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Theja Tulabandhula
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2020 – today
- 2024
- [c31]Alex Christopher Stutts, Divake Kumar, Theja Tulabandhula, Amit Ranjan Trivedi:
Invited: Conformal Inference meets Evidential Learning: Distribution-Free Uncertainty Quantification with Epistemic and Aleatoric Separability. DAC 2024: 363:1-363:4 - [c30]Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi:
Conformalized Multimodal Uncertainty Regression and Reasoning. ICASSP 2024: 6985-6989 - [c29]Alex C. Stutts, Danilo Erricolo, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi:
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge. ICRA 2024: 2029-2035 - [c28]Nastaran Darabi, Sina Tayebati, Sureshkumar Senthilkumar, Dinithi Jayasuriya, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi:
STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy. IJCNN 2024: 1-8 - [c27]Saketh Reddy Karra
, Theja Tulabandhula
InteraRec: Interactive Recommendations Using Multimodal Large Language Models. PAKDD (Workshops) 2024: 32-43 - [i48]Alex Christopher Stutts, Danilo Erricolo
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning. CoRR abs/2402.07107 (2024) - [i47]Saketh Reddy Karra, Theja Tulabandhula:
InteraRec: Interactive Recommendations Using Multimodal Large Language Models. CoRR abs/2403.00822 (2024) - [i46]Son The Nguyen, Uma-Naresh Niranjan, Theja Tulabandhula:
CURATRON: Complete Robust Preference Data for Robust Alignment of Large Language Models. CoRR abs/2403.02745 (2024) - [i45]Sina Tayebati, Theja Tulabandhula, Amit Ranjan Trivedi:
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing. CoRR abs/2406.07833 (2024) - [i44]Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, Amit Ranjan Trivedi:
Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach. CoRR abs/2409.12379 (2024) - 2023
- [j11]Priyank Agrawal
A tractable online learning algorithm for the multinomial logit contextual bandit. Eur. J. Oper. Res. 310(2): 737-750 (2023) - [j10]Mindy K. Ross
A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity. Sensors 23(3): 1585 (2023) - [c26]Emma Ning
Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health: Smartphone Keyboard and Accelerometer as Window into Brain Health. CHI 2023: 326:1-326:15 - [c25]Priyesh Shukla
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. ICASSP 2023: 1-5 - [c24]Alex C. Stutts, Danilo Erricolo
Lightweight, Uncertainty-Aware Conformalized Visual Odometry. IROS 2023: 7742-7749 - [i43]Alex C. Stutts, Danilo Erricolo
Lightweight, Uncertainty-Aware Conformalized Visual Odometry. CoRR abs/2303.02207 (2023) - [i42]Son The Nguyen, Theja Tulabandhula:
Generative AI for Business Strategy: Using Foundation Models to Create Business Strategy Tools. CoRR abs/2308.14182 (2023) - [i41]Alex C. Stutts, Danilo Erricolo
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge. CoRR abs/2309.09593 (2023) - [i40]Nastaran Darabi, Sina Tayebati, Sureshkumar S., Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi:
STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy. CoRR abs/2309.11006 (2023) - [i39]Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi:
Conformalized Multimodal Uncertainty Regression and Reasoning. CoRR abs/2309.11018 (2023) - [i38]Son The Nguyen, Theja Tulabandhula, Duy Nguyen:
Dynamic Tiling: A Model-Agnostic, Adaptive, Scalable, and Inference-Data-Centric Approach for Efficient and Accurate Small Object Detection. CoRR abs/2309.11069 (2023) - [i37]Saketh Reddy Karra, Theja Tulabandhula:
InteraSSort: Interactive Assortment Planning Using Large Language Models. CoRR abs/2311.12241 (2023) - [i36]Son The Nguyen, Theja Tulabandhula, Mary Beth Watson-Manheim:
User Friendly and Adaptable Discriminative AI: Using the Lessons from the Success of LLMs and Image Generation Models. CoRR abs/2312.06826 (2023) - 2022
- [j9]Shamma Nasrin
ENOS: Energy-Aware Network Operator Search in Deep Neural Networks. IEEE Access 10: 81447-81457 (2022) - [j8]Theja Tulabandhula, Deeksha Sinha
Optimizing revenue while showing relevant assortments at scale. Eur. J. Oper. Res. 300(2): 561-570 (2022) - [j7]Priyesh Shukla
Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory. IEEE Trans. Very Large Scale Integr. Syst. 30(1): 68-80 (2022) - [c23]Carlo Amodeo, Igor Fortel, Olusola Ajilore
Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder. MICCAI (1) 2022: 406-415 - [i35]Saketh Reddy Karra, Son Nguyen, Theja Tulabandhula:
AI Personification: Estimating the Personality of Language Models. CoRR abs/2204.12000 (2022) - [i34]Carlo Amodeo, Igor Fortel, Olusola Ajilore
Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder. CoRR abs/2207.02328 (2022) - [i33]Priyesh Shukla
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. CoRR abs/2210.15559 (2022) - 2021
- [c22]Mehrnaz Amjadi, Seyed Danial Mohseni Taheri, Theja Tulabandhula:
KATRec: Knowledge Aware aTtentive Sequential Recommendations. DS 2021: 305-320 - [i32]Saketh Reddy Karra, Theja Tulabandhula:
Choice-Aware User Engagement Modeling andOptimization on Social Media. CoRR abs/2104.00801 (2021) - [i31]Shamma Nasrin, Ahish Shylendra, Yuti Kadakia, Nick Iliev, Wilfred Gomes, Theja Tulabandhula, Amit Ranjan Trivedi:
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators. CoRR abs/2104.05217 (2021) - 2020
- [c21]Priyank Agrawal
Incentivising Exploration and Recommendations for Contextual Bandits with Payments. EUMAS/AT 2020: 159-170 - [c20]Theja Tulabandhula, Yunjuan Wang:
Making Recommendations when Users Experience Fatigue. ISAIM 2020 - [c19]Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi:
Supported-BinaryNet: Bitcell Array-Based Weight Supports for Dynamic Accuracy-Energy Trade-Offs in SRAM-Based Binarized Neural Network. ISCAS 2020: 1-5 - [c18]Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi:
MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. ISCAS 2020: 1-5 - [c17]Priyank Agrawal, Theja Tulabandhula:
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect. UAI 2020: 470-479 - [c16]Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar:
Recommendations under Multi-Product Purchase Behavior. WWW (Companion Volume) 2020: 94-95 - [i30]Priyank Agrawal, Theja Tulabandhula:
Incentivising Exploration and Recommendations for Contextual Bandits with Payments. CoRR abs/2001.07853 (2020) - [i29]Priyesh Shukla
MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. CoRR abs/2003.02629 (2020) - [i28]Theja Tulabandhula, Deeksha Sinha:
Optimizing Revenue while showing Relevant Assortments at Scale. CoRR abs/2003.04736 (2020) - [i27]Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar:
Multi-Purchase Behavior: Modeling and Optimization. CoRR abs/2006.08055 (2020) - [i26]Priyank Agrawal, Theja Tulabandhula:
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect. CoRR abs/2006.10356 (2020) - [i25]Priyank Agrawal, Vashist Avadhanula, Theja Tulabandhula:
Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit. CoRR abs/2011.14033 (2020) - [i24]Tanvir Ahamed, Bo Zou, Nahid Parvez Farazi, Theja Tulabandhula:
Deep Reinforcement Learning for Crowdsourced Urban Delivery: System States Characterization, Heuristics-guided Action Choice, and Rule-Interposing Integration. CoRR abs/2011.14430 (2020) - [i23]Mehrnaz Amjadi, Danial Mohseni-Taheri, Theja Tulabandhula:
KATRec: Knowledge Aware aTtentive Sequential Recommendations. CoRR abs/2012.03323 (2020) - [i22]Nymisha Bandi, Theja Tulabandhula:
Off-Policy Optimization of Portfolio Allocation Policies under Constraints. CoRR abs/2012.11715 (2020)
2010 – 2019
- 2019
- [j6]Babak Shahian Jahromi
Real-Time Hybrid Multi-Sensor Fusion Framework for Perception in Autonomous Vehicles. Sensors 19(20): 4357 (2019) - [c15]Mehrnaz Amjadi, Vijay Kamble, Theja Tulabandhula:
Managing adoption under network effects. NetEcon@SIGMETRICS 2019: 6:1 - [i21]Yunjuan Wang, Theja Tulabandhula:
Thompson Sampling for a Fatigue-aware Online Recommendation System. CoRR abs/1901.07734 (2019) - [i20]Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi:
Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network. CoRR abs/1911.08518 (2019) - 2018
- [c14]Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Asmita Metrewar, Koyel Mukherjee, Raja Subramaniam Thangaraj:
Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing. ATT@IJCAI 2018: 78-85 - [c13]Debjyoti Saharoy, Theja Tulabandhula:
Learning Buyer Behavior under Realistic Pricing Restrictions. ISAIM 2018 - [i19]Debjyoti Saharoy, Theja Tulabandhula:
An Online Algorithm for Learning Buyer Behavior under Realistic Pricing Restrictions. CoRR abs/1803.01968 (2018) - [i18]Mehrnaz Amjadi, Theja Tulabandhula:
Block-Structure Based Time-Series Models For Graph Sequences. CoRR abs/1804.08796 (2018) - [i17]Priyank Agrawal, Theja Tulabandhula:
Bandits with Temporal Stochastic Constraints. CoRR abs/1811.09026 (2018) - 2017
- [j5]Theja Tulabandhula:
Interactions between learning and decision making. AI Matters 3(1): 25-26 (2017) - [c12]Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula:
Learning to Partition using Score Based Compatibilities. AAMAS 2017: 574-582 - [c11]Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Koyel Mukherjee, Asmita Metrewar, Thangaraj Rajasubramaniam:
Profit Optimization in Commercial Ridesharing. AAMAS 2017: 1481-1483 - [c10]Anuj Mahajan, Theja Tulabandhula:
Symmetry Detection and Exploitation for Function Approximation in Deep RL. AAMAS 2017: 1619-1621 - [c9]Sudeep Raja Putta, Theja Tulabandhula:
Pure Exploration in Episodic Fixed-Horizon Markov Decision Processes. AAMAS 2017: 1703-1704 - [c8]U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula:
Provable Inductive Robust PCA via Iterative Hard Thresholding. UAI 2017 - [i16]Arun Rajkumar, Koyel Mukherjee, Theja Tulabandhula:
Learning to Partition using Score Based Compatibilities. CoRR abs/1703.07807 (2017) - [i15]Vikas Jain, Theja Tulabandhula:
Faster Reinforcement Learning Using Active Simulators. CoRR abs/1703.07853 (2017) - [i14]U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula:
Provable Inductive Robust PCA via Iterative Hard Thresholding. CoRR abs/1704.00367 (2017) - [i13]Sudeep Raja Putta, Theja Tulabandhula:
Efficient Reinforcement Learning via Initial Pure Exploration. CoRR abs/1706.02237 (2017) - [i12]Arpita Biswas, Ragavendran Gopalakrishnan, Theja Tulabandhula, Asmita Metrewar, Koyel Mukherjee, Raja Subramaniam Thangaraj:
Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing. CoRR abs/1706.02682 (2017) - [i11]Anuj Mahajan, Theja Tulabandhula:
Symmetry Learning for Function Approximation in Reinforcement Learning. CoRR abs/1706.02999 (2017) - [i10]Deeksha Sinha, Theja Tulabandhula:
Optimizing Revenue over Data-driven Assortments. CoRR abs/1708.05510 (2017) - [i9]Theja Tulabandhula, Shailesh Vaya, Aritra Dhar:
Privacy-preserving Targeted Advertising. CoRR abs/1710.03275 (2017) - 2016
- [c7]Prabuchandran K. J., Tejas Bodas, Theja Tulabandhula:
Reinforcement Learning Algorithms for Regret Minimization in Structured Markov Decision Processes: (Extended Abstract). AAMAS 2016: 1289-1290 - [i8]Ragavendran Gopalakrishnan, Koyel Mukherjee, Theja Tulabandhula:
The Costs and Benefits of Ridesharing: Sequential Individual Rationality and Sequential Fairness. CoRR abs/1607.07306 (2016) - [i7]Prabuchandran K. J., Tejas Bodas, Theja Tulabandhula:
Reinforcement Learning algorithms for regret minimization in structured Markov Decision Processes. CoRR abs/1608.04929 (2016) - [i6]Theja Tulabandhula:
Learning Personalized Optimal Control for Repeatedly Operated Systems. CoRR abs/1609.05536 (2016) - 2015
- [j4]Theja Tulabandhula, Cynthia Rudin:
Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge. Mach. Learn. 100(2-3): 183-216 (2015) - 2014
- [b1]Theja Tulabandhula:
Interactions between learning and decision making. Massachusetts Institute of Technology, Cambridge, MA, USA, 2014 - [j3]Theja Tulabandhula, Cynthia Rudin:
Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing. Big Data 2(2): 97-112 (2014) - [j2]Theja Tulabandhula, Cynthia Rudin:
On combining machine learning with decision making. Mach. Learn. 97(1-2): 33-64 (2014) - [c6]Theja Tulabandhula, Cynthia Rudin:
Generalization Bounds for Learning with Linear and Quadratic Side Knowledge. ISAIM 2014 - [c5]Theja Tulabandhula, Cynthia Rudin:
Robust Optimization using Machine Learning for Uncertainty Sets. ISAIM 2014 - [i5]Theja Tulabandhula, Cynthia Rudin:
Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side Knowledge. CoRR abs/1405.7764 (2014) - [i4]Theja Tulabandhula, Cynthia Rudin:
Robust Optimization using Machine Learning for Uncertainty Sets. CoRR abs/1407.1097 (2014) - 2013
- [j1]Theja Tulabandhula, Cynthia Rudin:
Machine learning with operational costs. J. Mach. Learn. Res. 14(1): 1989-2028 (2013) - 2012
- [c4]Cynthia Rudin, Theja Tulabandhula:
The Influence of Operational Cost on Estimation. ISAIM 2012 - 2011
- [c3]Theja Tulabandhula, Cynthia Rudin, Patrick Jaillet:
The Machine Learning and Traveling Repairman Problem. ADT 2011: 262-276 - [i3]Theja Tulabandhula, Cynthia Rudin, Patrick Jaillet:
Machine Learning and the Traveling Repairman. CoRR abs/1104.5061 (2011) - [i2]Theja Tulabandhula, Cynthia Rudin:
Machine Learning with Operational Costs. CoRR abs/1112.0698 (2011) - 2010
- [i1]Theja Tulabandhula:
Some Architectures for Chebyshev Interpolation. CoRR abs/1001.1185 (2010)
2000 – 2009
- 2009
- [c2]Theja Tulabandhula, Yujendra Mitikiri:
A 20MS/s 5.6 mW 6b Asynchronous ADC in 0.6µm CMOS. VLSI Design 2009: 111-116 - 2008
- [c1]Theja Tulabandhula, Amit Patra, Nirmal B. Chakrabarti:
Design of a Two Dimensional PRSI Image Processor. DSD 2008: 195-202
Coauthor Index
Alex C. Stutts
aka: Alex Christopher Stutts
aka: Alex Christopher Stutts
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last updated on 2024-11-13 23:50 CET by the dblp team
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