5 papers
DiffLTM: Continuous Diffusions Large Tabular Models for Conditional Generation
Alankrita Bhatt, Mukur Gupta, Andrea Montanari +1
Conditional generation is a key capability to be supported by Large Tabular Models, enabling a number of applications. Accurate conditional generation has to contend with two key c…
Generating from Discrete Distributions Using Diffusions: Insights from Random Constraint Satisfaction Problems
Alankrita Bhatt, Mukur Gupta, Germain Kolossov +1
Generating data from discrete distributions is important for a number of application domains including text, tabular data, and genomic data. Several groups have recently used rando…
State-of-the-art Small Language Coder Model: Mify-Coder
Abhinav Parmar, Abhisek Panigrahi, Abhishek Kumar Dwivedi +93
We present Mify-Coder, a 2.5B-parameter code model trained on 4.2T tokens using a compute-optimal strategy built on the Mify-2.5B foundation model. Mify-Coder achieves comparable a…
Optimal Online Bookmaking for Binary Games
Alankrita Bhatt, Or Ordentlich, Oron Sabag
In online betting, the bookmaker can update the payoffs it offers on a particular event many times before the event takes place, and the updated payoffs may depend on the bets accu…
The SMART approach to instance-optimal online learning
Siddhartha Banerjee, Alankrita Bhatt, Christina Lee Yu
We devise an online learning algorithm -- titled Switching via Monotone Adapted Regret Traces (SMART) -- that adapts to the data and achieves regret that is instance optimal, i.e.,…