Avik Ray; Sujay Sanghavi; Sanjay Shakkottai (SIGMETRICS, 2014)

Epidemic Spreading With External Agents. - Siddhartha Banerjee; Aditya Gopalan; Abhik Kumar Das; Sanjay Shakkottai (IEEE Trans. Inf. Theory, 2014)

Scheduling in Multi-Channel Wireless Networks: Rate Function Optimality in the Small-Buffer Regime. - Shreeshankar Bodas; Sanjay Shakkottai; Lei Ying 001; R. Srikant 001 (IEEE Trans. Inf. Theory, 2014)

Local detection of infections in heterogeneous networks. - Chris Milling; Constantine Caramanis; Shie Mannor; Sanjay Shakkottai (INFOCOM, 2015)

Localized Epidemic Detection in Networks with Overwhelming Noise. - Eli A. Meirom; Chris Milling; Constantine Caramanis; Shie Mannor; Sanjay Shakkottai; Ariel Orda (SIGMETRICS, 2015)

Spectrum sharing and scheduling in D2D-enabled dense cellular networks. - Subhashini Krishnasamy; Sanjay Shakkottai (WiOpt, 2015)

Wireless scheduling with partial channel state information: large deviations and optimality. - Aditya Gopalan; Constantine Caramanis; Sanjay Shakkottai (Queueing Syst. Theory Appl., 2015)

Serving content with unknown demand: the high-dimensional regime. - Sharayu Moharir; Javad Ghaderi; Sujay Sanghavi; Sanjay Shakkottai (Queueing Syst. Theory Appl., 2015)

Distinguishing Infections on Different Graph Topologies. - Chris Milling; Constantine Caramanis; Shie Mannor; Sanjay Shakkottai (IEEE Trans. Inf. Theory, 2015)

Improved Greedy Algorithms for Learning Graphical Models. - Avik Ray; Sujay Sanghavi; Sanjay Shakkottai (IEEE Trans. Inf. Theory, 2015)

MaxWeight Versus BackPressure: Routing and Scheduling in Multichannel Relay Networks. - Sharayu Moharir; Sanjay Shakkottai (IEEE/ACM Trans. Netw., 2015)

Regret of Queueing Bandits. - Subhashini Krishnasamy; Rajat Sen; Ramesh Johari; Sanjay Shakkottai (NIPS, 2016)

Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach. - Rajat Sen; Karthikeyan Shanmugam; Murat Kocaoglu; Alexandros G. Dimakis; Sanjay Shakkottai (CoRR, 2016)

Online Collaborative Filtering on Graphs. - Siddhartha Banerjee; Sujay Sanghavi; Sanjay Shakkottai (Oper. Res., 2016)

Scheduling Storms and Streams in the Cloud. - Javad Ghaderi; Sanjay Shakkottai; R. Srikant 001 (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016)

Detecting Sponsored Recommendations. - Subhashini Krishnasamy; Rajat Sen; Sanjay Shakkottai; Sewoong Oh (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016)

Online Load Balancing Under Graph Constraints. - Sharayu Moharir; Sujay Sanghavi; Sanjay Shakkottai (IEEE/ACM Trans. Netw., 2016)

Contextual Bandits with Latent Confounders: An NMF Approach. - Rajat Sen; Karthikeyan Shanmugam; Murat Kocaoglu; Alexandros G. Dimakis; Sanjay Shakkottai (AISTATS, 2017)

Identifying Best Interventions through Online Importance Sampling. - Rajat Sen; Karthikeyan Shanmugam; Alexandros G. Dimakis; Sanjay Shakkottai (ICML, 2017)

Model-Powered Conditional Independence Test. - Rajat Sen; Ananda Theertha Suresh; Karthikeyan Shanmugam; Alexandros G. Dimakis; Sanjay Shakkottai (NIPS, 2017)

Causal Best Intervention Identification via Importance Sampling. - Rajat Sen; Karthikeyan Shanmugam; Alexandros G. Dimakis; Sanjay Shakkottai (CoRR, 2017)

Exploiting Latent Attack Semantics for Intelligent Malware Detection. - Mikhail Kazdagli; Constantine Caramanis; Sanjay Shakkottai; Mohit Tiwari (CoRR, 2017)

The Search Problem in Mixture Models. - Avik Ray; Joe Neeman; Sujay Sanghavi; Sanjay Shakkottai (J. Mach. Learn. Res., 2017)

Scheduling in Densified Networks: Algorithms and Performance. - Sharayu Moharir; Subhashini Krishnasamy; Sanjay Shakkottai (IEEE/ACM Trans. Netw., 2017)

Contextual Bandits with Stochastic Experts. - Rajat Sen; Karthikeyan Shanmugam; Sanjay Shakkottai (AISTATS, 2018)

On Learning the cμ Rule in Single and Parallel Server Networks. - Subhashini Krishnasamy; Ari Arapostathis; Ramesh Johari; Sanjay Shakkottai (Allerton, 2018)

Multi-Fidelity Black-Box Optimization with Hierarchical Partitions. - Rajat Sen; Kirthevasan Kandasamy; Sanjay Shakkottai (ICML, 2018)

On Learning the cμ Rule: Single and Multiserver Settings. - Subhashini Krishnasamy; Ari Arapostathis; Ramesh Johari; Sanjay Shakkottai (CoRR, 2018)

The Shape of Alerts: Detecting Malware Using Distributed Detectors by Robustly Amplifying Transient Correlations. - Mikhail Kazdagli; Constantine Caramanis; Sanjay Shakkottai; Mohit Tiwari (CoRR, 2018)

Entropic Latent Variable Discovery. - Murat Kocaoglu; Sanjay Shakkottai; Alexandros G. Dimakis; Constantine Caramanis; Sriram Vishwanath (CoRR, 2018)

Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach. - Rajat Sen; Kirthevasan Kandasamy; Sanjay Shakkottai (CoRR, 2018)

Detecting Cascades from Weak Signatures. - Eli A. Meirom; Constantine Caramanis; Shie Mannor; Ariel Orda; Sanjay Shakkottai (IEEE Trans. Netw. Sci. Eng., 2018)

Searching for a Single Community in a Graph. - Avik Ray; Sujay Sanghavi; Sanjay Shakkottai (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018)

Adaptive TTL-Based Caching for Content Delivery. - Soumya Basu 001; Aditya Sundarrajan; Javad Ghaderi; Sanjay Shakkottai; Ramesh K. Sitaraman (IEEE/ACM Trans. Netw., 2018)

Augmenting Max-Weight With Explicit Learning for Wireless Scheduling With Switching Costs. - Subhashini Krishnasamy; P. T. Akhil; Ari Arapostathis; Rajesh Sundaresan; Sanjay Shakkottai (IEEE/ACM Trans. Netw., 2018)

Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach. - Rajat Sen; Kirthevasan Kandasamy; Sanjay Shakkottai (AISTATS, 2019)

Pareto Optimal Streaming Unsupervised Classification. - Soumya Basu 001; Steven Gutstein; Brent Lance; Sanjay Shakkottai (ICML, 2019)

Switching Constrained Max-Weight Scheduling for Wireless Networks. - Soumya Basu 001; Sanjay Shakkottai (INFOCOM, 2019)

Online Channel-state Clustering And Multiuser Capacity Learning For Wireless Scheduling. - Isfar Tariq; Rajat Sen; Gustavo de Veciana; Sanjay Shakkottai (INFOCOM, 2019)

Side-information-aided Noncoherent Beam Alignment Design for Millimeter Wave Systems. - Yi Zhang 021; Kartik Patel; Sanjay Shakkottai; Robert W. Heath Jr. (MobiHoc, 2019)

Blocking Bandits. - Soumya Basu 001; Rajat Sen; Sujay Sanghavi; Sanjay Shakkottai (NeurIPS, 2019)

Importance Weighted Generative Networks. - Maurice Diesendruck; Ethan R. Elenberg; Rajat Sen; Guy W. Cole; Sanjay Shakkottai; Sinead A. Williamson (ECML/PKDD (2), 2019)

Optimistic Optimization for Statistical Model Checking with Regret Bounds. - Negin Musavi; Dawei Sun; Sayan Mitra; Geir E. Dullerud; Sanjay Shakkottai (CoRR, 2019)

Social Learning in Multi Agent Multi Armed Bandits. - Abishek Sankararaman; Ayalvadi Ganesh 001; Sanjay Shakkottai (Proc. ACM Meas. Anal. Comput. Syst., 2019)

The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits. - Ronshee Chawla; Abishek Sankararaman; Ayalvadi Ganesh 001; Sanjay Shakkottai (AISTATS, 2020)

Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes. - Zaiwei Chen; Siva Theja Maguluri; Sanjay Shakkottai; Karthikeyan Shanmugam (NeurIPS, 2020)

Task-Robust Model-Agnostic Meta-Learning. - Liam Collins; Aryan Mokhtari; Sanjay Shakkottai (NeurIPS, 2020)

Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. - Matthew Faw; Rajat Sen; Karthikeyan Shanmugam; Constantine Caramanis; Sanjay Shakkottai (NeurIPS, 2020)

Applications of Common Entropy for Causal Inference. - Murat Kocaoglu; Sanjay Shakkottai; Alexandros G. Dimakis; Constantine Caramanis; Sriram Vishwanath (NeurIPS, 2020)

Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes. - Zaiwei Chen; Siva Theja Maguluri; Sanjay Shakkottai; Karthikeyan Shanmugam (CoRR, 2020)

Distribution-Agnostic Model-Agnostic Meta-Learning. - Liam Collins; Aryan Mokhtari; Sanjay Shakkottai (CoRR, 2020)

Warm Starting Bandits with Side Information from Confounded Data. - Nihal Sharma; Soumya Basu 001; Karthikeyan Shanmugam; Sanjay Shakkottai (CoRR, 2020)

Multi-Agent Low-Dimensional Linear Bandits. - Ronshee Chawla; Abishek Sankararaman; Sanjay Shakkottai (CoRR, 2020)

Hellinger KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings. - Arghyadip Roy; Sanjay Shakkottai; R. Srikant 001 (CoRR, 2020)

Why Does MAML Outperform ERM? An Optimization Perspective. - Liam Collins; Aryan Mokhtari; Sanjay Shakkottai (CoRR, 2020)

Stochastic Linear Bandits with Protected Subspace. - Advait Parulekar; Soumya Basu 001; Aditya Gopalan; Karthikeyan Shanmugam; Sanjay Shakkottai (CoRR, 2020)

One-bit feedback is sufficient for upper confidence bound policies. - Daniel Vial; Sanjay Shakkottai; R. Srikant 001 (CoRR, 2020)

Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks. - Arjun Anand; Gustavo de Veciana; Sanjay Shakkottai (IEEE/ACM Trans. Netw., 2020)

Contextual Blocking Bandits. - Soumya Basu 001; Orestis Papadigenopoulos; Constantine Caramanis; Sanjay Shakkottai (AISTATS, 2021)

HooVer: A Framework for Verification and Parameter Synthesis in Stochastic Systems using Optimistic Optimization. - Negin Musavi; Dawei Sun; Sayan Mitra; Geir E. Dullerud; Sanjay Shakkottai (CCTA, 2021)

Combinatorial Blocking Bandits with Stochastic Delays. - Alexia Atsidakou; Orestis Papadigenopoulos; Soumya Basu 001; Constantine Caramanis; Sanjay Shakkottai (ICML, 2021)

Exploiting Shared Representations for Personalized Federated Learning. - Liam Collins; Hamed Hassani; Aryan Mokhtari; Sanjay Shakkottai (ICML, 2021)

Job Dispatching Policies for Queueing Systems with Unknown Service Rates. - Tuhinangshu Choudhury; Gauri Joshi; Weina Wang 001; Sanjay Shakkottai (MobiHoc, 2021)

Robust Multi-Agent Multi-Armed Bandits. - Daniel Vial; Sanjay Shakkottai; R. Srikant 001 (MobiHoc, 2021)

MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling. - Yi Zhang 021; Soumya Basu 001; Sanjay Shakkottai; Robert W. Heath Jr. (MobiHoc, 2021)

Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators. - Zaiwei Chen; Siva Theja Maguluri; Sanjay Shakkottai; Karthikeyan Shanmugam (NeurIPS, 2021)

A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants. - Zaiwei Chen; Siva Theja Maguluri; Sanjay Shakkottai; Karthikeyan Shanmugam (CoRR, 2021)

Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task? - Steven Gutstein; Brent Lance; Sanjay Shakkottai (CoRR, 2021)

Episodic Bandits with Stochastic Experts. - Nihal Sharma; Soumya Basu 001; Karthikeyan Shanmugam; Sanjay Shakkottai (CoRR, 2021)

Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach. - Subhashini Krishnasamy; Rajat Sen; Ramesh Johari; Sanjay Shakkottai (Oper. Res., 2021)

Online learning for hierarchical scheduling to support network slicing in cellular networks. - Jianhan Song; Gustavo de Veciana; Sanjay Shakkottai (Perform. Evaluation, 2021)

Robust Multi-Agent Bandits Over Undirected Graphs. - Daniel Vial; Sanjay Shakkottai; R. Srikant 001 (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Auto-Tuning for Cellular Scheduling Through Bandit-Learning and Low-Dimensional Clustering. - Isfar Tariq; Rajat Sen; Thomas David Novlan; Salam Akoum; Milap Majmundar; Gustavo de Veciana; Sanjay Shakkottai (IEEE/ACM Trans. Netw., 2021)

Improved Algorithms for Misspecified Linear Markov Decision Processes. - Daniel Vial; Advait Parulekar; Sanjay Shakkottai; R. Srikant 001 (AISTATS, 2022)

Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. - Sen Lin 001; Ming Shi 003; Anish Arora; Raef Bassily; Elisa Bertino; Constantine Caramanis; Kaushik R. Chowdhury; Eylem Ekici; Atilla Eryilmaz; Stratis Ioannidis; Nan Jiang 008; Gauri Joshi; et al. (CIC, 2022)

How Does the Task Landscape Affect MAML Performance? - Liam Collins; Aryan Mokhtari; Sanjay Shakkottai (CoLLAs, 2022)

The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. - Matthew Faw; Isidoros Tziotis; Constantine Caramanis; Aryan Mokhtari; Sanjay Shakkottai; Rachel A. Ward (COLT, 2022)

Asymptotically-Optimal Gaussian Bandits with Side Observations. - Alexia Atsidakou; Orestis Papadigenopoulos; Constantine Caramanis; Sujay Sanghavi; Sanjay Shakkottai (ICML, 2022)

MAML and ANIL Provably Learn Representations. - Liam Collins; Aryan Mokhtari; Sewoong Oh; Sanjay Shakkottai (ICML, 2022)

Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. - Daniel Vial; Advait Parulekar; Sanjay Shakkottai; R. Srikant 001 (ICML, 2022)

Linear Bandit Algorithms with Sublinear Time Complexity. - Shuo Yang; Tongzheng Ren; Sanjay Shakkottai; Eric Price 001; Inderjit S. Dhillon; Sujay Sanghavi (ICML, 2022)

Online learning for multi-agent based resource allocation in weakly coupled wireless systems. - Jianhan Song; Gustavo de Veciana; Sanjay Shakkottai (MobiHoc, 2022)

FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. - Liam Collins; Hamed Hassani; Aryan Mokhtari; Sanjay Shakkottai (NeurIPS, 2022)

Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret. - Orestis Papadigenopoulos; Constantine Caramanis; Sanjay Shakkottai (NeurIPS, 2022)

Minimax Regret for Cascading Bandits. - Daniel Vial; Sujay Sanghavi; Sanjay Shakkottai; R. Srikant 001 (NeurIPS, 2022)

Bandit Learning-based Online User Clustering and Selection for Cellular Networks. - Isfar Tariq; Kartik Patel; Thomas David Novlan; Salam Akoum; Milap Majmundar; Gustavo de Veciana; Sanjay Shakkottai (WiOpt, 2022)

Learning Certifiably Robust Controllers Using Fragile Perception. - Dawei Sun; Negin Musavi; Geir E. Dullerud; Sanjay Shakkottai; Sayan Mitra (CoRR, 2022)

Learning To Maximize Welfare with a Reusable Resource. - Matthew Faw; Orestis Papadigenopoulos; Constantine Caramanis; Sanjay Shakkottai (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Meta-Scheduling for the Wireless Downlink Through Learning With Bandit Feedback. - Jianhan Song; Gustavo de Veciana; Sanjay Shakkottai (IEEE/ACM Trans. Netw., 2022)

Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. - Matthew Faw; Litu Rout; Constantine Caramanis; Sanjay Shakkottai (COLT, 2023)

InfoNCE Loss Provably Learns Cluster-Preserving Representations. - Advait Parulekar; Liam Collins; Karthikeyan Shanmugam; Aryan Mokhtari; Sanjay Shakkottai (COLT, 2023)

Meta-Learning for Image-Guided Millimeter-Wave Beam Selection in Unseen Environments. - Jerry Gu; Liam Collins; Debashri Roy; Aryan Mokhtari; Sanjay Shakkottai; Kaushik R. Chowdhury (ICASSP, 2023)

Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits. - Ronshee Chawla; Daniel Vial; Sanjay Shakkottai; R. Srikant 001 (ICML, 2023)

PAC Generalization via Invariant Representations. - Advait U. Parulekar; Karthikeyan Shanmugam; Sanjay Shakkottai (ICML, 2023)

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. - Litu Rout; Negin Raoof; Giannis Daras; Constantine Caramanis; Alex Dimakis; Sanjay Shakkottai (NeurIPS, 2023)

Darwin: Flexible Learning-based CDN Caching. - Jiayi Chen; Nihal Sharma; Tarannum Khan; Shu Liu; Brian Chang; Aditya Akella; Sanjay Shakkottai; Ramesh K. Sitaraman (SIGCOMM, 2023)

A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models. - Litu Rout; Advait Parulekar; Constantine Caramanis; Sanjay Shakkottai (CoRR, 2023)

Multiagent Low-Dimensional Linear Bandits. - Ronshee Chawla; Abishek Sankararaman; Sanjay Shakkottai (IEEE Trans. Autom. Control., 2023)

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. - Litu Rout; Yujia Chen 001; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (CVPR, 2024)

Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. - Liam Collins; Hamed Hassani; Mahdi Soltanolkotabi; Aryan Mokhtari; Sanjay Shakkottai (ICML, 2024)

Predicting the Performance of Cellular Networks: A Latent-resilient Approach. - Kartik Patel; Changhan Ge; Ajay Mahimkar; Sanjay Shakkottai; Yusef Shaqalle (MobiCom, 2024)

CIPAT: Latent-resilient Toolkit for Performance Impact Prediction due to Configuration Tuning. - Kartik Patel; Changhan Ge; Ajay Mahimkar; Sanjay Shakkottai; Yusef Shaqalle (MobiCom, 2024)

In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. - Liam Collins; Advait Parulekar; Aryan Mokhtari; Sujay Sanghavi; Sanjay Shakkottai (NeurIPS, 2024)

RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control. - Litu Rout; Yujia Chen 001; Nataniel Ruiz; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (CoRR, 2024)

Constrained Posterior Sampling: Time Series Generation with Hard Constraints. - Sai Shankar Narasimhan; Shubhankar Agarwal; Litu Rout; Sanjay Shakkottai; Sandeep P. Chinchali (CoRR, 2024)

Meta-Learning Adaptable Foundation Models. - Jacob L. Block; Sundararajan Srinivasan; Liam Collins; Aryan Mokhtari; Sanjay Shakkottai (CoRR, 2024)

A Lyapunov Theory for Finite-Sample Guarantees of Markovian Stochastic Approximation. - Zaiwei Chen; Siva Theja Maguluri; Sanjay Shakkottai; Karthikeyan Shanmugam (Oper. Res., 2024)

Bandits with Mean Bounds. - Nihal Sharma; Soumya Basu 001; Karthikeyan Shanmugam; Sanjay Shakkottai (Trans. Mach. Learn. Res., 2024)

Adaptive KL-UCB Based Bandit Algorithms for Markovian and I.I.D. Settings. - Arghyadip Roy; Sanjay Shakkottai; R. Srikant 001 (IEEE Trans. Autom. Control., 2024)

Bandits with Stochastic Experts: Constant Regret, Empirical Experts and Episodes. - Nihal Sharma; Rajat Sen; Soumya Basu 001; Karthikeyan Shanmugam; Sanjay Shakkottai (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2024)

Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models. - Negin Raoof; Litu Rout; Giannis Daras; Sujay Sanghavi; Constantine Caramanis; Sanjay Shakkottai; Alex Dimakis (ICLR, 2025)

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. - Litu Rout; Yujia Chen 001; Nataniel Ruiz; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (ICLR, 2025)

RB-Modulation: Training-Free Stylization using Reference-Based Modulation. - Litu Rout; Yujia Chen 001; Nataniel Ruiz; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu (ICLR, 2025)

Anchored Diffusion Language Model. - Litu Rout; Constantine Caramanis; Sanjay Shakkottai (CoRR, 2025)

Machine Unlearning under Overparameterization. - Jacob L. Block; Aryan Mokhtari; Sanjay Shakkottai (CoRR, 2025)

Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo. - Advait Parulekar; Litu Rout; Karthikeyan Shanmugam; Sanjay Shakkottai (CoRR, 2025)